Kedar Mehta (20)

Batting – Top-Order Batter U14 (2019/20) NSW
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Kedar Mehta
NSW · 1 matches · 25% match
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Teams played for
Competitions
Registered with: Riverstone Rangers Cricket Club · The Ponds Cricket Club
Age: Born on/after 1 Sep 2005 (inferred from U14 eligibility, 2019/20 season)
Green Shield: 0 season(s) played · last GS year 2021/22 (ages out of U16 after this)
View on play.cricket.com.au ↗
Overall Needs Work
8/100
fielding 40% · bat 30% · bowl 30%
Fielding Needs Work
24/100
Batting Proficient
41/100
Bowling Strong
~38/100
discounted — banded on wickets per match

Representative pathway — 1 pathway points in the overall rating

  • ● Body of work — 30 imported matches (+0.6)

Critical recommendations

high Fielding
Catching return too low for selection

Only 0.13 catches per match over 30 matches. Fielding is the first thing selectors compare when batting/bowling are close — make catching the priority: 30 high balls + 30 flat catches per session, and ask to field in the ring/slips where chances come.

medium Batting
High duck rate

Out for 0 in 15% of imported innings. Build a repeatable start routine: watch the ball out of the hand, score first run with low-risk pushes.

medium Bowling
Tight but not threatening

Economy of 2.38 is excellent but a wicket every 41 balls is slow. Develop a genuine wicket-taking variation and attack the stumps more.

Strengths

How these ratings are calculated
Overall
Weighted blend of the disciplines: Fielding 24 × 40% · Batting 41 × 30% · Bowling 38 × 30%. 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 30). The same score is worth more in harder cricket.
Form
No match in the last 2 years, so not ranked. The rating shown is from the career.
Fielding
Outfield: 4 catches + 1 run outs (1 direct, 0 assisted) in 30 matches — 0.17 per match.
Batting
396 runs in 27 innings, adjusted average 17.9. Qualifies on the floors (avg ≥ 20, SR ≥ 40).
Bowling
15 wickets in 26 matches bowled in (of 30 played) — 0.58 per match at 16.3, economy 2.38, strike rate 41.1.

Fielding — imported matches (30)

4
Ct (field)
0
Ct (WK)
0.13
Catches / match
1
RO (direct)
0
RO (assist)
0
Stumpings
5
Total dismissals
0.17
Dismissals / match

Batting — imported matches

396
Runs (27 inns)
17.93
Avg (adj)
—
Strike rate
72
High score
6
Not outs
3
Median position
Century (100+) Fifty (50–99) Not out (under 50) Out (under 50)

Bowling — imported matches

15
Wickets (102.8 ov)
2.38
Economy
16.33
Average
24
Maidens
0.1
Extras / over
41.1
Strike rate

Dismissal pattern

Imported-match summary

Matches 30 imported
Batting 396 runs in 27 inns @ 17.93 (SR —)
Milestones 0×100, 2×50, HS 72, 4 ducks
Bowling 15 wkts @ 16.33 (econ 2.38, SR 41.1)
Best / 5WI 2-10 · 0 five-fors
Fielding 4 ct, 1 RO, 0 st
All figures from imported scorecards only.

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 5 dismissals they were involved in.

Per-match fielding rate

0.13
Catches / match
0.17
Dismissals / match

Across 30 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
2019/20 13 4 246 62* 24.75 — 1 0
2018/19 4 0 117 72 29.25 — 1 0
2017/18 7 2 31 9* 5.69 — 0 0
2015/16 3 0 2 2 0.67 — 0 0

Bowling

Season Overs Mdns Runs Wkts Avg Econ SR
2019/20 48.8 13 105 6 17.5 2.15 48.8
2018/19 14 6 22 1 22 1.57 84
2017/18 34 5 92 7 13.14 2.71 29.1
2015/16 6 0 26 1 26 4.33 36

Fielding

Season Ct WK Ct RO St Dismissals
2019/20 4 0 1 0 5
Pathway benchmark

How does Kedar compare?

Year-by-year, aligned by age — against Sam Konstas or any player you pick.

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