Gigantes de Carolina — Season 2025
Season Statistics
46
Played
22
Won
0
Drawn
24
Lost
Season Statistics
(2025)Scoring Overview
6.57
H / Game
7.02
Hits Against
0.83
E / Game
0.58
Runs / Hit
34.8%
Close games (1 run)
17.4%
Blowouts (5+ runs)
7
Shutouts Given
4
Extra Innings
Match Outcomes
Inning-by-Inning Scoring
10.33
0.37
20.26
0.28
30.41
0.39
40.30
0.39
50.54
0.41
60.67
0.41
70.30
0.43
80.38
0.62
90.61
0.39
Win / loss distribution by margin
1 run
6
10
2–3 runs
7
7
4–5 runs
5
5
6+ runs
4
2
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.
8
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.
0.83
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.
17.4%
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.
16
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.
6.57
Runs Per Hit
i
Runs scored for each hit. A high value can signal efficient scoring or temporary sequencing luck, so compare it with hits and recent form before backing overs.
0.58
Worst Inning
i
The inning where the team performs weakest. This can highlight vulnerable bullpen or lineup-turnover spots for live betting.
8
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.
6.5%
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.
3
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.
34.8%
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.
7
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.
7.02
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.
2.90
Shutouts Received
i
Games where this team failed to score. This flags offensive risk and can support caution on team totals or favourite prices.
6
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.
0.70
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.
3.30
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.
50.0%
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.
23.9%
Season Results
Complete match-by-match results for this season.
Competition
API data: 10 May 2026