Overview
Cornell Big RedResults Breakdown
Cornell Big Red's last 141 results: 79 regulation wins, 6 overtime wins, 11 shootout wins, 36 regulation losses, 6 OT losses, 3 SO losses. Understanding win-type distribution helps evaluate how reliant a team is on extra time.
Based on last 141 games
Recent Form
Cornell Big Red's last 5 matches: 1 win, 2 draws, 2 losses. Most recent game was against Denver Pioneers. Recent form is one of the strongest predictors of upcoming match outcomes.
Season Statistics
(2025/2026)Cornell Big Red have played 33 matches this season with 23 wins (69.7% win rate), scoring 3.21 goals (3.21 per game) and conceding 2.00. These splits reveal attacking strength, defensive solidity, and home/away patterns useful for match-result and over/under betting.
Season Record
Win/Loss Types
Goals by Period
Statistics
Sport
The sport context for this club season. Use it to jump back to the sport overview with leagues, clubs and results.Matches Played
Total matches included in this season record. It defines the sample size behind the win, loss and scoring metrics.33
Overtime %
Share of games decided in overtime or a shootout. Higher values indicate a more even-tempered team and greater potential for live betting on the outcome after regulation.9.1%
PP Goals For
Power-play goals scored. A strong power play increases scoring capacity and matters more in games with frequent penalties.0
SH Goals For
Short-handed goals scored. Scoring while a man down signals offensive depth and can affect totals in penalty-heavy matchups.0
Shutout Wins
Wins where this team held the opponent scoreless. A strong indicator of defensive stability — relevant for under and both-teams-to-score bets.1
Comeback Rate
Share of games with a comeback pattern. It helps judge whether live underdog prices after an early deficit may still carry value.6.1%
Comeback Wins
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.2
Shutout Win Pct
Share of wins where the team kept a clean sheet. Shows whether wins rely on defence or narrow scoring matchups.4.3%
PP Goals Against
Goals conceded while shorthanded. A higher count flags weakness on the penalty kill, relevant against teams with a strong power play.0
SH Goals Against
Goals conceded during power plays. May indicate power-play inefficiency or defensive lapses when a man up.0
Comeback Win Rate
Share of games where the team recovered from a deficit to win. Useful for live betting after the first or second period.6.1%
Penalties Per Game
Average number of penalties per game. Teams with more penalties create more power-play and penalty-kill situations for both sides.0
Matches With Events
Games for which detailed event data (power plays, penalties) is available. Lower values reduce the reliability of the other hockey metrics.1
First Period Win Rate
Share of games where the team led after the first period and went on to win. Relevant for first-period result bets and live decision-making.81.8%
API data: 13 Jun 2026 · Stats updated: 22 Apr 2026