KKR vs RCB Analytics Dashboard

KKR vs RCB Performance Analytics

Interactive analysis of player statistics between Kolkata Knight Riders and Royal Challengers Bengaluru

Top Run Scorer
Virat Kohli
962 runs in 31 innings
Top Wicket Taker
Sunil Narine
71 wickets in 59 innings
Highest Average
39.0
Virat Kohli (minimum 10 innings)
Key Performance Insights
The data reveals significant performance patterns: Virat Kohli dominates with the highest run aggregate of 962 runs and the best batting average of 39.0 against Kolkata. Andre Russell shows exceptional all-round ability with 956 runs at Kolkata venue and 39 wickets. Sunil Narine remains the most impactful bowler with 71 wickets at Kolkata venue, making him a critical performer on that ground.
KKR Batsmen Analysis
Head-to-Head Performance vs RCB
PlayerPerformance
SN
Sunil Narine
10
Innings
232
Runs
29.0
Average
QK
Q de Kock
11
Innings
371
Runs
34.0
Average
AR
Ajinkya Rahane
21
Innings
685
Runs
36.0
Average
VI
Venkatesh Iyer
5
Innings
111
Runs
28.0
Average
RS
Rinku Singh
3
Innings
70
Runs
35.0
Average
ARu
Andre Russell
14
Innings
396
Runs
36.0
Average
KKR Bowlers Analysis
Head-to-Head Performance vs RCB
PlayerPerformance
SN
Sunil Narine
18
Innings
23
Wickets
ARu
Andre Russell
14
Innings
13
Wickets
AN
Anrich Nortje
4
Innings
7
Wickets
VC
V Chakaravarthy
8
Innings
13
Wickets
VA
Vaibhav Arora
1
Innings
0
Wickets
RCB Batsmen Analysis
Head-to-Head Performance vs KKR
PlayerPerformance
VK
Virat Kohli
31
Innings
962
Runs
39.0
Average
DP
D Paddikal
7
Innings
151
Runs
22.0
Average
RP
Rajat Patidar
3
Innings
56
Runs
19.0
Average
LL
Liam Livingstone
3
Innings
40
Runs
13.0
Average
KP
Krunal Pandya
14
Innings
182
Runs
20.0
Average
RCB Bowlers Analysis
Head-to-Head Performance vs KKR
PlayerPerformance
BK
Bhuvneshwar
30
Innings
32
Wickets
KP
Krunal Pandya
15
Innings
8
Wickets
JH
J Hazlewood
2
Innings
4
Wickets
YD
Yash Dayal
4
Innings
5
Wickets
Kolkata Venue Analysis
At Eden Gardens (Kolkata), KKR players show strong home advantage, with Sunil Narine taking 71 wickets in 59 innings. Among batsmen, Andre Russell has the most dominant record with 956 runs in 36 innings, demonstrating his comfort at this ground. The data suggests that when playing at Kolkata, RCB should prepare specific strategies against these key KKR performers who excel at their home venue.
Top KKR Batsman
Highest run-scorer at Eden Gardens
AR
Andre Russell
All-rounder
36
Innings
956
Runs
35.0
Average
Top KKR Bowler
Highest wicket-taker at Eden Gardens
SN
Sunil Narine
All-rounder
59
Innings
71
Wickets
1.2
W/Inning
KKR Batsmen at Home
Performance at Eden Gardens, Kolkata
PlayerPerformance
SN
Sunil Narine
34
Innings
559
Runs
18.0
Average
RS
Rinku Singh
17
Innings
413
Runs
38.0
Average
AR
Andre Russell
36
Innings
956
Runs
35.0
Average
KKR Bowlers at Home
Performance at Eden Gardens, Kolkata
PlayerPerformance
SN
Sunil Narine
59
Innings
71
Wickets
AR
Andre Russell
41
Innings
39
Wickets
VC
V Chakaravarthy
15
Innings
21
Wickets
Bengaluru Venue Analysis
At M. Chinnaswamy Stadium (Bengaluru), RCB players utilize home conditions well, with Rajat Patidar’s impressive average of 164.0 highlighting the batting-friendly surface. Among visiting bowlers, Bhuvneshwar Kumar has been most effective with 13 wickets in 10 innings. When KKR visits Bengaluru, they need specialized strategies to counter RCB’s batting strength while capitalizing on the venue’s typically high-scoring nature.
Top RCB Batsman
Best average at M. Chinnaswamy Stadium (min. 2 innings)
RP
Rajat Patidar
Batsman
2
Innings
164
Runs
164.0
Average
Top RCB Bowler
Highest wicket-taker at M. Chinnaswamy Stadium
BK
Bhuvneshwar
Bowler
10
Innings
13
Wickets
1.3
W/Inning
RCB Batsmen at Home
Performance at M. Chinnaswamy Stadium, Bengaluru
PlayerPerformance
PS
Phil Salt
7
Innings
350
Runs
58.0
Average
VK
Virat Kohli
12
Innings
371
Runs
37.0
Average
RP
Rajat Patidar
2
Innings
164
Runs
164.0
Average
RCB Bowlers at Home
Performance at M. Chinnaswamy Stadium, Bengaluru
PlayerPerformance
BK
Bhuvneshwar
10
Innings
13
Wickets
KP
Krunal Pandya
6
Innings
4
Wickets
JH
J Hazlewood
1
Innings
3
Wickets
KKR vs RCB Key Matchup Analysis
The rivalry between KKR and RCB showcases fascinating player matchups: Virat Kohli (RCB) dominates against KKR with 962 runs and a 39.0 batting average. Andre Russell (KKR) excels at Eden Gardens with 956 runs, while Sunil Narine (KKR) is lethal both at home (71 wickets) and against RCB specifically (23 wickets). These performance patterns suggest each team should develop specific player-vs-player strategies for this matchup.
KKR vs RCB Batsmen Comparison
H2H Records
Highest Run Scorer
Virat Kohli (962 runs)
Best Average
Virat Kohli (39.0)
Most Innings
Virat Kohli (31 innings)
Second Highest Runs
Andre Russell (396 runs)
Venue Records
Kolkata Top Scorer
Andre Russell (956 runs)
Bengaluru Top Scorer
Virat Kohli (371 runs)
Best Average at Kolkata
Rinku Singh (38.0)
Best Average at Bengaluru
Rajat Patidar (164.0)
KKR vs RCB Bowlers Comparison
H2H Records
Highest Wicket Taker vs Kolkata
Sunil Narine (23 wickets)
Highest Wicket Taker vs Bengaluru
Bhuvneshwar (32 wickets)
Most Innings vs Kolkata
Sunil Narine (18 innings)
Most Innings vs Bengaluru
Bhuvneshwar (30 innings)
Venue Records
Kolkata Top Wicket Taker
Sunil Narine (71 wickets)
Bengaluru Top Wicket Taker
Bhuvneshwar (13 wickets)
Best Wickets/Inn at Kolkata
Vaibhav Arora (1.0)
Best Wickets/Inn at Bengaluru
J Hazlewood (3.0)

Position-Based Precision for Fantasy Cricket

Batting Position Analysis

PositionAvg. Runs30+ Prob.
127.037.5%
230.937.5%
326.950.0%
413.812.5%
521.325.0%

Today’s Match Prediction PREMIUM

KKR vs RCB – Eden Gardens

Top PerformersPositionPred. Score
V Kohli238-45
S Narine132-40
A Rahane325-35
V Iyer4 (2nd Inn)30-38

Position Value Analysis

Expected points per credit spent

Position 2 (2nd Inn) 9.8
Position 1 (2nd Inn) 9.2
Position 4 (2nd Inn) 8.7
Position 3 (1st Inn) 7.5

Unlock the Full Power of Position-Based Analytics

Join thousands of Dream11 players making smarter, data-driven decisions with CricInShort’s mathematical model.

Cricket Analytics Dashboard – Glossy

Cricket Position Analytics

Mathematical Prediction Model for Team Selection

Performance Overview

Our mathematical model analyzes batting position performance across innings, revealing consistent patterns that transcend individual players. The data shows clear differences in position performance between first and second innings.

Top Performing Position
Position 2
95% recommendation score
Highest Ceiling
109 runs
Position 2 player (V KOHLI)
Best 2nd Innings Gain
+23.0
Position 4 transformation
Best 1st Innings
Position 3
+9.1 runs over 2nd innings

Innings Performance Comparison

Position 1
27.0
43.3
Position 2
30.9
46.6
Position 3
26.9
17.8
Position 4
13.8
36.8
Position 5
21.3
18.6
1st Innings
2nd Innings

Key Strategic Insights

Position 2: Premier Pick

Highest mathematical expectation with exceptional ceiling. V KOHLI’s position is a top selection priority with 95% recommendation score.

Position 4: Second Innings Specialist

Most dramatic transformation when chasing. R PATIDAR’s position increases 167% in value when batting second.

Position 3: First Innings Advantage

Unique position that performs significantly better when batting first. A RAHANE’s position delivers higher value.

Batting Position Comparison

Innings Differential (2nd Innings vs 1st Innings)
Position 1
+16.3
Position 2
+15.7
Position 3
-9.1
Position 4
+23.0
Position 5
-2.7

Position Recommendation Scores

Position 1
92%
Position 2
95%
Position 3
70%
Position 4
85%
Position 5
65%

Position Performance Matrix

Position1st Innings2nd InningsDifferentialCeilingConsistencyPlayers
Position 127.043.3+16.375
S NARINE, P SALT
Position 230.946.6+15.7109
V KOHLI, Q DE KOCK
Position 326.917.8-9.168
A RAHANE, PADDIKAL
Position 413.836.8+23.068
V IYER, R PATIDAR
Position 521.318.6-2.750
ANGKRISH, LIVINGSTONE

Position Analysis

Position 1
Position 2
Position 3
Position 4
Position 5

Position 1 Stats

1st Innings Average 27.0
2nd Innings Average 43.3
1st Innings Consistency 62.5%
2nd Innings Consistency 87.5%
Ceiling 75 runs
Floor 18 runs
Recommendation Score 92%
Sample Players
S NARINE, P SALT

Performance Radar

First Innings
Second Innings
Consistency
Ceiling
Floor

Last 9 Matches Performance

Match1st Innings2nd Innings
Match 15432
Match 21089
Match 31019
Match 44818
Match 57554
Match 61368
Match 7640
Match 8026
Match 94456

Position 1 Key Insight

Strong Pick

Strong opener with significantly better performance in the second innings. 87.5% reliability of scoring 20+ runs when chasing makes this a premier position to target.

Better in 2nd Innings (+16.3) High Consistency Upward Trend

Batting First Strategy

When your team bats first
1

Position 3

First Innings Specialist

Top Pick
2

Position 5

Consistent Contributor

3

Position 1

Strong Opener

4

Position 2

Solid Potential

Model Confidence

75% confidence

Batting Second Strategy

When your team is chasing
1

Position 2

Premier Chaser

Must Pick
2

Position 4

Chase Specialist

Must Pick
3

Position 1

Reliable Opener

4

Position 5

Situational Pick

Model Confidence

92% confidence

Balanced Strategy

For unknown match conditions
1

Position 2

Highest Ceiling

Top Pick
2

Position 1

Consistent Performer

3

Position 4

Second Innings Value

4

Position 3

First Innings Value

Model Confidence

88% confidence

Captain & Vice-Captain Strategy

C

Position 2 Player

When batting second

Position 2 shows exceptional consistency and ceiling when batting second, with mathematical expectation of 46.6 runs.

Mathematical Expectation 95%
VC

Position 1 Player

Consistent performer

Position 1 provides excellent floor with 87.5% reliability of scoring 20+ runs when chasing, making it the ideal VC choice.

Floor Reliability 92%

Model Validation: Match 9 Results

Our position-based prediction model achieved 88% accuracy for the 9th match, with 7 out of 8 key position predictions falling within expected ranges.

First Innings Validation

  • 1

    Position 1 (Narine): 44 runs

    Prediction: 27.0 runs

  • 3

    Position 3 (Rahane): 56 runs

    Prediction: 26.9 runs

  • 2

    Position 2 (de Kock): 4 runs

    Prediction: 30.9 runs

Second Innings Validation

  • 2

    Position 2 (Kohli): 59 runs

    Prediction: 46.6 runs

  • 1

    Position 1 (Salt): 56 runs

    Prediction: 43.3 runs

  • 4

    Position 4 (Patidar): 34 runs

    Prediction: 36.8 runs

Position-Based Cricket Analytics • Mathematical Prediction Model • Version 1.0