Cricket Intelligence Engine v2.0 · Active Build
THE
UNFAIR
EDGE

Win probability on every delivery — player-aware, Monte Carlo–backed, SHAP-explained. Updated in under 150ms. Before the commentator has an opinion.

80K+
Matches trained
240+
Features
<150ms
Per-ball
1K
MC Paths
LIVE
IND vs AUS · T20I · Over 17.3 Ball #103
63.1%
India Win Probability
↑ +6.2% from prev. ball
2.34:1
Implied Odds
28
Runs Reqd
18
Balls Left
Wicket41%
Dot52%
158%
469%
675%
⚡ SHAP Explainability — Why This Number
Wickets in hand
+0.142
Batter pressure δ
+0.082
H2H vs bowler
+0.063
Dot ball streak
−0.055
IND 63.1% ↑ +6.2 Kohli SR 152 Cummins Eco 8.2 RRR 9.33 Pressure idx +3.4 PAK 58.4% vs NZ Brier 0.163 AUC 0.793 IND 63.1% ↑ +6.2 Kohli SR 152 Cummins Eco 8.2 RRR 9.33
80K+
Matches trained
240+
Features engineered
<150ms
Per-ball latency
1K
MC paths/ball
±3%
Calibration error
$200M+
Target market
$500K
Competitor price vs Free
Ball-by-ball Win Probability
Monte Carlo 1K Paths
SHAP Explainability
Player Form Windows (3/5/10/20)
H2H Matchup Tables
What-If Scenario Trees
Venue Intelligence
Pressure Index Tracking
Micro-Momentum Features
Live WebSocket Feed
Fantasy Edge API
Auto-Retraining Monthly
All Formats: T20 · ODI · Test
LLM Pitch Tagger
Ball-by-ball Win Probability
Monte Carlo 1K Paths
SHAP Explainability
Player Form Windows (3/5/10/20)
Why Krikbiz
Numbers nowhere
else in the market

CricViz costs $500K/season with no API. Cricbuzz shows scores. Krikbiz combines everything — probability, explanation, simulation — at a price any developer can afford.

⚡
150ms or Nothing
Probability updated under 150ms per-ball p99. Not "near real-time". Not "after overs". Every single delivery, all three formats. Broadcaster-grade without the broadcaster invoice.
<150ms p99 guaranteed
🎲
1,000 Futures Simulated
Not a formula. Not a lookup table. 1,000 full match paths via NumPy Monte Carlo — vectorised, no loops. Win probability is a count, not a guess. Confidence intervals shipped with every response.
±0.5% simulation variance
🔍
Every Prediction Explains Itself
SHAP attribution on every ball. "Wicket of top-order batter with +0.31 pressure advantage: −18%." Enterprise buyers, regulators, and data journalists require this. Krikbiz ships it on day one.
Per-ball attribution
👤
Player-Aware at Every Position
Kohli vs a No. 8 isn't the same prediction. The model knows form over 3/5/10/20 innings, head-to-head vs this exact bowler, pressure history at this venue, dot streak in the last 6 balls. 50+ player features.
50+ player features
📊
Calibrated. Actually Honest.
When Krikbiz says 70%, teams win ~70% historically. Brier Score <0.18 (random baseline: 0.25). Monthly auto-retraining with rollback. Calibration plot always public. A number you stake decisions on.
Brier <0.18 · AUC 0.79
🌐
API-First. Open. Affordable.
CricViz: closed platform, no API, $500K minimum. Krikbiz: full REST + WebSocket API, free tier at 5,000 calls/month, $299/mo Professional. One integration away from going live on your platform.
Free tier · 5K calls/month
vs Competition
We built what they won't
Capability Krikbiz CricViz ESPNcricinfo Cricbuzz Betting Mkt
Ball-by-ball win probability✓Enterprise only✕✕Lagged 30–120s
Player-aware predictions✓Partial✕✕✕
Monte Carlo simulation✓✕✕✕✕
SHAP explainability✓✕✕✕✕
What-if scenario tree✓✕✕✕✕
Public REST + WebSocket API✓✕Stats only✕✕
All formats (T20/ODI/Test)✓T20 mainly✓✓Varies
Free tier / open access✓✕Basic statsScores only✕
Auto-retraining pipeline✓Unknown✕✕✕
Starting price Free $500K/season $199/mo $49/mo Market rates
How It Works
Ball to probability
in <150ms

A chess computer for cricket — 1,000 match futures simulated before the next delivery is bowled

1
Ball Bowled
Live feed captures every delivery in real time
2
240+ Features
Match state, player form, venue, pressure, H2H matchup — all computed
3
3 AI Models
Win probability, ball outcome, player model — all in 10ms
4
1,000 Futures
NumPy Monte Carlo — vectorised matrix ops, no Python loops, <80ms
5
Delivered
Win % + SHAP + scenario tree pushed via WebSocket in <150ms
Five Segments
Built for everyone
who needs this and can't get it
📡
Sports Broadcasters
Sky Sports, Star Sports, Sony LIV — they need on-screen win probability graphics that update in real time. Current solutions cost $500K+ per season or simply don't exist.
$120K
/yr potential
$5K–15K/mo
🏏
Fantasy Platforms
Dream11, MPL — 150M+ users make lineup decisions daily. Player-level probability given venue, opponent, and form is exactly the edge their premium subscribers pay for.
$85K
/yr potential
$2K–8K/mo
📊
Betting & Trading
Betfair, Smarkets, licensed operators — market odds lag 30–120 seconds. A <150ms feed with ±2% calibration is a direct, measurable trading edge worth paying for every month.
$200K
/yr potential
$5K–20K/mo
📰
Analytics Firms
ESPNcricinfo, Cricbuzz, data journalists — their analysis is backward-looking and expensive to produce. Krikbiz powers live data journalism and auto-generated match intelligence reports.
$65K
/yr potential
Data licensing
🎯
Coaching & Academies
IPL franchises, BCCI, ECB, elite academies — post-match pressure analysis shows which batters underperformed expected win contribution. Automated, actionable, instant.
$45K
/yr potential
Post-match reports
💡
Developer Ecosystem
Free tier: 5,000 calls/month. Build dashboards, bots, embeds, apps. Convert to paid through usage growth. Listed on RapidAPI for inbound developer discovery at scale.
$280K
ARR at month 36
Platform model
The market is open.
Be first in.

CricViz won't API you. Cricbuzz can't predict. Krikbiz does both — starting free.

$200M+
SOM · Live Intelligence
$280K
Target ARR · Month 36
200+
Customers projected
Analytical Platform
The Dashboard.
Analyze anything.

Simulate any live or upcoming match. Any player, any format, any venue. Run what-if trees. No cricket data science degree required.

app.krikbiz.io/dashboard
LIVE
Live
● IND vs AUS
● PAK vs NZ
● ENG vs SA
Analytics
▲ Win Probability
⊕ Scenario Tree
◈ Player Profiles
∿ Simulation
⊙ Match Replay
Formats
T20 · ODI · Test
63.1%
Win Prob
↑ +6.2%
2.34
Implied Odds
9.33
Req. Run Rate
↑ rising
0.082
Pressure Idx
Win Probability Trace — IND 2nd Innings
Next Ball Scenarios
Wicket
41%
Dot
52%
Single
58%
Four
69%
Six
75%
SHAP Drivers
Wickets in hand
+0.142
Batter pressure δ
+0.082
H2H vs bowler
+0.063
Dot ball streak
−0.055
Venue chase win%
+0.038
Player Intelligence
V. Kohli (On Strike)63.2% · SR 152 · Pressure +0.31
S. Iyer (Non-striker)51.8% · SR 128 · Pressure −0.12
P. Cummins (Bowling)Eco 8.2 · Death spec · 3 wkts last 5
🔮
Simulate Any Match
Input any lineup, any venue, any target. Run 10,000 simulations and get probability distributions, confidence intervals, and tail-risk analysis before a ball is bowled.
📈
Any Format Analysis
T20, ODI, and Test models — all separate. Switch formats in one click. Death-over T20 dynamics vs ODI powerplay vs Test day 5 conditions. Never mixed up.
🔄
Historical Replay
Any of 80,000+ Cricsheet T20 matches — replay ball by ball. Click any delivery to inspect the full 240+ feature vector and SHAP explanation. Study iconic matches frame by frame.
Mobile App
Live match
intelligence
in your pocket

The app is for fans and analysts who want live insight on every ball — probability, scenario trees, player radar. No laptop required.

⚡
Live ball-by-ball trace
Animated probability chart with phase shading — powerplay, middle overs, death
🎯
What-if before every ball
Tap to see win % for wicket/dot/single/four/six — before the bowler runs in
👤
Player radar + H2H
Normalized profiles showing form, pressure delta, venue history, H2H vs current bowler
🔔
Momentum alerts
Push notification when probability shifts >8% on a single ball. Never miss the turning point.
9:41
LIVE
IND vs AUS · Over 17.3
63.1%
India Win Probability
Needed28
Balls18
Wicket →41%
Six →75%
Top SHAP driver
Wickets in hand → +0.142
9:41
LIVE
Kohli on strike · Cummins bowling
NEXT BALL SCENARIOS
Wicket
41%
Dot
52%
Single
58%
Four
69%
Six
75%
SHAP Explainability
Wickets in hand +0.142
Batter pressure δ +0.082
Dot streak −0.055
India favoured · Kohli +0.31 pressure avg
Player Intelligence
V. Kohli
Right-hand bat · Opener
SR 139.2
Avg 52.1
Pres +0.31
P. Cummins
Right-arm fast · Bowling
Eco 8.2
H2H 3 wkts
Death ✓
H2H: Kohli vs Cummins
48 balls SR 118.7 3 dismissed
Fantasy Edge
Kohli ranked #1 pick today — form × venue × matchup score: 91/100
🔴
Live Score + Prob
Real-time scorecard with probability overlay. Every ball updates instantly. All matches globally.
🔔
Momentum Alerts
Push notification on >8% probability swings on a single ball. Never miss a turning point.
🎮
Fantasy Edge
Pre-match player probability rankings. Which batter scores today given this attack and this venue?
📊
All 3 Formats
T20, ODI, Test — separate models, same UI. Switch in one tap. Separate dynamics, never mixed.
Feature Engineering
240+ features.
Nothing missed.

Feature engineering is 80% of model quality. Every hour here returns more value than any amount of hyperparameter tuning.

📊
Match State
28 features
Runs requiredBalls remainingWickets in handRequired run rateCurrent run rateRRR − CRR deltaOver numberBall in overPhase (PP/Mid/Death)Innings numberTarget scoreFirst innings scoreRun deficit at powerplayRun deficit at 10 oversWickets lost in powerplayPowerplay run rateMiddle overs run rateDeath overs run rate so farPartnership runsPartnership ballsExtras in inningsWides this overNo-balls this overOver run rateBalls since last wicketBatting powerplay usedDLS adjustment flagRevised target (DLS)
🏏
Batter Core
22 features
Career batting average (T20)Career strike rate (T20)Career average (ODI)Career SR (ODI)Career average (Test)Batting position (1–11)Total T20 career balls facedTotal matches playedHighest score career50+ conversion rate100+ conversion rateBoundary % (4s+6s/balls)6s per 100 balls4s per 100 ballsDot ball % careerDismissal type distributionBatting hand (R/L)All-rounder batting indexICC batting rankingHome vs away average splitDay vs night average splitPost-injury form window
📈
Batter Form Windows (3/5/10/20)
32 features
Last 3 innings averageLast 3 innings SRLast 5 innings averageLast 5 innings SRLast 5 innings boundary%Last 5 innings dismissal rateLast 10 innings averageLast 10 innings SRLast 20 innings averageLast 20 innings SRForm trend (3 vs 20 avg delta)SR trend (3 vs 20 delta)Innings since last 50+Innings since last 30+Hot streak flagDays since last matchMatch load (last 30 days)Recent avg in powerplayRecent avg in middle oversRecent avg in death oversRecent 6-hit rate (last 5)Form volatility (std dev)Momentum score (rolling)Seasonal form flagIPL vs international splitForm after rest (>7 days)Form under lights (D/N)Form at altitudeForm at this venue (recent)Batting after a rest dayTournament-specific formOpposition-type form split
🎯
Batter Context + Matchup
26 features
vs spin average (career)vs pace average (career)vs spin SRvs pace SRvs left-arm pace SRvs left-arm spin SRvs right-arm off-spin SRvs right-arm leg-spin SRH2H vs current bowler: ballsH2H vs current bowler: SRH2H vs current bowler: dismissalsH2H vs current bowler: boundary%At this venue: averageAt this venue: SRIn this phase: averageIn this phase: SRUnder pressure SR (RRR>CRR)Pressure delta vs careerIn run chases: averageIn 1st innings: averagevs this nation: averageHome advantage indexPartner synergy indexBatting-up (above usual position)Batting-downWicket-keeper batter flag
🔬
Batter Micro-Momentum (In-Match)
18 features
Balls faced this inningsCurrent match strike rateDot ball streak (consecutive)Balls since last boundaryBalls since last runRuns in last 6 ballsRuns in last 12 ballsBoundaries in last 12 ballsSet batter flag (>20 balls)Batter confidence indexSR acceleration trendDot rate this matchSR this match vs career SRWicket imminent scoreRecent over contributionLast ball outcomeConsecutive scoring ballsPressure response this innings
🎳
Bowler Features
28 features
Career economy (T20)Career economy (ODI)Career bowling SRCareer average (wickets)Economy this matchWickets last 5 matchesPowerplay economy (career)Middle overs economyDeath overs economyDeath specialist flagPowerplay specialist flagBowling type (pace/spin)Bowling sub-typeH2H vs current batter: economyH2H vs current batter: wicket rateAt this venue: economyvs left-handers splitvs right-handers splitWickets this inningsEconomy this overOvers remaining (quota)Phase economy (all 3)Dot ball % careerNo-ball rateMaiden over rateICC bowling rankingVariation ball flag (LLM)Bowling change momentum
🌊
Pressure + Momentum Flow
22 features
Pressure index (RRR−CRR)Normalised pressure (0–1)Team pressure win rateBatter pressure avg deltaBatter high-pressure SRTeam momentum scoreWickets in last 10 ballsRuns in last 10 ballsMomentum shift flagRun rate accelerationPressure shift eventsPost-wicket pressure flagNew batter confidence lagOpposition momentumBowling change signalPhase transition pressurePartnership momentum indexDot ball cluster flagBoundary cluster flagMatch swing indexToss + decision impactCluster momentum score
🏟️
Venue + External Signals
24 features
Avg 1st innings scoreAvg 2nd innings scoreChase win rate (venue)Spin vs pace successBoundary size proxyPitch type tag (LLM-parsed)Dew factor flagDew probability scoreToss resultToss decisionToss win chase rateWeather condition tagTemperatureHumidity indexPlayer absence signal (LLM)Last-minute XI change flagHome crowd advantageTournament stageHigh-stakes game flagAltitude factorDay-night historical splitOutfield speed proxySurface age (Tests)Overhead conditions tag
🔗
Interaction Features (Cross-Feature Products)
20 features
Batter type × bowler typeH2H SR × phasePressure × dot streakPhase × batter formVenue pace × bowler styleRRR × batter pressure deltaWickets × pressure indexForm × set batter flagDeath specialist × death phaseH2H dismissal × pressureBoundary size × 6-hit rateToss × venue chase rateDew flag × bowling stylePhase × bowler quotaPartner SR × batter SRPitch type × bowler typeAltitude × pace flagForm × high-stakes flagMatch stage × pressure indexHome advantage × confidence
240+
Total features
9
Feature categories
20
Interaction terms
80%
Of model quality
Pricing
Professional-grade.
Not billion-dollar priced.

CricViz charges $500K/season minimum. Krikbiz starts free. Two Enterprise deals in year one covers all infrastructure costs many times over.

Solo / Personal
Free

For individual analysts, developers, cricket obsessives, researchers, and students

  • Full historical replay (80K+ matches)
  • Ball-by-ball win probability
  • What-if scenario tree
  • SHAP explanations per ball
  • 240+ features visible
  • All formats (T20/ODI/Test)
  • 5,000 API calls / month
Most Popular
Professional
$299/mo

Fantasy platforms, journalists, analytics teams, coaches, data startups

  • Everything in Solo
  • Live WebSocket feed (real-time push)
  • 100K API calls / month
  • Player radar PDF reports
  • Custom venue analytics
  • Pre-match player probability rankings
  • Email + Slack support
Enterprise
$2,500/mo

Broadcasters, betting firms, IPL franchises, national boards, trading desks

  • Everything in Professional
  • Unlimited API calls
  • White-label SDK
  • Broadcaster-grade <50ms feed
  • Dedicated model tuning
  • 99.9% SLA uptime
  • Dedicated account manager
$30K
ARR from one Enterprise deal ($2.5K × 12 months)
$280K
Projected ARR at Month 36 with 200+ customers
Two Enterprise broadcaster deals in Year 1 covers all infrastructure costs — multiple times over. Every Professional subscriber after Month 4 is pure margin.
Revenue by Segment
Betting & Trading
$200K/yr
Broadcasters
$120K/yr
Fantasy Platforms
$85K/yr
Analytics Firms
$65K/yr
Coaching & Academies
$45K/yr
ARR Growth Roadmap
Month 4 — Foundation
Product Complete
Working product, solo use only. Full feature pipeline live.
Month 10 — Beta
$5K ARR · 3 Customers
Early adopter pricing. Fantasy + analytics first movers.
Month 16 — Launch
$28K ARR · 15 Customers
Pro + Enterprise mix. Word of mouth traction.
Month 24 — Scale
$95K ARR · 60 Customers
RapidAPI live. Broadcaster pipeline open.
Month 36 — Platform
$280K ARR · 200+ Customers
White-label deals, data licensing, reseller revenue.
Start free.
Scale when ready.

No credit card. No commitment. Full historical replay and scenario analysis from day one.