Sydney — Season 2012
Season Statistics
32
Played
18
Won
0
Drawn
14
Lost
Season Statistics
(2012)Scoring Overview
0
H / Game
0
Hits Against
0.00
E / Game
37.5%
Close games (1 run)
21.9%
Blowouts (5+ runs)
5
Shutouts Given
4
Extra Innings
Match Outcomes
Inning-by-Inning Scoring
10.34
0.62
20.44
0.16
30.91
0.41
40.47
0.56
50.56
0.50
60.94
0.19
70.34
0.50
80.70
0.27
90.17
0.07
Win / loss distribution by margin
1 run
6
6
2–3 runs
3
6
4–5 runs
4
2
6+ runs
5
0
Statistics
Blowouts
i
Games decided by a large margin. Blowouts show how often a team separates from opponents or gets exposed, useful for handicap and alternate run-line markets.
7
Avg Errors
i
Average fielding errors per game. More errors can create extra base runners and unearned runs, which is useful when judging run totals, team defence and live-game momentum.
0
Best Inning
i
The inning where the team has its strongest scoring profile. It can guide live-betting timing and period-specific markets when the sportsbook offers them.
6
Blowout Pct
i
Percentage of games decided by a large margin. A higher rate supports checking run lines and alternate handicaps instead of only standard moneyline prices.
21.9%
Close Games
i
Number of games decided by a narrow margin. A high count points to volatile late-game spots where run-line, moneyline and bullpen matchups deserve extra attention.
12
Avg Hits For
i
Average hits produced by the team per game. It helps estimate offensive pressure beyond runs and can support over/under, team total and hit-prop angles.
0
Worst Inning
i
The inning where the team performs weakest. This can highlight vulnerable bullpen or lineup-turnover spots for live betting.
1
Comeback Rate
i
Share of games with a comeback pattern. It helps judge whether live underdog prices after an early deficit may still carry value.
12.5%
Comeback Wins
i
Wins after trailing earlier in the game. This highlights resilience and late scoring, useful for live betting when the team falls behind at a playable price.
4
Close Game Pct
i
Percentage of games decided by a narrow margin. High values suggest tighter pricing, late variance and a need to compare moneyline against handicap markets.
37.5%
Shutouts Given
i
Games where this team held the opponent scoreless. This indicates strong pitching or defence and can support unders or opponent team-total unders.
5
Avg Hits Against
i
Average hits allowed per game. More hits against can expose pitching or defensive pressure and may support opponent team totals or overs.
0
Avg Losing Margin
i
Average margin in the team's losses. Smaller margins may indicate competitiveness despite losses, while larger margins warn against aggressive handicap backing.
2.10
Shutouts Received
i
Games where this team failed to score. This flags offensive risk and can support caution on team totals or favourite prices.
0
Avg Errors Against
i
Average errors committed by opponents in this team's games. It shows how often the team benefits from opponent mistakes, but treat it carefully because errors can be noisy.
0
Avg Winning Margin
i
Average margin in the team's wins. Bigger margins can support run-line confidence, while small margins suggest moneyline may be safer than handicap markets.
4.20
Extra Inning Games
i
Games that went beyond regulation innings. Frequent extra-inning games point to tight matchups and can matter for bullpen fatigue and live total decisions.
4
Extra Inning Win Rate
i
Win rate in extra-inning games. Use it as a small signal for late-game execution, but keep sample size in mind before pricing close-game edges.
25.0%
First Inning Scoring Pct
i
Share of games where the team scores in the first inning. This is directly relevant for first-inning run markets and early live-betting expectations.
21.9%
API data: 10 May 2026