Peter O'Reilly

Batting – Top-Order Batter NSW Anchor / accumulator
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Peter O'Reilly
NSW · 42 matches · 100% match
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Teams played for
Competitions
Registered with: NSW Masters Cricket - Representative Teams · Port Jackson Masters Cricket · LDCC Lindfield Cricket - SENIORS · Sri Lanka Lions Sports Club · Cricket Australia Masters · Macquarie University Cricket Club · NSW Masters Cricket · New South Wales Over 60's · Australian Over 50's Cricket Club
View on play.cricket.com.au ↗
Overall Needs Work
6/100
fielding 40% · bat 30% · bowl 30%
Fielding Needs Work
14/100
Batting Proficient
43/100
Bowling Strong
~35/100
discounted — banded on wickets per match

Representative pathway — 3 pathway points in the overall rating

  • ● Regional representative — 17 matches (+2.5)
  • ● Body of work — 27 imported matches (+0.5)

Critical recommendations

high Batting
Strike rotation needs urgent work

Strike rate of 58.7 means long dot-ball chains and pressure on partners. Drill singles into gaps, soft-hand placement, and calling.

high Batting
Vulnerable to the straight ball

13 of 19 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.

Strengths

How these ratings are calculated
Overall
Weighted blend of the disciplines: Fielding 14 × 40% · Batting 43 × 30% · Bowling 35 × 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 27). 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: 8 catches + 0 run outs (0 direct, 0 assisted) in 27 matches — 0.30 per match.
Batting
441 runs in 26 innings, adjusted average 21.5, strike rate 58.7. Qualifies on the floors (avg ≥ 20, SR ≥ 40).
Bowling
17 wickets in 17 matches bowled in (of 27 played) — 1.00 per match at 27.8, economy 4.15, strike rate 40.2.

Fielding — imported matches (27)

8
Ct (field)
0
Ct (WK)
0.3
Catches / match
0
RO (direct)
0
RO (assist)
0
Stumpings
8
Total dismissals
0.3
Dismissals / match

Batting — imported matches

441
Runs (26 inns)
21.53
Avg (adj)
58.7
Strike rate
64
High score
7
Not outs
3
Median position
Century (100+) Fifty (50–99) Not out (under 50) Out (under 50)

Bowling — imported matches

17
Wickets (114 ov)
4.15
Economy
27.82
Average
11
Maidens
0.03
Extras / over
40.2
Strike rate

Dismissal pattern

Imported-match summary

Matches 27 imported
Batting 441 runs in 26 inns @ 21.53 (SR 58.7)
Milestones 0×100, 2×50, HS 64, 2 ducks
Bowling 17 wkts @ 27.82 (econ 4.15, SR 40.2)
Best / 5WI 3-11 · 0 five-fors
Fielding 8 ct, 0 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 8 dismissals they were involved in.

Per-match fielding rate

0.3
Catches / match
0.3
Dismissals / match

Across 27 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
2022/23 2 1 55 50* 41.25 49.55 1 0
2020/21 3 0 38 31 12.67 — 0 0
2019/20 3 1 85 64* 37.78 74.56 1 0
2018/19 5 2 77 40* 21.56 79.38 0 0
2017/18 4 2 66 32* 24.75 — 0 0
2016/17 5 0 44 23 8.8 — 0 0
2015/16 3 1 62 31* 27.56 — 0 0
2014/15 1 0 14 14 14 — 0 0

Bowling

Season Overs Mdns Runs Wkts Avg Econ SR
2022/23 5 0 31 1 31 6.2 30
2020/21 2 0 22 0 — 11 —
2019/20 24 1 95 4 23.75 3.96 36
2018/19 34 5 123 6 20.5 3.62 34
2016/17 38 5 136 6 22.67 3.58 38
2015/16 8 0 51 0 — 6.38 —
2014/15 3 0 15 0 — 5 —

Fielding

Season Ct WK Ct RO St Dismissals
2019/20 1 0 0 0 1
2018/19 1 0 0 0 1
2016/17 5 0 0 0 5
2015/16 1 0 0 0 1
Pathway benchmark

How does Peter compare?

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

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