GITNUXSOFTWARE ADVICE
Gambling LotteriesTop 10 Best Sports Betting Tracking Software of 2026
Ranking roundup of sports betting tracking software for analysts with technical comparisons of OddsPortal, Smarkets, Betburger, plus Pikkit and Trademate.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Pikkit is the best fit if you need reliable, mobile-first bet tracking with import automation and event-level reporting that analysts can trust, whereas BettorEdge suits ongoing ROI and CLV work with repeatable bet history exports, and Bet Angel works best when active traders want monitored outcomes tied to trading rules.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Pikkit
Event and line history tracking ties each bet to market evolution for timing and review workflows.
Built for fits when analysts need reliable import workflows plus recurring event-level reporting without custom tooling..
Unabated Sports
Editor pickAPI-driven normalization of odds and bet events into a consistent tracking record for multi-book workflows.
Built for fits when betting analysts need API-driven tracking across multiple sportsbooks with strong admin controls..
Trademate Sports
Editor pickRules-style automation converts newly imported bet slips into standardized tagged records for recurring reviews.
Built for fits when analysts need repeatable import, tagging, and settlement reporting workflows..
Comparison Table
Pikkit
vertical specialistMobile-first bet tracking app with automatic betslip scanning and social sharing capabilities.
Event and line history tracking ties each bet to market evolution for timing and review workflows.
Pikkit centralizes bet records and event context so users can review outcomes, compare markets over time, and filter by tags without rebuilding spreadsheets. Bet slip import and CSV import reduce manual entry when moving from sportsbook receipts into tracking. Line and event history views support investigation of timing decisions and post-match review. Reporting is designed around repeatable views that update when new bet history is added.
A key tradeoff is that deeper automation depends on consistent data formatting in the imported bet history. Pikkit fits best when an analyst already has a repeatable export path from sportsbooks or aggregators and wants consistent tagging plus recurring reports for each betting market.
- +Bet slip and CSV import cut manual entry for recurring bettors
- +Event and line history views make timing reviews straightforward
- +Tagging supports fast filtering across bankroll and performance reports
- +Reports refresh from imported bet records without rebuilding trackers
- –Import quality depends on consistent source formatting across bookmakers
- –Automation depth is limited when bet metadata is missing from exports
- –Some advanced workflows need more configuration than spreadsheet equivalents
Independent betting analysts
Weekly post-match CLV style review
Sharper decision documentation
Sportsbook data operators
Reconcile settlement outcomes
Fewer reconciliation gaps
Show 2 more scenarios
Quant-adjacent bettors
Tagging for strategy segmentation
Cleaner ROI comparisons
Users apply structured tags so performance views stay separated by strategy and market type.
Betting community moderators
Tipster outcome monitoring
Reliable public-style leaderboards
Users track tagged bet histories to maintain rolling outcomes by tipster and selection cohort.
Best for: Fits when analysts need reliable import workflows plus recurring event-level reporting without custom tooling.
Unabated Sports
vertical specialistBetting analytics platform offering market-based tools, closing line value tracking, and simulator models.
API-driven normalization of odds and bet events into a consistent tracking record for multi-book workflows.
Unabated Sports centers on structured bet records, source mapping, and repeatable review tasks for teams that manage bets across multiple books. The system emphasizes integration depth through an API that can ingest odds and bet events, then normalize them into a consistent tracking view. Configuration options for tags and reporting filters support CLV grading workflows without forcing manual spreadsheet cleanups.
A key tradeoff is that accurate results depend on careful source mapping and consistent bet ID alignment when importing from multiple sportsbooks. Unabated Sports fits situations where analysts already track outcomes and want automation to keep ROI tracking and win-loss reporting current with fewer reconciliation passes.
- +API-first integration supports recurring odds and bet-event ingestion
- +Configurable bet tagging keeps reporting consistent across books
- +Bet history export supports downstream analysis and QA checks
- +Governance controls support multi-user workflows and record discipline
- –Accurate multi-book imports require careful ID and source mapping
- –Advanced automation needs planning for event ordering and updates
- –Some reconciliation details take time to standardize for a team
- –Reporting customization can require iterative configuration work
Quant-style betting analysts
Automate bet outcome tracking
Less manual reconciliation work
Sports betting teams
Standardize tagging and reporting
Comparable team reporting
Show 1 more scenario
Platform integrators
Build custom odds comparisons
Custom dashboards from one model
Use the API to pull odds and push normalized bet data into internal dashboards and QA tooling.
Best for: Fits when betting analysts need API-driven tracking across multiple sportsbooks with strong admin controls.
Trademate Sports
vertical specialistBet tracking software focused on closing line value, bookmaker analysis, and portfolio reporting for sports bettors.
Rules-style automation converts newly imported bet slips into standardized tagged records for recurring reviews.
Trademate Sports supports bet history export and structured bet records so analysts can compare outcomes across books and time windows. The workflow centers on mapping incoming bets into consistent fields using configurable tracking tags and review status, then generating results reports from the standardized record set. Its analysis automation is strongest when tracking decisions repeatedly, such as by event, market, or selection, rather than logging one-off bets.
A tradeoff is that maintaining high data consistency requires disciplined mapping when importing from multiple sources with different bet slip formats. The best usage situation is a recurring analyst routine where new bets arrive via CSV import or bet slip import, then flow through the same tagging and reporting pipeline.
- +Automation-driven tagging turns imported bets into review-ready records
- +CSV import and bet slip import cover common analyst ingestion paths
- +Consistent win-loss reporting supports settlement-focused review cycles
- +Exports support downstream analysis without manual rework
- –Import mapping needs careful governance when formats differ by sportsbook
- –Deep odds comparison requires additional analyst effort versus dedicated odds tools
Sports betting analysts
Automate tag-and-review after imports
Less manual cleanup per batch
Multi-bookie bettors
Normalize results across books
Cleaner cross-book win-loss view
Show 1 more scenario
Model-driven bettors
Audit decision outcomes in reports
Faster model sanity checks
Settled win-loss summaries and exportable histories support checking staking assumptions against results.
Best for: Fits when analysts need repeatable import, tagging, and settlement reporting workflows.
Betsperts
vertical specialistSports betting community platform combining bet tracking with social features and handicapper marketplaces.
API-first automation for synchronizing odds and exporting enriched bet history for downstream grading workflows.
Betsperts is a sports betting tracking system built around bet records, settlement outcomes, and performance reporting for analysts and serious bettors. The workflow centers on organizing bet history, importing slips in bulk, and maintaining consistency across markets and competitions.
Reporting focuses on win-loss visibility and performance breakdowns that support ROI tracking and closing-line style review. Automation and integration are geared toward keeping bet data current through import routines and an API-focused surface for feeds and exports.
- +Bulk bet slip import reduces manual re-entry across events
- +API support supports automated odds feed updates and bet history export
- +Performance reports support ROI tracking across sports and markets
- +Settlement-led calculation keeps win-loss outcomes tied to recorded bets
- –Advanced setups need careful mapping of sportsbooks and markets
- –Automation coverage depends on disciplined data hygiene in imported histories
- –Granular market annotations require consistent tagging practices
- –Some analyst workflows feel slower than dedicated odds-shopping tools
Best for: Fits when an analyst team needs repeatable bet tracking with import and API automation for performance reporting.
BettorEdge
consumer platformSocial betting platform with bankroll tracking, pick history, and performance record features.
Closing-line capture tied to imported line history enables CLV-oriented grading across multiple sportsbooks.
BettorEdge tracks bets end to end, from slip import and bet history export to win-loss reporting and performance summaries. It supports multi-sportsbook bet history ingestion with bet tagging so analysts can segment results by league, market, and strategy.
BettorEdge also manages closing-line and line movement context for CLV-oriented grading workflows. The tool is built around repeatable imports and exportable records for settlement reconciliation and ongoing bankroll-style review.
- +Line-by-line bet history exports support settlement reconciliation workflows.
- +Bet tagging enables reliable strategy and market segmentation in reports.
- +Multi-sportsbook ingestion helps consolidate performance across books.
- +Import pipelines reduce manual data entry for recurring tracking.
- –Complex analysis requires more setup time than CSV-only workflows.
- –CLV and grading outputs are only as good as imported line fields.
Best for: Fits when analysts need repeatable imports, segmentation, and exportable bet history for ongoing CLV and ROI tracking.
Juice Reel
consumer platformSports betting app that syncs sportsbook accounts and tracks bets, lines, bankroll, and market movement.
Settlement-state tracking that keeps bet outcomes aligned with imported histories for cleaner reconciliation.
Juice Reel targets sports betting tracking workflows where each wager needs consistent fields for stake, odds context, and settlement status.
Core usage centers on building a bet history you can filter by tag and outcome, then exporting for reporting and review.
The product emphasizes repeatable batch ingestion and batch outputs, which suits users who process multiple leagues and markets on a regular cadence.
- +Strong tagging and filtering for bet history review and segmentation
- +Import and export workflows support repeatable analysis cycles
- +Settlement-aware records help reduce mismatches between stake and result
- +Batch reporting outputs support ROI and win-loss reviews
- –API and third-party automation depth is less visible than peers
- –Advanced configuration requires more spreadsheet-style data preparation
- –CLV-specific line history grading needs extra setup to stay consistent
- –Multi-sportsbook aggregation depends on clean source feeds and naming
Best for: Fits when a betting analyst needs structured bet history, settlement reconciliation, and repeatable imports and exports.
Covers
vertical specialistSports betting information and odds portal with a built-in pick and bet tracking module.
Historical odds and closing-line review linked to bet records for quick CLV-style audits
Covers focuses on sports betting tracking built around market prices and bet history, not just personal spreadsheets. The workflow centers on importing and maintaining wagers and results so win-loss, unit outcomes, and performance summaries stay consistent over time.
Covers also supports line-focused review through historical odds views and bet-by-bet tagging so analysts can audit where information came from. For teams, reporting and exports help standardize settlement checks and post-mortem grading across multiple bet types.
- +Line history views make closing-odds review practical
- +Exportable bet history supports external ROI and CLV grading
- +Bet tagging helps separate models, tip sources, and bet types
- +Settlement and results tracking keep win-loss reporting consistent
- –API and automation surface is limited compared with analytics-first competitors
- –Multi-sportsbook aggregation workflow depends on manual import discipline
- –Data normalization for odds formats can require repeated cleanup
- –Advanced governance controls like RBAC and audit logs are not a core emphasis
Best for: Fits when analysts need line-history review and consistent win-loss summaries with exportable history for offline grading.
BetExplorer
vertical specialistOdds comparison and results service that includes a My Bets tracking section.
Historical odds mapping for each tracked bet so closing odds and line movement remain connected to the bet record.
BetExplorer focuses on bet tracking with a workflow built around importing bet history and maintaining a structured record of results across sports. Its core capabilities center on organizing bets, viewing performance metrics, and exporting bet history for external analysis.
The product is distinct for analysts who need consistent CLV-style line comparisons through historical odds records tied to tracked bets. Admin and automation depth shows up most clearly through import and export tooling that supports repeatable updates to an existing tracking history.
- +Structured bet history with clear result tracking for ongoing bankroll reviews
- +Historical odds support enables closing odds comparison inside tracked markets
- +Export workflows support repeatable ROI tracking in external spreadsheets
- +Import-driven updates reduce manual re-entry for high-volume betslips
- –Odds feed automation is limited compared with full API-first competitors
- –CLV grading depth depends on having consistent line history coverage per bet
Best for: Fits when betslips arrive in batches and closing odds comparisons must stay tied to each wager.
Blogabet
vertical specialistTipster community platform that records and verifies betting picks and yield.
Bet history views emphasize settled-result performance summaries instead of live odds feed analysis.
Blogabet logs betting results and organizes bet history with fields for outcomes, odds, and timestamps. The product supports tracking workflows for yield and performance summaries tied to settled results.
Setup focuses on manual entry and import options rather than deep odds feed normalization. Reporting centers on win-loss visibility and exportable history for further analysis.
- +Clear bet history layout with per-bet fields for outcome and timing
- +Works well for manual tracking and spreadsheet-style record keeping
- +Exported bet history supports offline analysis workflows
- +Performance summaries update from settled results
- –Limited odds shopping and line movement automation for analysts
- –No documented API surface for programmatic bet ingestion
- –Automation for settlement reconciliation across books is thin
- –Requires consistent manual tagging discipline for clean reporting
Best for: Fits when analysts prefer controlled, manual bet logging with exportable history for spreadsheet or BI work.
Bet Angel
vertical specialistBetfair trading and betting strategy software with ladder interface and automation.
Its strategy automation engine ties odds conditions to scripted actions and live guidance, not just record keeping.
Bet Angel targets analysts and traders who want live market automation inside their own workflow rather than a read-only tracking view.
It combines bet history logging with rules-driven alerts and order management features that extend from data capture into execution.
The product supports importing and exporting bet records so results can be reviewed as win-loss summaries and tagging-friendly histories.
Bet Angel also supports odds feeds and integrations that help keep recorded prices aligned with the markets being monitored.
- +Rule-based automation connects market monitoring to actionable bet logic
- +Bet history export supports spreadsheet review and settlement reconciliation
- +Odds import and feed-driven price updates reduce manual rekeying
- +Tagging and filters make post-bet ROI tracking and review faster
- –Advanced automation requires sustained configuration and testing discipline
- –Multi-source aggregation depends on available feed and import paths
- –Reporting depth is weaker than dedicated analytics suites
- –Workflow customization can add complexity to simple tracking needs
Best for: Fits when active traders need monitored bet history, alerts, and execution-linked rules in one workflow.
Conclusion
After evaluating 10 gambling lotteries, Pikkit stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right sports betting tracking software
This guide groups sports betting tracking software tools around the workflows analysts use to import bets, keep market context, and grade results over time. It covers Pikkit, Unabated Sports, Trademate Sports, Betsperts, BettorEdge, Juice Reel, Covers, BetExplorer, Blogabet, and Bet Angel.
The comparison lens focuses on integration depth, odds and bet history handling, and how automation works for recurring review cycles. The tool set includes API-first normalization in Unabated Sports and Betsperts, rules-style tagging in Trademate Sports, and event and line history tracking in Pikkit.
Sports betting tracking software for bet-history, odds context, and automated review
Sports betting tracking software stores bet slips and outcomes alongside market context like odds, closing lines, and line movement so analysts can audit performance and run CLV-style grading workflows. Many tools also support bet history export for settlement reconciliation and offline ROI tracking.
Pikkit ties each tracked wager to event and line history views that make timing reviews easier without custom tooling. Unabated Sports shifts the ingestion model toward API-driven normalization so odds and bet events land in a consistent tracking record across multiple sportsbooks with configurable bet tagging.
Sports betting tracking software features that determine auditability and automation
Tracking software earns trust when each bet record stays connected to the market context used to place it, including odds history and closing lines. That linkage determines whether CLV-style grading, ROI tracking, and settlement reconciliation stay consistent from import to export.
Automation depth matters because bet slips and odds updates rarely arrive in a single format. Tools built around API-first normalization or rules-style tagging reduce manual mapping work while keeping bet history exports usable for downstream analysis.
Event and line history tied to each wager
Pikkit anchors tracked bets to event and line history views so timing reviews stay connected to market evolution. Covers maps historical odds to each bet record for quick closing-odds review inside tracked markets.
API-driven odds and bet-event normalization
Unabated Sports uses API-driven normalization to keep odds and bet events in a consistent tracking record across multiple sportsbooks. Betsperts also leads with API-first automation for synchronizing odds and exporting enriched bet history for grading workflows.
Rules-style automation for imported bet slips
Trademate Sports converts newly imported bet slips into standardized tagged records through rules-style automation for repeatable review workflows. Juice Reel emphasizes structured settlement-state tracking and keeps outcomes aligned with imported histories for cleaner reconciliation loops.
Bet slip and bulk CSV import coverage
Pikkit reduces manual entry with bet slip and CSV import workflows for recurring bettors. Betsperts offers bulk bet slip import to lower re-entry across events and pair that with API support for odds feed updates.
Closing-line capture for CLV-oriented grading
BettorEdge captures closing-line fields from imported line history so analysts can run CLV and ROI tracking from exported bet history. Covers and BetExplorer both support closing-odds review linked to tracked bets, but BettorEdge’s closing-line capture is positioned for grading workflows.
Exportable bet history for offline grading
Betting analysts often need bet history exports that include outcomes and timing fields for spreadsheet or BI review. BettorEdge, Juice Reel, and Blogabet all provide exportable bet history workflows geared toward settlement reconciliation and structured record keeping.
How to choose sports betting tracking software for integration depth and automated review cycles
The decision starts with the ingestion shape because betslips and odds updates arrive as either exports for manual import or programmatic feeds that require normalization. Selecting a tool that matches the import format reduces mapping failures that break closing-line capture and result grading.
The second fork is automation philosophy. Some tools standardize and tag records as a first step, while others keep more analyst control by emphasizing event context or historical odds mapping tied to each wager.
Pick an ingestion model that matches the team’s data source format
If odds and bet events arrive from multiple sportsbooks through programmatic endpoints, Unabated Sports and Betsperts support API-first automation that normalizes odds and bet history for recurring updates. If the workflow starts with bet slip files or CSV exports, Pikkit and Trademate Sports cover bet slip and CSV import paths built for repeatable analyst ingestion.
Choose between tagging automation or market-context-first auditing
For rules-style repeatability, Trademate Sports turns imported slips into standardized tagged records so reporting stays consistent across review cycles. For audit workflows that depend on market evolution, Pikkit ties bets to event and line history so timing reviews work without custom tooling.
Validate how the tool preserves IDs for closing-odds linkage
Multi-book imports require careful ID and source mapping in Unabated Sports, and those mappings must remain stable for accurate closing-line capture. BetExplorer also maps historical odds to each tracked bet, so it works best when closing-odds comparisons can remain tied to each wager across batch imports.
Test settlement reconciliation with real import histories
Juice Reel tracks settlement-state alignment so outcomes stay consistent with imported histories across repeatable analysis cycles. BettorEdge also supports settlement reconciliation workflows, but its CLV and grading outputs depend on the imported line fields that carry the closing line.
Plan for automation depth when bet metadata is missing
Pikkit’s import quality depends on consistent source formatting across bookmakers, so missing metadata can limit deeper automation. Trademate Sports relies on rules-style tagging, so incomplete slip fields can force extra analyst effort to standardize records before grading.
Use strategy automation only when execution-linked alerts are required
Bet Angel ties odds conditions to scripted actions and live guidance, which fits monitored bet history plus actionable rules in one workflow. The rest of the category focuses on tracking, tagging, and exportable bet history, so strategy automation adds configuration overhead for teams that only need review records.
Who sports betting tracking software is built for
Sports betting tracking software is most useful when analysts must review performance with market context, not just log outcomes. The right tool depends on whether the workflow is built around repeated imports, API-driven normalization, or export-heavy CLV grading.
Teams also differ by how they manage bet metadata consistency across sportsbooks. Tools that depend on stable IDs and line fields reward disciplined import hygiene, while market-context-first tools reduce the need for custom mapping work.
Betting analysts importing recurring bet slip batches
Pikkit fits workflows that combine bet slip and CSV import with recurring event-level reporting built on event and line history views. BetExplorer supports closing-odds comparison when betslips arrive in batches that can keep odds mapping connected to each wager.
Multi-sportsbook operators running programmatic ingestion
Unabated Sports normalizes odds and bet events through an API-driven approach and keeps reporting consistent with configurable bet tagging. Betsperts pairs API support for odds feed updates with bet history export designed for grading workflows.
Analyst teams focused on standardized tagging and repeatable reviews
Trademate Sports applies rules-style automation to imported bet slips so tagging produces review-ready records for recurring workflows. Juice Reel provides strong tagging and filtering on bet history so segmentation stays consistent across cycles.
CLV and ROI graders who rely on closing-line accuracy
BettorEdge captures closing-line values tied to imported line history to support CLV-oriented grading outputs and segmentation for ongoing ROI tracking. Covers and BetExplorer also connect line history or closing odds to bet records, but BettorEdge is positioned around grading-oriented exports built from closing-line fields.
Traders needing odds-condition automation tied to actions
Bet Angel links odds conditions to scripted actions and live guidance, which suits monitored bet history workflows that combine alerts with settlement reconciliation export.
Common failure modes when buying sports betting tracking software
Many buying mistakes come from assuming all tools handle the same import and mapping constraints. Import format differences can break the linkage between bet records and line history, which then undermines CLV and settlement reconciliation workflows.
Another frequent mistake is selecting a tool for manual tracking when the real need is API-driven automation and repeatable updates. That gap shows up as higher operational work for multi-sportsbook aggregation and delayed corrections to historical odds context.
Choosing a tool that depends on stable source formatting without validating the current exports
Pikkit’s import quality depends on consistent source formatting across bookmakers, so validate bet slip and CSV fields from each sportsbook before committing. If the export format changes often, Unabated Sports or Betsperts can be a better fit because their API-first normalization reduces reliance on brittle field layouts.
Assuming multi-book ingestion will work without ID and source mapping discipline
Unabated Sports requires careful ID and source mapping for accurate multi-book imports, so test reconciliation on a week of real bets. Trademate Sports and Betsperts also need careful import mapping when formats differ by sportsbook, so governance discipline is required to keep tagged records consistent.
Treating closing-odds fields as interchangeable across tools
BettorEdge grading quality depends on imported line fields, so missing closing-line data will directly degrade CLV outputs. BetExplorer can keep closing-odds comparisons tied to each wager when line history coverage is consistent, so check line coverage for each market type in a pilot import.
Buying for offline grading but ignoring settlement-state alignment
Juice Reel emphasizes settlement-state tracking that keeps bet outcomes aligned with imported histories, so it supports cleaner reconciliation exports. Blogabet focuses on settled-result performance summaries and manual tracking, so it can underperform when reconciliation requires tighter alignment between histories and outcomes.
Over-selecting strategy automation when the team only needs tracking and exports
Bet Angel provides rule-based automation that connects market monitoring to actionable bet logic, which requires sustained configuration and testing discipline. If the team only needs bet history export for CLV and ROI review, tools like Pikkit, Covers, or BettorEdge reduce configuration overhead.
How We Selected and Ranked These Tools
We evaluated Pikkit, Unabated Sports, Trademate Sports, Betsperts, BettorEdge, Juice Reel, Covers, BetExplorer, Blogabet, and Bet Angel against integration depth, odds and bet history handling, and how automation supports recurring review cycles. Features weighed 40% of the score because the category relies on event and line history linkage, API-driven normalization, rules-style tagging, and exportable bet history for downstream grading workflows.
Ease and value each weighed 30% because import workflows and mapping effort determine whether bet slips and CSV inputs reliably become review-ready records. Pikkit ranked highest because event and line history tracking stays tied to each bet for timing review workflows without custom tooling, and its bet slip plus CSV import reduces manual re-entry for recurring bettors.
Frequently Asked Questions About sports betting tracking software
How do OddsPortal, Smarkets, and Betburger differ for closing line value and line movement review workflows?
Which tool is best when betslips arrive in batches and must stay tied to closing odds comparisons?
How do import workflows stay consistent when multiple users track bets across different sportsbooks?
Which platform uses an API-driven normalization model for odds and bet events across multiple books?
What data migration steps are needed to move existing bet history into Pikkit, Covers, or Blogabet?
How does settlement reconciliation differ between Juice Reel and tools that emphasize win-loss reporting only?
What breaks if line history and bet history get out of sync in a CLV grading workflow?
When users need RBAC and audit logging for team workflows, which tools provide clearer admin controls?
How does rules-based automation change the workflow compared with pure bet tagging and reporting?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
- Gambling LotteriesTop 10 Best Sports Betting Software of 2026
- Gambling LotteriesTop 10 Best Bet Tracking Software of 2026
- Gambling LotteriesTop 10 Best Horse Racing Betting Software of 2026
- AI In IndustryTop 10 Best Sports Betting App Development Services of 2026
- Data Science AnalyticsTop 10 Best Sports Analytics Services of 2026
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