â ī¸ AI-powered probability estimates based on historical data. Not guaranteed outcomes.
Lucknow Super Giants
22 playersRishabh Pant
LSGTop Order
50.9%
50+ Innings
82%chance of 20+ contribution
Under 2018%
Solid31.1%
50+50.9%
đĨ In Blazing FormđĒ 50+ in 17.1% inningsđ Form trending up
34.8
Career Avg
47
Last 3 Avg
142.5
SR
đ§ Rishabh Pant's prediction driven by excellent recent form (avg 47.0 last 3 innings), upward form trend, decent career average (34.8).
Josh Inglis
LSGTop Order
49.3%
50+ Innings
80.2%chance of 20+ contribution
Under 2019.8%
Solid30.9%
50+49.3%
⥠SR: 157.1đ¯ Career avg: 30.9
30.9
Career Avg
27
Last 3 Avg
157.1
SR
đ§ Josh Inglis's prediction driven by solid recent form (avg 27.0 last 3), declining form trend, decent career average (30.9).
Aiden Markram
LSGTop Order
44.2%
50+ Innings
81.8%chance of 20+ contribution
Under 2018.1%
Solid37.6%
50+44.2%
đĒ 50+ in 18.2% inningsđ¯ Career avg: 31.3
31.3
Career Avg
36.7
Last 3 Avg
131.7
SR
đ§ Aiden Markram's prediction driven by solid recent form (avg 36.7 last 3), decent career average (31.3), high big-innings rate (18.2% innings with 50+).
Mitchell Marsh
LSGTop Order
42%
50+ Innings
77.1%chance of 20+ contribution
Under 2022.9%
Solid35.1%
50+42%
đĨ In Blazing FormđĒ 50+ in 20.4% inningsđ Form trending up
29.4
Career Avg
83
Last 3 Avg
138.5
SR
đ§ Mitchell Marsh's prediction driven by excellent recent form (avg 83.0 last 3 innings), upward form trend, decent career average (29.4).
Matthew Breetzke
LSGOpener
29.9%
50+ Innings
67.1%chance of 20+ contribution
Under 2032.9%
Solid37.2%
50+29.9%
14
Career Avg
14
Last 3 Avg
116.7
SR
đ§ Matthew Breetzke's prediction driven by struggling for form lately (avg 14.0 last 3).
Arshin Kulkarni
LSGOpener
27.5%
50+ Innings
68%chance of 20+ contribution
Under 2032%
Solid40.5%
50+27.5%
4.5
Career Avg
4.5
Last 3 Avg
112.5
SR
đ§ Arshin Kulkarni's prediction driven by struggling for form lately (avg 4.5 last 3).
Nicholas Pooran
LSGMiddle Order
25%
50+ Innings
67.9%chance of 20+ contribution
Under 2032.1%
Solid42.9%
50+25%
âī¸ Avg 33.9 vs Delhi CapitalsđĒ 50+ in 16.3% innings⥠SR: 160.2
35.8
Career Avg
38
Last 3 Avg
160.2
SR
đ§ Nicholas Pooran's prediction driven by solid recent form (avg 38.0 last 3), upward form trend, strong career average (35.8).
Ayush Badoni
LSGMiddle Order
22%
50+ Innings
61.3%chance of 20+ contribution
Under 2038.7%
Solid39.3%
50+22%
27.5
Career Avg
37.3
Last 3 Avg
130.1
SR
đ§ Ayush Badoni's prediction driven by solid recent form (avg 37.3 last 3).
Shahbaz Ahmed
LSGMiddle Order
13.5%
50+ Innings
48.3%chance of 20+ contribution
Under 2051.6%
Solid34.8%
50+13.5%
19.5
Career Avg
11.7
Last 3 Avg
114.7
SR
đ§ Shahbaz Ahmed's prediction driven by struggling for form lately (avg 11.7 last 3).
Abdul Samad
LSGFinisher
4.9%
50+ Innings
31.1%chance of 20+ contribution
Under 2068.9%
Solid26.2%
50+4.9%
⥠SR: 147.0
20
Career Avg
16.3
Last 3 Avg
147
SR
đ§ Abdul Samad's prediction driven by struggles vs Delhi Capitals (avg 19.3).
Himmat Singh
LSGFinisher
3.5%
50+ Innings
20.5%chance of 20+ contribution
Under 2079.5%
Solid17%
50+3.5%
16.3
Career Avg
1.7
Last 3 Avg
131
SR
đ§ Himmat Singh's prediction driven by struggling for form lately (avg 1.7 last 3).
Avesh Khan
LSGLower Order
2.3%
50+ Innings
14%chance of 20+ contribution
Under 2086%
Solid11.7%
50+2.3%
⥠SR: 159.0đ¯ Career avg: 31.0
31
Career Avg
7
Last 3 Avg
159
SR
đ§ Avesh Khan's prediction driven by struggling for form lately (avg 7.0 last 3), decent career average (31.0).
Naman Tiwari
LSGFinisher
2.1%
50+ Innings
17.9%chance of 20+ contribution
Under 2082.2%
Solid15.8%
50+2.1%
3
Career Avg
3
Last 3 Avg
75
SR
đ§ Naman Tiwari's prediction driven by struggling for form lately (avg 3.0 last 3).
Arjun Tendulkar
LSGLower Order
1.7%
50+ Innings
11.3%chance of 20+ contribution
Under 2088.8%
Solid9.6%
50+1.7%
13
Career Avg
13
Last 3 Avg
144.4
SR
đ§ Arjun Tendulkar's prediction driven by struggling for form lately (avg 13.0 last 3).
Anrich Nortje
LSGLower Order
1.4%
50+ Innings
8.6%chance of 20+ contribution
Under 2091.4%
Solid7.2%
50+1.4%
9.8
Career Avg
1.3
Last 3 Avg
96.1
SR
đ§ Anrich Nortje's prediction driven by struggling for form lately (avg 1.3 last 3).
Mayank Yadav
LSGLower Order
1.4%
50+ Innings
9.5%chance of 20+ contribution
Under 2090.6%
Solid8.1%
50+1.4%
16.8
Career Avg
4
Last 3 Avg
83.8
SR
đ§ Mayank Yadav's prediction driven by struggling for form lately (avg 4.0 last 3).
Mohsin Khan
LSGLower Order
1.4%
50+ Innings
8.6%chance of 20+ contribution
Under 2091.4%
Solid7.2%
50+1.4%
12.5
Career Avg
3.7
Last 3 Avg
92.6
SR
đ§ Mohsin Khan's prediction driven by struggling for form lately (avg 3.7 last 3).
Mohammed Shami
LSGLower Order
1.3%
50+ Innings
8.5%chance of 20+ contribution
Under 2091.5%
Solid7.2%
50+1.3%
6
Career Avg
3
Last 3 Avg
90.3
SR
đ§ Mohammed Shami's prediction driven by struggling for form lately (avg 3.0 last 3).
Digvesh Singh
LSGLower Order
1.2%
50+ Innings
8.1%chance of 20+ contribution
Under 2091.8%
Solid6.9%
50+1.2%
3.7
Career Avg
1.7
Last 3 Avg
66.7
SR
đ§ Digvesh Singh's prediction driven by struggling for form lately (avg 1.7 last 3).
Akash Singh
LSGLower Order
1.1%
50+ Innings
7.9%chance of 20+ contribution
Under 2092.1%
Solid6.8%
50+1.1%
0.5
Career Avg
0.3
Last 3 Avg
20
SR
đ§ Akash Singh's prediction driven by struggling for form lately (avg 0.3 last 3).
Mukul Choudhary
LSGLower Order
1.1%
50+ Innings
8.5%chance of 20+ contribution
Under 2091.5%
Solid7.4%
50+1.1%
6
Career Avg
3
Last 3 Avg
100
SR
đ§ Mukul Choudhary's prediction driven by struggling for form lately (avg 3.0 last 3).
Prince Yadav
LSGLower Order
1.1%
50+ Innings
8.3%chance of 20+ contribution
Under 2091.7%
Solid7.2%
50+1.1%
5
Career Avg
2.5
Last 3 Avg
45.5
SR
đ§ Prince Yadav's prediction driven by struggling for form lately (avg 2.5 last 3).
đ§
How Our Predictions Work
Our AI model analyzes 1,100+ historical IPL matchesto predict each batsman's scoring range. The model uses 25 features including career stats, recent form, venue conditions, opposition bowling attack, and player-vs-opponent matchup history.
Under 20 (Under 20)Solid (20-49)50+ (50+)