Maya Marom-Lalla (12)
Representative pathway — 0 pathway points in the overall rating
- ● Body of work — 9 imported matches (+0.2)
Critical recommendations
Adjusted average of 4.4 over 6 innings. Focus on the first 15 balls: leave/defend percentages, judgement outside off stump.
4 of 4 dismissals are bowled/LBW — likely playing across the front pad or leaving a gate. Work on a straighter bat path and head position over the ball.
1.3 wides/no-balls per over is gifting runs and momentum. Groove the run-up and release with target bowling — a cone on a 4th-stump line, 30+ balls per session.
Strengths
- Overall
- Weighted blend of the disciplines: Fielding 34 × 40% · Batting not rated (weight redistributed) · Bowling not rated (weight redistributed). Unrated disciplines are dropped and the remaining weights rescaled, so a non-bowler is not punished for not bowling.
- Level
- ×0.30 for the level played (Club 9). The same score is worth more in harder cricket.
- Form
- Rated on the last 9 matches since 30 Oct 2024. Older cricket still shows in the career figures but does not count.
- Fielding
- Outfield: 1 catches + 2 run outs (2 direct, 0 assisted) in 9 matches — 0.33 per match.
- Batting
- Not rated: 6 innings at 4.4 average — below the 20 floor needed to be presented as a batter.
- Bowling
- Not rated: 3 wickets from 21.0 overs across 9 matches — 0.33 per match, under the 0.25 floor. Bowls too rarely to judge.
Fielding — imported matches (9)
Batting — imported matches
Bowling — imported matches
Dismissal pattern
Imported-match summary
| Matches | 9 imported |
| Batting | 20 runs in 6 inns @ 4.44 (SR 30.77) |
| Milestones | 0×100, 0×50, HS 9, 2 ducks |
| Bowling | 3 wkts @ 34.33 (econ 4.9, SR 42) |
| Best / 5WI | 1-5 · 0 five-fors |
| Fielding | 1 ct, 2 RO, 0 st |
Further analysis
Batting form
Running not-out-adjusted average across innings (chronological).
Score distribution
How often each scoring band is reached — a read on consistency.
Scoring tempo
Runs vs balls faced per innings; line = a strike rate of 100.
Bowling form
Economy per spell (chronological) with the career economy as a baseline.
Wicket accumulation
Cumulative wickets across spells — the shape of their wicket-taking.
Fielding contribution
Breakdown of the 3 dismissals they were involved in.
Per-match fielding rate
Across 9 imported match(es).
Season by season
Seasons run 1 September – 31 August. Imported scorecards only.
Batting
| Season | Inns | NO | Runs | HS | Avg | SR | 50 | 100 |
|---|---|---|---|---|---|---|---|---|
| 2026/27 | 3 | 1 | 4 | 4* | 1.78 | 20 | 0 | 0 |
| 2025/26 | 3 | 1 | 16 | 9 | 7.11 | 35.56 | 0 | 0 |
Bowling
| Season | Overs | Mdns | Runs | Wkts | Avg | Econ | SR |
|---|---|---|---|---|---|---|---|
| 2026/27 | 6 | 0 | 30 | 1 | 30 | 5 | 36 |
| 2025/26 | 15 | 1 | 73 | 2 | 36.5 | 4.87 | 45 |
Fielding
| Season | Ct | WK Ct | RO | St | Dismissals |
|---|---|---|---|---|---|
| 2026/27 | 1 | 0 | 2 | 0 | 3 |
How does Maya compare?
Year-by-year, aligned by age — against Sam Konstas or any player you pick.