Live Cricket Intelligence Cockpit Invite-only rollout · dashboard + app
THE
CRICKET
COCKPIT

Live probability, why-it-moved intelligence, Replay Lab, pre-match planning, model audit, and mobile delivery in one system. Built for teams that need more than a score widget.

10K+
Matches indexed
240+
Feature story
14
Prediction APIs
9
Mobile tabs
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
Every
Ball archived across formats
2.15M+
T20 deliveries deeply modeled
185
Live model features today
14
Prediction endpoints
Replay
Audit + learning loop
<150ms
Live decision latency
1K
Monte Carlo paths
Ball-by-ball Win Probability
Replay Lab
Why It Moved
Pre-Match Cockpit
Analyst Copilot
Similar Situations
Data Quality Assistant
Learning Lab governance
Mobile subscriptions
9-tab mobile app
Fantasy projections
Historical matches + replay
All-format archive
14 prediction endpoints
Ball-by-ball Win Probability
Monte Carlo 1K Paths
SHAP Explainability
Player Form Windows (3/5/10/20)
Why Krikbiz
A cricket intelligence product,
not a single chart

Crickviz is premium and closed. ESPNcricinfo is elite editorial data. Cricbuzz owns score distribution. Krikbiz sits between them as a live intelligence stack for teams who need probability, explanation, replay, mobile delivery, and APIs.

150ms or Nothing
Live decision surfaces only work if they keep up with the ball. Krikbiz is designed to push updated probability and match state fast enough for production overlays, ops desks, and mobile second screens.
<150ms p99 guaranteed
Replay, Audit, Learn
Replay Lab re-runs matches ball by ball, captures predicted vs actual outcomes, and opens a path to error intelligence and governed improvement instead of blind tweaking.
±0.5% simulation variance
Every Prediction Explains Itself
SHAP, similar situations, confidence, and Why It Moved convert a raw probability into an analyst-grade story. The product promise is not perfect guessing. It is trust, explanation, and reviewability.
Per-ball attribution
Dashboard + Mobile In Sync
Krickscore runs the command center for analysts, operators, and product teams. The mobile app turns the same intelligence into a subscribed, match-specific experience for fans and clients.
50+ player features
Trust Layer Built In
Calibration, health checks, data quality reviews, and Learning Lab governance matter as much as probability. Krikbiz is built to show when the model is strong, weak, or uncertain.
Brier <0.18 · AUC 0.79
API-First. Ops-Ready.
REST + WebSocket delivery, dashboard tooling, replay workflows, pre-match context, and mobile subscriptions make Krikbiz easier to operationalize than stitched-together point products.
Free tier · 5K calls/month
vs Competition
Where Krikbiz fits
Capability Krikbiz Crickviz ESPNcricinfo Cricbuzz Typical vendors
Ball-by-ball win probability ✓ Enterprise only ✕ ✕ Rare / lagged
Player-aware predictions ✓ Partial ✕ ✕ ✕
Monte Carlo simulation ✓ ✕ ✕ ✕ ✕
SHAP explainability ✓ ✕ ✕ ✕ ✕
What-if scenario tree ✓ ✕ ✕ ✕ ✕
Public REST + WebSocket API ✓ ✕ Content APIs Content-led Varies
All formats (T20/ODI/Test) ✓ Analytics-led ✓ ✓ Varies
Replay Lab + error audit ✓ ✕ ✕ ✕ Rare
Pre-match cockpit + AI notes ✓ ✕ ✕ ✕ Rare
Free tier / open access ✓ ✕ Basic editorial stats Scores only ✕
Auto-retraining pipeline ✓ Unknown ✕ ✕ ✕
Starting price Free $500K+/season Traffic/content-led Traffic/content-led Market rates
Product Suite
One system.
Four customer-facing surfaces.

Customers do not buy a single metric. They buy live decision support, trust, reviewability, and mobile distribution.

Dashboard
Krickscore command center
Live Prediction Board, Model Audit, Replay Lab, Learning Lab, Historical Matches, Data Quality, and user/subscription controls for teams.
Mobile
Subscribed match intelligence
A focused mobile app with match subscriptions, live score + probability, scenario cards, explainability, player context, fantasy, and study tabs.
Replay Lab
Audit every ball later
Upload or replay matches, compare predicted vs actual outcomes, and turn model misses into reviewable evidence instead of hand-wavy excuses.
Pre-match
Cockpit before ball one
Toss impact, pitch notes, danger matchups, projected score bands, likely performers, and AI-assisted note parsing before the game starts.
How It Works
Ball to probability
in <150ms

The goal is not to guess one ball perfectly. The goal is to explain probability, show trust, and let teams review what happened later.

1
Match state updates
Live scoring or replay data lands, and the current match state is normalized.
2
Context engine
Match state, player form, venue, pitch, pressure, head-to-head, and feature-family signals are assembled.
3
14 prediction APIs
Win probability, next-ball, innings score, phase score, next over, wicket score, fantasy, milestones, and more are queried.
4
Trust + explanation
SHAP, similar situations, calibration, confidence, and Why It Moved convert raw output into an analyst-readable decision.
5
Replay + governance
Everything can be replayed, audited, and fed into controlled learning and data quality review.
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
Competitor Market 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, and data journalists are strong on content, but not on live operational intelligence. Krikbiz powers live editorial insight, replay-backed reports, and richer model-led match explainers.
$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
Data Moat
Every-ball archive.
Deep T20 intelligence.

We store every-ball match data across formats and go deepest in T20, where live decisioning, fantasy, trading, and fan attention all compress into the fastest possible window.

Archive
Every ball, all formats
Historical match archives cover T20, ODI, and Test formats so replay, search, and narrative evidence are grounded in real ball sequences.
T20 depth
2.15M+ modeled deliveries
T20 is where the product is deepest today: dense delivery history, live model features, pressure/momentum context, and replay-ready analytics around the fastest format.
Trust
Governed improvement loop
Data Quality Assistant, health layers, calibration tracking, and Learning Lab create a path from model miss to measured improvement.
Invite-Only Access
Tell us your workflow.
We'll map the right entry.

Share who you are, what you want to build, and what question you need answered. We review each request manually for dashboard access, mobile pilots, and product walkthroughs.

Invite-first onboarding We qualify broadcasters, fantasy products, media teams, and analysts before opening seats.
Phone login for app users On mobile we point login to `app.krickbiz.digital`; on laptop and desktop we point login to `dashboard.krickbiz.digital`.
Questions welcome Use the form for pricing, pilots, data partnerships, dashboards, mobile access, or custom deployment questions.
Request an invite
Invite-only waitlist, sales contact, and product questions all land in one review queue.

We usually reply with the next step, invite, or follow-up questions after review.

Live, mobile, replay, and pre-match.
One product story.

Crickviz is not built for open, modern product teams. ESPNcricinfo and Cricbuzz are not built to be your live intelligence stack. Krikbiz is.

$200M+
SOM · Live Intelligence
$280K
Target ARR · Month 36
200+
Customers projected
Analytical Platform
The Dashboard.
Run the whole product.

Krickscore is the operating surface for live scoring, prediction review, Replay Lab, model audit, pre-match setup, mobile subscriptions, data quality, and learning workflows.

dashboard.krickbiz.digital
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.
Live Board
Command Center
The dashboard now centers live prediction cards, recent activity, surprise watchlists, calibration, and model health instead of a single isolated chart.
Replay
Historical + scored match review
Historical Matches and Replay Lab let teams jump from an old match straight into a replay or audit workflow to inspect predicted vs actual sequences.
Operations
Users, mobile access, and QA
User management, mobile subscriptions, pending data, and quality layers make Krikscore usable by real teams, not just model reviewers.
Mobile App
Live match
intelligence
in your pocket

The mobile app is a subscribed-match product for fans, analysts, media teams, and clients who want live score, prediction, explainability, player context, fantasy, and study surfaces without opening the full dashboard.

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.
Home screen
Subscribed matches only
The mobile app is intentionally filtered through subscriptions so each user sees the matches that matter to them instead of a noisy global feed.
Study tabs
Live + People + Study
Score, Predict, Why, Players, Fantasy, Analysis, Stats, Tournament, and Odds are organized as a mobile reading flow, not just a shrunken desktop view.
Trust
Explainability on the phone
Probability alone is not enough, so the app carries SHAP, scenario bars, matchup context, and movement signals into the handheld experience.
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.

Click any feature family, chip, or 240+ proof block for a short popup brief.

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.

Crickviz can price out fast-moving teams. Krikbiz offers structured entry points, but access is invite-first so we can onboard the right customers for dashboard, mobile, and custom workflows.

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
Start free.
Scale when ready.

Ask for dashboard access, mobile pilots, pricing, or product guidance. We review each request and route it to the right onboarding path.