Tom Hamblin

Batting – Top-Order Batter NSW Anchor / accumulator
📈 Journey 📊 Rankings
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Teams played for
Competitions
Registered with: Gordon District Cricket Club (Premier) · Sydney University Cricket Club · UTS North Sydney Cricket Club
View on play.cricket.com.au ↗
Overall Needs Work
10/100
fielding 40% · bat 30% · bowl 30%
Fielding Needs Work
21/100
Batting Proficient
53/100
Bowling Part Time
~21/100
discounted — banded on wickets per match

Representative pathway — 5 pathway points in the overall rating

  • ● Regional representative — 48 matches (+4.0)
  • ● Body of work — 55 imported matches (+1.1)

Critical recommendations

high Batting
Strike rotation needs urgent work

Strike rate of 47.6 means long dot-ball chains and pressure on partners. Drill singles into gaps, soft-hand placement, and calling.

medium Batting
Not converting fifties into hundreds

Only 10% of 50+ scores become hundreds (9 fifties, 1 hundreds). Practise batting in long blocks and resetting targets at 50.

medium Fielding
Low overall fielding impact

0.24 dismissals per match across 55 matches. Add direct-hit and ground-fielding reps to turn half-chances into run outs.

Strengths

  • ✓ Proven ability to go big — 1 hundred(s), best of 143.
How these ratings are calculated
Overall
Weighted blend of the disciplines: Fielding 21 × 40% · Batting 53 × 30% · Bowling 21 × 30%. Unrated disciplines are dropped and the remaining weights rescaled, so a non-bowler is not punished for not bowling.
Level
×0.35 for the level played (3rd grade 20 · Club 7 · 4th grade 20 · 5th grade and below 8). 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: 12 catches + 1 run outs (1 direct, 0 assisted) in 55 matches — 0.24 per match.
Batting
1,711 runs in 63 innings, adjusted average 29.3, strike rate 47.6. Qualifies on the floors (avg ≥ 20, SR ≥ 40).
Bowling
13 wickets in 10 matches bowled in (of 55 played) — 0.24 per match at 12.4, economy 4.03, strike rate 18.5.

Fielding — imported matches (55)

12
Ct (field)
0
Ct (WK)
0.22
Catches / match
1
RO (direct)
0
RO (assist)
0
Stumpings
13
Total dismissals
0.24
Dismissals / match

Batting — imported matches

1711
Runs (63 inns)
29.31
Avg (adj)
47.59
Strike rate
143
High score
5
Not outs
3
Median position
Century (100+) Fifty (50–99) Not out (under 50) Out (under 50)

Bowling — imported matches

13
Wickets (40 ov)
4.03
Economy
12.38
Average
4
Maidens
0.15
Extras / over
18.5
Strike rate

Dismissal pattern

Imported-match summary

Matches 55 imported
Batting 1711 runs in 63 inns @ 29.31 (SR 47.59)
Milestones 1×100, 9×50, HS 143, 5 ducks
Bowling 13 wkts @ 12.38 (econ 4.03, SR 18.5)
Best / 5WI 6-27 · 1 five-fors
Fielding 12 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 13 dismissals they were involved in.

Per-match fielding rate

0.22
Catches / match
0.24
Dismissals / match

Across 55 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 5 0 47 21 9.4 335.71 0 0
2018/19 14 0 420 97 30 200 3 0
2017/18 16 2 472 71* 33.19 238.38 2 0
2016/17 17 3 500 143* 34.6 250 2 1
2015/16 11 0 272 74 24.73 — 2 0

Bowling

Season Overs Mdns Runs Wkts Avg Econ SR
2018/19 18 4 50 3 16.67 2.78 36
2017/18 10 0 48 2 24 4.8 30
2016/17 1 0 5 0 — 5 —
2015/16 11 0 58 8 7.25 5.27 8.3

Fielding

Season Ct WK Ct RO St Dismissals
2019/20 1 0 0 0 1
2018/19 4 0 0 0 4
2017/18 4 0 1 0 5
2016/17 3 0 0 0 3
Pathway benchmark

How does Tom compare?

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

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