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Live Match Intelligence Simulator

“Compare the current live match situation against 42,000+ historical ball-by-ball fixtures in real-time.”

3
Live Matches
42,680
Situations Indexed
96.4%
Model Confidence
Real-Time
Feed Latency

Select Live Match

3 Active
ICC Men's T20 World Cup • Super 8LIVE
India96/3(11.4)
Australia
CRR: 8.23Wankhede Stadium
T20 International Series • 2nd T20ILIVE
England72/2(8.1)
South Africa
CRR: 8.82Eden Gardens
T20 International Tri-SeriesLIVE
Pakistan132/4(15.3)
New Zealand
CRR: 8.52Narendra Modi Stadium

Preset Game Situations

LIVE HUD
ICC Men's T20 World Cup • Super 8

India vs Australia

Wankhede Stadium, Mumbai • LIVE • 1st Innings

Batting Score
96/3 (11.4 ov)
Match Center
Virat Kohli *42 (28)
4s: 4 • 6s: 1SR: 150
Suryakumar Yadav18 (11)
4s: 2 • 6s: 1SR: 163.6
Mitchell Starc1/24
Overs: 2.4Econ: 9
Recent Deliveries:
140W26110412

Live Situation Calculator

Live Dynamic Sync

Adjust current game state parameters or window length to re-calculate probabilities.

1st Innings (Setting)
Historical Matching Tolerances
Runs Tolerance:±10 runs
Overs Tolerance:±1.0 ov
Wickets Tolerance:±1 wkt
Tolerance Scope: Runs ±10 • Overs ±1.0 • Wickets ±1

Situation Analysis

Next 2 Overs • 126 Matches

What occurred during the selected next-over window in comparable historical records.

Dynamic Ball-by-Ball Probability Engine
Matching Situations
126
Within scope
Average Runs Added
17.4
8.7 RPO in window
Median Runs Added
17
Range: 9 to 26
Average Wickets Lost
0.62
Hazard: Low
No-Wicket Instances
68
54% of scenarios
Last Calculated
11:48 AM
IST (Live Feed)
India Win: 58%+8% Shift if 16+ Runs AddedAustralia Win: 42%

Runs Added — Probability by Range (Next 2 Overs)

126 Situations
0 – 10 Runs (Containment)12% (15)
11 – 15 Runs24% (30)
16 – 20 Runs (Most Probable)38% (48)
21 – 25 Runs (Accelerated)18% (23)
26+ Runs (Explosive Launch)8% (10)

16 – 20 runs occurred in 48 of 126 matching situations.

Wickets Lost — Probability (Next 2 Overs)

126 Matches
0 Wickets
54%
68 matches
1 Wicket
34%
43 matches
2 Wickets
10%
13 matches
3+ Wickets
2%
2 matches

Wickets lost within the selected next 2 overs.

Session-wise Probability

Review historical outcomes for each upcoming over separately. Values show probability with sample size in brackets.

Over0 – 6 Runs7 – 9 Runs10+ RunsWicket (Any)
12th Over22% (28)44% (56)34% (42)29% (37)
13th Over19% (24)41% (52)40% (50)33% (41)

Runs Added by Over

Distribution of runs added in each of the next 2 overs.

Median Runs Added
Max Scenario Runs
0 runs12 runs24 runs37 runs12th Over13th Over

Wicket Frequency by Over

Distribution of wickets lost in each of the next 2 overs.

No Wicket 1 Wicket 2+ Wickets
No Wicket
1 Wicket
2+ Wickets
0%29%59%89%12th Over13th Over

Comparable Historical Situations

Scatter Matrix

Runs added vs wickets lost clustered by 126 historical matches with identical context.

Par Zone (15–20 R) High Launch (25+ R) Collapse (2+ Wkts)Centroid: 17.4 runs / 0.62 wkts
50403020100Runs Added in Next 2 Overs406080100120140180Current Runs at 11 – 12 OversMI vs CSK: 50 runs → +19 runs, 0 wktsIND vs AUS: 58 runs → +22 runs, 0 wktsENG vs RSA: 62 runs → +18 runs, 0 wktsIND vs PAK: 67 runs → +25 runs, 0 wktsNZ vs PAK: 72 runs → +21 runs, 0 wktsAUS vs ENG: 76 runs → +26 runs, 0 wktsMI vs KKR: 80 runs → +20 runs, 0 wktsRCB vs CSK: 84 runs → +28 runs, 0 wktsIND vs WI: 88 runs → +22 runs, 0 wktsRSA vs IND: 91 runs → +27 runs, 0 wktsCSK vs GT: 94 runs → +24 runs, 0 wktsIND vs AUS: 98 runs → +29 runs, 0 wktsDC vs MI: 102 runs → +23 runs, 0 wktsENG vs NZ: 106 runs → +31 runs, 0 wktsPAK vs AFG: 110 runs → +26 runs, 0 wktsIND vs SL: 114 runs → +33 runs, 0 wktsAUS vs RSA: 118 runs → +27 runs, 0 wktsKKR vs SRH: 122 runs → +34 runs, 0 wktsIND vs ENG: 126 runs → +28 runs, 0 wktsMI vs RR: 130 runs → +35 runs, 0 wktsRCB vs LSG: 135 runs → +30 runs, 0 wktsIND vs BAN: 140 runs → +37 runs, 0 wktsENG vs AUS: 145 runs → +31 runs, 0 wktsCSK vs PBKS: 150 runs → +39 runs, 0 wktsRSA vs WI: 156 runs → +33 runs, 0 wktsIND vs NZ: 162 runs → +41 runs, 0 wktsAUS vs PAK: 168 runs → +36 runs, 0 wktsKKR vs DC: 174 runs → +43 runs, 0 wktsIND vs SA: 82 runs → +24 runs, 0 wktsMI vs PBKS: 95 runs → +23 runs, 0 wktsSRH vs RR: 100 runs → +25 runs, 0 wktsAUS vs IND: 105 runs → +28 runs, 0 wktsENG vs PAK: 112 runs → +29 runs, 0 wktsGT vs CSK: 120 runs → +31 runs, 0 wktsNZ vs AUS: 128 runs → +32 runs, 0 wktsWI vs IND: 138 runs → +33 runs, 0 wktsRSA vs ENG: 148 runs → +35 runs, 0 wktsIND vs AFG: 165 runs → +38 runs, 0 wktsPAK vs NZ: 48 runs → +14 runs, 1 wktsAUS vs SL: 54 runs → +16 runs, 1 wktsIND vs SA: 60 runs → +13 runs, 1 wktsENG vs WI: 66 runs → +18 runs, 1 wktsCSK vs MI: 70 runs → +15 runs, 1 wktsRR vs RCB: 75 runs → +19 runs, 1 wktsIND vs AUS: 79 runs → +16 runs, 1 wktsNZ vs ENG: 83 runs → +20 runs, 1 wktsRSA vs PAK: 87 runs → +15 runs, 1 wktsGT vs DC: 90 runs → +21 runs, 1 wktsPBKS vs KKR: 93 runs → +17 runs, 1 wktsIND vs PAK: 96 runs → +22 runs, 1 wktsAUS vs WI: 99 runs → +18 runs, 1 wktsENG vs RSA: 103 runs → +22 runs, 1 wktsSRH vs CSK: 107 runs → +17 runs, 1 wktsMI vs LSG: 111 runs → +23 runs, 1 wktsIND vs NZ: 115 runs → +19 runs, 1 wktsPAK vs AUS: 119 runs → +24 runs, 1 wktsRCB vs GT: 123 runs → +18 runs, 1 wktsWI vs ENG: 127 runs → +25 runs, 1 wktsSA vs IND: 131 runs → +20 runs, 1 wktsDC vs RR: 136 runs → +26 runs, 1 wktsKKR vs CSK: 141 runs → +22 runs, 1 wktsNZ vs RSA: 146 runs → +27 runs, 1 wktsENG vs IND: 152 runs → +24 runs, 1 wktsAUS vs BAN: 158 runs → +28 runs, 1 wktsMI vs GT: 164 runs → +25 runs, 1 wktsIND vs WI: 170 runs → +29 runs, 1 wktsCSK vs RR: 73 runs → +17 runs, 1 wktsPAK vs SL: 86 runs → +19 runs, 1 wktsIND vs AUS: 92 runs → +18 runs, 1 wktsRSA vs NZ: 104 runs → +20 runs, 1 wktsENG vs WI: 116 runs → +21 runs, 1 wktsRCB vs MI: 125 runs → +23 runs, 1 wktsSRH vs DC: 134 runs → +24 runs, 1 wktsAUS vs IND: 144 runs → +25 runs, 1 wktsWI vs AUS: 45 runs → +8 runs, 2 wktsSL vs IND: 52 runs → +10 runs, 2 wktsPAK vs ENG: 59 runs → +7 runs, 2 wktsNZ vs RSA: 65 runs → +11 runs, 2 wktsKKR vs RCB: 71 runs → +8 runs, 2 wktsCSK vs DC: 78 runs → +12 runs, 2 wktsMI vs PBKS: 85 runs → +9 runs, 2 wktsIND vs PAK: 89 runs → +13 runs, 2 wktsAUS vs ENG: 93 runs → +8 runs, 2 wktsRSA vs IND: 97 runs → +14 runs, 2 wktsRR vs SRH: 101 runs → +10 runs, 2 wktsGT vs LSG: 108 runs → +13 runs, 2 wktsIND vs AUS: 113 runs → +9 runs, 2 wktsENG vs NZ: 117 runs → +15 runs, 2 wktsPAK vs WI: 121 runs → +11 runs, 2 wktsMI vs CSK: 128 runs → +14 runs, 2 wktsRCB vs KKR: 133 runs → +10 runs, 2 wktsIND vs SA: 139 runs → +16 runs, 2 wktsAUS vs PAK: 147 runs → +12 runs, 2 wktsSRH vs GT: 155 runs → +15 runs, 2 wktsDC vs PBKS: 161 runs → +13 runs, 2 wktsENG vs IND: 169 runs → +16 runs, 2 wktsWI vs RSA: 81 runs → +10 runs, 2 wktsIND vs SL: 95 runs → +11 runs, 2 wktsAUS vs NZ: 106 runs → +12 runs, 2 wktsCSK vs RCB: 124 runs → +13 runs, 2 wktsMI vs SRH: 142 runs → +14 runs, 2 wktsIND vs AUS: 166 runs → +15 runs, 2 wktsPAK vs IND: 74 runs → +6 runs, 2 wktsENG vs AUS: 115 runs → +7 runs, 2 wktsRSA vs IND: 150 runs → +8 runs, 2 wkts96/3 at 11.4

CContext Comparisons

Same selected next 2-over window.

Wankhede
18.1
Avg Runs Added
Wkt Rate: 29%
India
17.8
Avg Runs Added
Wkt Rate: 29%
Australia
16.9
Avg Runs Added
Wkt Rate: 34%
Night Matches
18.4
Avg Runs Added
Wkt Rate: 32%
TBy Match Timing
Match TimingAvg RunsWkt Occurrence
Day16.228%
Day/Night17.931%
Night18.432%
IBy Innings
InningsAvg RunsWkt Occurrence
First Innings18.131%
Second Innings14.635%

Current Phase: Middle Overs (7 – 15)

Overs 7 – 15

Historical performance for this match phase and comparison with other phases.

Phase Comparison (Avg Runs per Over)
Avg Runs per Over
8.7
Boundary Balls
16%
Dot Balls
31%
Wicket every
18.4
balls
0 RPO4 RPO8 RPO12 RPOPowerplay (1 – 6)Middle Overs (7 – 15)Death Overs (16 – 20)

Closest Historical Matches in Database

Sorted by Situation Similarity %

Matches with nearest ball-by-ball score, over, and wicket trajectory.

#DateTournamentTeamsVenueMatch TimingSituationNext 2 Overs RunsWickets LostMatch ResultSituation DifferenceDetails
112 Apr 2026IPLMumbai vs ChennaiWankhedeNight94/3 at 11.2+181MI won2.1
228 Mar 2026T20IIndia vs AustraliaWankhedeNight92/3 at 11.5+160IND won2.8
316 Mar 2026IPLMumbai vs RajasthanWankhedeNight98/4 at 11.1+201MI won3
406 Apr 2025IPLMumbai vs DelhiWankhedeNight100/3 at 11.4+171MI won3.2
522 Feb 2025T20IIndia vs South AfricaWankhedeNight95/2 at 11.3+190IND won3.5
618 May 2024IPLMumbai vs HyderabadWankhedeNight97/3 at 11.6+151MI won3.6
710 Apr 2024IPLMumbai vs PunjabWankhedeNight93/3 at 11.4+182MI lost3.8
827 Mar 2024T20IIndia vs EnglandWankhedeNight101/3 at 11.5+211IND won4.1
914 May 2023IPLMumbai vs ChennaiWankhedeNight90/3 at 11.2+141MI won4.3
1002 Apr 2023IPLMumbai vs GujaratWankhedeNight96/2 at 11.6+170MI won4.6
W
Breakdown by Current Wickets

Same selected next 2-over window.

Current WicketsAvg Runs AddedWicket Occurrence
2 wickets18.624%
3 wickets17.431%
4 wickets15.234%
R
Breakdown by Current Run Band

Same selected next 2-over window.

Current Run BandAvg Runs AddedWicket Occurrence
80 – 9016.128%
91 – 10017.831%
101 – 11019.034%
V
Breakdown by Venue Type

Same selected next 2-over window.

Venue TypeAvg Runs AddedWicket Occurrence
Batting-friendly19.628%
Balanced17.232%
Bowler-friendly14.937%
R
Recent Calculations
IND 96/3 at 11.4 (Next 2 Overs)
24 Oct 2026, 11:48 AM
India 72/2 at 8.1 (Next 2 Overs)
24 Oct 2026, 10:22 AM
MI 148/6 at 17.2 (Next 3 Overs)
24 Oct 2026, 09:15 AM
S
Saved Situations
IND 96/3 at 11.4 vs AUS
Next 2 Overs • 24 Oct 2026, 11:48 AM
AUS 82/2 at 9.3 vs IND
Next 2 Overs • 23 Oct 2026, 08:12 PM
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How the calculator works
  1. 1Matches current innings, over, runs, wickets and selected conditions.
  2. 2Finds comparable ball-by-ball records from 42,000+ indexed matches.
  3. 3Measures what happened during the selected future window in these records.
  4. 4Converts occurrence counts into calibrated probabilistic horizons.

• Rain shortened and incomplete matches excluded.

• Minimum sample of 25 situations required for high confidence.

• Uses admin-verified ball-by-ball data.