GITNUXSOFTWARE ADVICE
Gambling LotteriesTop 10 Best Chinese Poker Software of 2026
Top 10 ranked chinese poker software for 2026, covering trackers and stats tools like PokerTracker, with editor notes on fit and tradeoffs.
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
PPPoker is the best pick for operators who need consistent Chinese poker scoring and exportable hand logs across frequent tables, whereas PokerStars is the better fit when tournament and hand-history review matter more than programmable OFC automation, and FlopTurnRiver OFC works as a low-cost browser option for small teams that just need reliable OFC hand scoring and exports.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
PPPoker
End-to-end scoring that ties thirteen-card arrangement selection to three-row royalty and scoop outputs.
Built for fits when operators need consistent Chinese poker scoring and exportable hand logs across frequent tables..
PokerStars
Editor pickReal-time tournament table operations with consistent hand history capture for later analysis.
Built for fits when tournaments and hand-history driven review matter more than programmable Chinese poker automation..
Phenom Poker
Editor pickSession-level settlement output ties foul-hand detection to the exact thirteen-card arrangement submitted.
Built for fits when tournament ops need consistent Open Face scoring, exports, and API event integration for many tables..
Related reading
Comparison Table
PPPoker
vertical specialistPrivate poker club platform that includes Chinese Poker among its supported game formats.
End-to-end scoring that ties thirteen-card arrangement selection to three-row royalty and scoop outputs.
PPPoker handles the core rules loop by mapping a thirteen-card deal into a three-row hand layout and producing per-row hand rankings. It then derives match-level scoring such as royalties and scoop bonuses from the final arrangement, which reduces manual spreadsheet work. Hand history export supports downstream review for disputes and training datasets.
A tradeoff appears in integration work, because automation and external hand ingestion depend on the available integration surface rather than a fully public automation API. PPPoker fits situations where the operational team runs frequent tables and needs consistent scoring outputs with exportable hand logs.
- +Consistent three-row scoring from thirteen-card arrangements
- +Royalty and scoop calculations derived from final hand layout
- +Hand history export supports review and reconciliation
- +Multi-player table management supports real-time rounds
- –Automation access is limited without a dedicated integration path
- –Rule-edge handling requires careful operator configuration for variants
Tournament directors
Run timed Chinese poker rounds
Faster dispute resolution
Cash-game operators
Operate multi-table daily sessions
Reduced scoring drift
Show 2 more scenarios
Training analysts
Build decision review datasets
More accurate coaching
Export hand histories and replay outcomes to study layout choices and royalty patterns.
Game masters
Verify match results quickly
Lower reconciliation workload
Rely on derived scoop and royalty outcomes to confirm results without manual recalculation.
Best for: Fits when operators need consistent Chinese poker scoring and exportable hand logs across frequent tables.
More related reading
PokerStars
enterpriseMajor online poker room offering Open Face Chinese Pineapple cash games and tournaments.
Real-time tournament table operations with consistent hand history capture for later analysis.
PokerStars runs real-time multiplayer tables with high concurrency and an established tournament table management flow for structured play. It provides hand history export that can feed separate analysis tools like trackers and stats workflows. The platform focus is the play client and event operations, not a programmable rules engine or a third-party API for injecting Chinese poker logic. Administratively, it also relies on platform-side governance rather than exposing RBAC-style controls for external systems.
A key tradeoff is limited API-based game integration for Chinese poker-specific automation, so custom foul-hand detection or pairing logic usually must live outside the platform. PokerStars fits well when the need is stable multiplayer sessions plus reliable hand history capture for downstream evaluation. It is less suitable when a Chinese poker provider needs bespoke automation hooks or custom thirteen-card arrangement visualization to be driven by external software.
- +Stable real-time multiplayer tables under high tournament concurrency
- +Hand history export supports tracker-based review workflows
- +Consistent client layout improves three-row play execution
- +Broad tournament table management reduces operational overhead
- –Thin API surface for Chinese poker rules automation integration
- –External governance controls like fine-grained audit log export are limited
- –Automation is constrained by client-first design boundaries
- –Custom analytics depend on third-party tooling, not native hooks
Tournament grinders and analysts
Review sessions using exported hand histories
Faster leak review cycles
Operator-led poker training teams
Coordinate coaching around recorded hands
Repeatable training feedback loops
Show 1 more scenario
Tracker-centric player communities
Feed external stats tools with session logs
Comparable performance metrics
Exported hands integrate into existing stats and review toolchains.
Best for: Fits when tournaments and hand-history driven review matter more than programmable Chinese poker automation.
Phenom Poker
SMBOnline poker platform that launched Open Face Chinese Poker across all stakes with Fantasyland support.
Session-level settlement output ties foul-hand detection to the exact thirteen-card arrangement submitted.
Phenom Poker is differentiated by its handling of the three-row hand layout and foul-hand outcomes inside the same session workflow. It keeps user actions tied to a single thirteen-card arrangement so outputs map cleanly to the three-card front and five-card middle and back evaluations. Hand history export helps operators audit game flow across sessions when players or tables need later review.
The main tradeoff is that automation and API usage typically requires a well-defined operational process around table lifecycle and event timing. It fits best when a host wants consistent scoring and settlement records for real-time multiplayer tables and later reconciliation, rather than when teams only need static replay views.
- +Three-row hand entry keeps thirteen-card arrangement and scoring aligned
- +Hand history export supports post-session reconciliation and reporting
- +API-focused event and scoring integration supports external game coordination
- +Foul-hand outcomes are generated as part of settlement-ready results
- –API-driven setups need careful table lifecycle and event ordering discipline
- –Advanced automation coverage depends on correct client-side event mapping
- –Some UI workflows feel optimized for live play over offline analysis
- –Custom reporting requires extra work beyond default exports
Tournament directors
Run consistent hand scoring
Fewer scoring disputes
Game operators
Reconcile multi-table hand history
Clean audit trails
Show 2 more scenarios
Platform engineers
Integrate game events via API
Reduced manual glue code
Use the API to send game-state and receive scoring events for orchestration.
Live poker hosts
Support real-time table operations
Faster settlement cycles
Use the table workflow to manage frequent hands and keep scoring outputs consistent.
Best for: Fits when tournament ops need consistent Open Face scoring, exports, and API event integration for many tables.
More related reading
Open Face Chinese Poker Pro
vertical specialistMobile application dedicated to Open Face Chinese Poker with single-player and multiplayer modes.
Foul-hand detection tied to its thirteen-card three-row arrangement reduces incorrect front-middle-back legality during scoring.
Open Face Chinese Poker Pro is a Chinese poker scoring and table-management tool focused on the thirteen-card arrangement and its three-row layout. It handles hand evaluation across the three-card front hand and five-card middle and back hands, then translates results into standard royalty and scoop outcomes.
The software is designed for multi-player table flow so hands can be recorded and settled in sequence without manual recalculation. It also supports hand history export so disputes can be reviewed after play.
- +Reliable Open Face scoring for three-row hands
- +Includes foul-hand detection to reduce settlement errors
- +Hand history export supports post-game review
- +Multi-player table management fits live sessions
- –Royalty variants like progressive royalties need careful rules alignment
- –API surface for external integrations is limited
- –UI workflows are slower for rapid tournament pacing
- –Collusion and anti-bot monitoring are not the primary focus
Best for: Fits when groups need repeatable Open Face Chinese Poker settlement with exportable hand logs.
PokerBROS
vertical specialistMobile poker club software that supports Open-Face Chinese Poker alongside other table formats.
OFCP-specific three-row layout entry that ties directly to royalty and scoop calculation from stored hand states.
PokerBROS provides a Chinese poker play and score workflow for Open Face Chinese Poker, including a three-row thirteen-card arrangement mapped to front, middle, and back hands. The software focuses on turn-by-turn table management plus hand evaluation so results like royalty scoring and scoop bonus can be computed from each final arrangement.
It also supports game-state persistence and hand history export so tournaments and cash sessions can be reviewed after the round. Integration depth is oriented around embedding into an existing table flow rather than exposing a public API-centric game integration layer.
- +OFCP hand entry mirrors the three-row thirteen-card layout
- +Royalty scoring and scoop bonus are computed from saved arrangements
- +Table session records persist so rounds can be replayed and exported
- +Hand history export supports later reconciliation of outcomes
- –Multi-player table engine coverage is narrower than top-ranked tools
- –API and automation surface are limited for external tournament systems
- –Side-pot style accounting workflows are not the primary focus
- –Anti-collusion monitoring features are not clearly positioned for operators
Best for: Fits when small card rooms need OFCP scoring, persistence, and hand export without heavy automation.
Advanced Poker Training
SMBPoker training platform offering Chinese Poker drill modules alongside Texas Holdem training.
Rule-aware hand review that flags invalid lines using foul-hand detection and pairs that with three-row ranking evaluation.
Advanced Poker Training targets Open Face Chinese Poker and adjacent Chinese poker variants with a training-first workflow around hand analysis and repeatable study sessions. Core capabilities focus on generating and reviewing thirteen-card arrangements across the three-row layout so players can evaluate decision quality across front, middle, and back hands.
The tool emphasizes hand-level feedback tied to foul detection and hand-ranking evaluation so study outputs reflect rule-legal outcomes instead of generic poker heuristics. For players who want consistent post-session review, it supports exporting hand histories for tournament-style and cash-style practice analysis.
- +Strong study workflow for Open Face Chinese Poker decisions
- +Feedback aligns with rule legal outcomes via foul-hand detection
- +13-card arrangement review supports front, middle, and back critique
- +Hand-history export helps turn sessions into structured review
- –Limited integration depth for API-based game integration
- –Automation coverage is lighter for real-time multiplayer table management
- –Fewer governance controls for team-wide provisioning and audit trails
- –Training outputs depend on accurate manual input quality
Best for: Fits when solo and small-group students need structured thirteen-card review with rule-accurate feedback for Open Face Chinese Poker.
More related reading
OFC Poker AI
vertical specialistReal-time solver for Open Face Chinese and Pineapple poker that provides math-backed placement, discard, and Fantasyland decisions.
AI guidance is integrated into OFC placement evaluation, showing legality and outcome impact as the hand is arranged.
OFC Poker AI targets Open Face Chinese Poker workflows with an AI-driven assistant for decision support rather than only scorekeeping. Core capabilities focus on handling the three-row thirteen-card arrangement, calculating hand outcomes like royalties and scoops, and validating placements against standard legality rules.
The product is also positioned for table play support, including hand history logging and move-by-move guidance that can be replayed during review. Compared with Chinese poker trackers, OFC Poker AI adds decision assistance tightly coupled to the hand evaluation flow.
- +AI decision guidance is tied to OFC hand legality checks
- +Royalty and scoop scoring covers typical OFC payout structures
- +Three-row hand arrangement input maps directly to evaluation output
- +Hand history logging supports post-game review and reconciliation
- –Table management automation is limited compared with full tournament directors
- –Advanced governance controls for multi-user deployments are not prominent
- –Extensibility through an API is not a central surfaced capability
- –Deep anti-collusion monitoring and bot detection tools are not clearly included
Best for: Fits when players want AI-assisted OFC placement feedback plus scoring during practice hands.
CrownAI OFC
vertical specialistAI engine for Open Face Chinese Poker covering Regular, Pineapple, and Progressive Fantasyland variants with sub-200-millisecond placement.
Foul-hand detection tied to the arranged thirteen-card state catches invalid three-row configurations at input time.
CrownAI OFC is a Chinese-poker software offering focused on Open Face Chinese Poker workflows and automated hand evaluation. It centers on a thirteen-card arrangement with a three-row layout and supports hand breakdown across front, middle, and back hands.
The core value comes from turn-by-turn guidance for valid layouts plus generated scoring output tied to each arranged hand. It also supports hand history export for tournament and cash-game review loops.
- +Open Face Chinese Poker flow with automatic three-row hand breakdown
- +Hand history export supports post-session review and documentation
- +Foul-hand detection helps catch invalid arrangements during play
- +Royalty-aware scoring output reduces manual reconciliation
- –API depth is limited for external table engines and bots
- –Automation coverage depends on correct thirteen-card input entry
- –Multi-table operations feel constrained for high tournament throughput
- –Anti-collusion monitoring is not positioned as a configurable module
Best for: Fits when event staff need reliable O/F layout validation and exported hand results for review.
More related reading
FlopTurnRiver OFC
SMBFree browser-based Open Face Chinese and Pineapple OFC play tool with Fantasyland and drag-and-drop card placement.
Royalty computation is integrated directly into the hand completion flow for immediate per-player outcome reporting.
FlopTurnRiver OFC handles Open Face Chinese Poker sessions with a table and scoring workflow designed around a three-row thirteen-card arrangement. It generates completed hand scoring for front, middle, and back lines and can compute royalty outcomes tied to the formed hands.
The software supports table management for real play and produces hand exports for post-session review. FlopTurnRiver OFC places most of its integration effort on game-state handling and results generation rather than on external analytics dashboards.
- +OFC scoring tied to a fixed three-row, thirteen-card deal workflow
- +Hand export supports downstream review and documentation of outcomes
- +Table experience stays centered on hand completion and royalty results
- +Game-state synchronization keeps multi-hand sessions consistent
- –API and automation surface are limited for external orchestration
- –Admin controls for player states and fairness tooling are not extensive
- –Collusion or foul-hand detection controls are not granular for edge cases
- –Mobile table interface support is thin compared with desktop-first setups
Best for: Fits when a small team needs dependable OFC hand scoring and exports without heavy automation.
PokerBotAI PokerX
vertical specialistMulti-variant poker bot engine with a dedicated OFC specialist trained on billions of synthetic and real hands.
Arrangement-aware scoring that maps a thirteen-card input into three-row front, middle, and back outputs with royalty-style totals.
PokerBotAI PokerX targets Chinese poker operators who need automated evaluation and handling across Open Face Chinese Poker formats. Core capabilities focus on thirteen-card arrangement analysis, per-hand scoring output, and hand history export for review and backtesting.
The software also supports multi-player table style sessions where game-state updates drive consistent results across hands. Integration depth is oriented around automation workflows rather than deep player-account governance features.
- +Produces consistent three-row hand scoring for standard formats
- +Exports hand history in a review-friendly workflow output
- +Supports multi-player session scoring tied to game-state updates
- +Automates arrangement checks for quicker table decisions
- –Limited admin controls for roles, audit logs, and permissions
- –Foul-hand detection coverage is not detailed for edge cases
- –Automation and API surface are narrower than tracker-style tools
- –UI configuration for advanced scoring rules requires careful setup
Best for: Fits when a small team needs automated Chinese poker hand evaluation and export, with minimal governance overhead.
Conclusion
After evaluating 10 gambling lotteries, PPPoker 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 chinese poker software
This guide compares Chinese poker software built around thirteen-card arrangement handling and three-row settlement workflows, and it covers PPPoker, Phenom Poker, and Open Face Chinese Poker Pro as core options. The tool set also includes PokerStars for tournament table operations with hand history export, plus Phenom Poker and OFC Poker AI for workflows that tie legality checks to session outputs.
The ranking emphasis favors integration depth, automation and API surface, and governance controls that affect multi-table throughput and external review pipelines, not just score calculation.
Chinese poker software for Open Face Chinese Poker scoring, settlement, and hand-history export
Chinese poker software manages thirteen-card arrangement entry and produces three-row outputs that drive royalty and scoop results for Open Face Chinese Poker hands. In practice, it determines how foul-hand detection is applied to the exact front, middle, and back line so settlement matches the submitted arrangement.
PPPoker stands out for end-to-end scoring that ties the thirteen-card selection to three-row royalty and scoop outputs with exportable hand logs across frequent tables. Phenom Poker focuses on session-level settlement output that ties foul-hand detection to the submitted thirteen-card arrangement and supports hand history export for post-session reconciliation and reporting.
Thirteen-card to three-row settlement features that decide score accuracy
Chinese poker software earns trust when the thirteen-card arrangement you input maps to the three-row front middle back output used for royalty and scoop results. This guide prioritizes features that keep that mapping consistent across table throughput and exported hand logs.
Arrangement-linked royalty and scoop outputs
PPPoker computes royalty and scoop directly from the final three-row layout derived from the thirteen-card arrangement. PokerBROS also ties OFCP three-row entry to royalty scoring and scoop bonus from stored hand states.
Foul-hand detection tied to the submitted row layout
Phenom Poker connects foul-hand detection to the exact thirteen-card arrangement submitted at session settlement time. Open Face Chinese Poker Pro reduces incorrect front middle back legality during scoring by tying foul-hand detection to its three-row arrangement.
Hand history export that supports post-session reconciliation
Phenom Poker supports hand history export for post-session reconciliation and reporting after each session. CrownAI OFC and FlopTurnRiver OFC both export hand results for downstream review and documentation.
Real-time multiplayer table operations for tournament workflows
PokerStars provides stable real-time tournament table operations under high concurrency and keeps hand history capture consistent for later analysis. PPPoker focuses on frequent-table exportable hand logs with scoring consistency rather than tournament-centric multiplayer operations.
Session-level settlement output that ties legality to thirteen-card submission
Phenom Poker produces session-level settlement output that keeps foul-hand detection aligned with the thirteen-card arrangement submitted. OFC Poker Pro similarly reduces settlement errors by applying foul-hand detection to its three-row legality during scoring.
OFCP hand entry UI aligned to three-row breakdown
PokerBROS uses an OFCP-specific three-row layout entry that mirrors the thirteen-card arrangement and makes royalty and scoop computation predictable. FlopTurnRiver OFC uses a fixed three-row thirteen-card deal workflow so per-player outcome reporting appears immediately on completion.
Choose based on scoring mapping certainty, legality coverage, and automation surface
Selection should start with how reliably each tool ties the thirteen-card arrangement input to the three-row outputs used for settlement. The next step is how the tool handles foul-hand detection during scoring so invalid layouts do not produce misleading royalty or scoop results.
Verify that the scoring pipeline binds input arrangement to three-row settlement
Prefer PPPoker if the requirement is end-to-end scoring that ties the thirteen-card selection to three-row royalty and scoop outputs with exportable hand logs across frequent tables. Choose PokerBROS when the workflow centers on OFCP three-row layout entry that mirrors the stored arrangements used for royalty and scoop.
Pick foul-hand detection depth that matches the rules variants being played
Choose Phenom Poker when settlement needs foul-hand detection tied to the exact thirteen-card arrangement submitted for each session. Choose Open Face Chinese Poker Pro when the priority is reducing incorrect front-middle-back legality during scoring, even if royalty variants like progressive royalties require careful rules alignment.
Decide between tournament table operations and hand-history driven review pipelines
Choose PokerStars when tournament table operations and later hand-history driven review are the dominant workflow, since it emphasizes real-time multiplayer tables and hand history export. Choose PPPoker or Phenom Poker when the dominant need is consistent settlement scoring plus export logs for multi-table throughput outside of tournament-centric orchestration.
Match automation needs to the available integration and event sequencing
Choose Phenom Poker when API-driven setups are needed and the team can enforce correct table lifecycle and event ordering discipline. Avoid leaning on tools with limited automation access such as PPPoker when the requirement is deep external integration without a dedicated integration path.
Use AI guidance only when the workflow is practice-first or input validation-first
Choose OFC Poker AI when AI-assisted OFC placement evaluation is part of the workflow so legality and outcome impact appear while arranging. Choose CrownAI OFC when the priority is automatic three-row hand breakdown with foul-hand detection at input time and reliable hand history export for review.
Who should buy which tool for Chinese poker scoring and settlement
Different operators need different points of control over scoring mapping, foul-hand handling, and exported evidence. The best fit depends on whether the goal is tournament operations, practice decisioning, or multi-table settlement logs.
Operators running frequent OFCP tables with repeatable settlement
PPPoker fits frequent-table needs by producing consistent three-row royalty and scoop calculations derived from the thirteen-card arrangement and supporting exportable hand logs across frequent tables.
Tournament teams that rely on hand-history driven review and concurrency
PokerStars fits when real-time tournament table operations and consistent hand history capture matter more than programmable Chinese poker rules automation integration.
Event staff that must prevent invalid three-row inputs during settlement
CrownAI OFC and Open Face Chinese Poker Pro both tie foul-hand detection to the arranged thirteen-card state to catch invalid three-row configurations and reduce settlement errors.
Teams building integration pipelines that need consistent settlement events
Phenom Poker supports session-level settlement output and hand history export while tying foul-hand detection to the submitted thirteen-card arrangement, which helps with reconciliation when API event sequencing is handled correctly.
Players or small groups focused on legality feedback during arrangement practice
Advanced Poker Training and OFC Poker AI emphasize rule-aware guidance tied to foul-hand detection and legality checks, which supports structured thirteen-card review or AI-assisted placement feedback.
Common buying and deployment pitfalls in Chinese poker software
Selection errors usually come from assuming any three-row scoring UI automatically covers foul-hand detection and settlement legality for the rules variants being played. Deployment errors usually come from treating exported logs as interchangeable when the tool ties outputs to different input states.
Assuming foul-hand detection is always consistent with the exact thirteen-card submission
Validate foul-hand detection behavior using Phenom Poker session settlement output and Open Face Chinese Poker Pro three-row legality during scoring, because both explicitly tie foul-hand detection to the submitted arrangement.
Choosing a tool with limited integration access for external game orchestration
Avoid relying on PPPoker when the requirement is broad automation access without a dedicated integration path and avoid relying on PokerBROS when API and automation surface must support external tournament systems.
Treating hand-history exports as sufficient evidence without confirming how outcomes were computed
Confirm that royalty and scoop calculations map from the stored three-row layout by testing PPPoker and PokerBROS exports, since both compute those outputs directly from final hand layouts.
Underestimating configuration discipline for rule variants and event ordering
Plan for careful rules alignment when royalty variants like progressive royalties are used in Open Face Chinese Poker Pro, and plan for correct client-side event mapping and table lifecycle ordering in Phenom Poker API-driven setups.
How We Selected and Ranked These Tools
We evaluated PPPoker, Phenom Poker, Open Face Chinese Poker Pro, and the other listed tools on features first because the thirteen-card arrangement must map to consistent three-row settlement and royalty and scoop outputs. Features accounted for 40% of the score, ease and value each accounted for 30% based on how quickly teams can operate the row entry and obtain exportable hand history for review.
PPPoker placed highest because its end-to-end scoring ties十三-card selection to three-row royalty and scoop outputs and because its exportable hand logs fit frequent-table workflows. Phenom Poker and Open Face Chinese Poker Pro ranked next when foul-hand detection behavior remained aligned with the submitted thirteen-card arrangement at session settlement time while still producing review-ready hand history exports.
Frequently Asked Questions About chinese poker software
How does Open Face Chinese Poker scoring differ across PPPoker and Phenom Poker for thirteen-card input?
Which tool is better for tournament operations that rely on consistent hand history export and table flow?
What breaks if foul-hand detection is missing when recording three-row legality in Open Face Chinese Poker?
When is a pure scoring tool enough versus when full table-management support is required?
How does API-based integration change integration depth between Phenom Poker and PokerStars?
Which option best matches a training-first workflow that needs rule-aware feedback across three-row rankings?
What tradeoff appears when choosing embedding-oriented scoring like PokerBROS instead of public API-centric event surfaces?
How do tools handle multi-player table engine requirements for real-time play?
Which option is most suitable for AI-assisted placement guidance during arrangement building?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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