Pre-game prop analysis powered by recent player performance. Every prop graded before tipoff.
| # | Sport | Player | Matchup | Stat | Line | Odds | L5 Avg | Edge | Hit | Trend | Score | Grade | Final | Over | Under | Books |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 751 | MLB | Brice Matthews 10 games | HOU vs PIT@HOU | RBI | 0.5 | +252 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 752 | MLB | Brice Turang 10 games | MIL vs SFG@MIL | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 753 | MLB | Byron Buxton 10 games | MIN vs KCR@MIN | HR | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 754 | MLB | Byron Buxton 10 games | MIN vs KCR@MIN | R | 0.5 | -120 | 0.4 | -0.1 | 1/5 | -0.5 | 29 | F | 1.0 | WIN | LOSS | |
| 755 | MLB | Byron Buxton 10 games | MIN vs KCR@MIN | RBI | 0.5 | +140 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 756 | MLB | Caleb Durbin 10 games | BOS vs BAL@BOS | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 757 | MLB | Caleb Durbin 10 games | BOS vs BAL@BOS | R | 1.5 | +900 | 0.4 | -1.1 | 1/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 758 | MLB | Carson Kelly 10 games | CHC vs Athletics@ | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 759 | MLB | Carson Kelly 10 games | CHC vs Athletics@ | RBI | 0.5 | +204 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 760 | MLB | Carter Jensen 10 games | KC vs KCR@MIN | TB | 1.5 | +129 | 1.2 | -0.3 | 1/5 | -1.1 | 29 | F | 2.0 | WIN | LOSS | |
| 761 | MLB | Casey Schmitt 10 games | SF vs SFG@MIL | H | 1.5 | +240 | 1 | -0.5 | 1/5 | -0.8 | 29 | F | 2.0 | WIN | LOSS | |
| 762 | MLB | Casey Schmitt 10 games | SF vs SFG@MIL | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 763 | MLB | Casey Schmitt 10 games | SF vs SFG@MIL | RBI | 0.5 | +204 | 0.4 | -0.1 | 1/5 | -0.7 | 29 | F | 2.0 | WIN | LOSS | |
| 764 | MLB | Ceddanne Rafaela 10 games | BOS vs BAL@BOS | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 765 | MLB | Cesar Salazar 7 games | HOU vs PIT@HOU | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 766 | MLB | Cesar Salazar 7 games | HOU vs PIT@HOU | R | 0.5 | +181 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 767 | MLB | Chase DeLauter 10 games | CLE vs CLE@NYY | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 768 | MLB | Christian Yelich 10 games | MIL vs SFG@MIL | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 769 | MLB | Coby Mayo 10 games | BAL vs BAL@BOS | H | 1.5 | +320 | 0.8 | -0.7 | 0/5 | +0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 770 | MLB | Coby Mayo 10 games | BAL vs BAL@BOS | R | 1.5 | +800 | 0.6 | -0.9 | 0/5 | +-0 | 29 | F | 1.0 | LOSS | WIN | |
| 771 | MLB | Cody Bellinger 10 games | NYY vs CLE@NYY | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 772 | MLB | Cody Bellinger 10 games | NYY vs CLE@NYY | R | 1.5 | +700 | 0.6 | -0.9 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 773 | MLB | Dalton Rushing 10 games | LAD vs LAD@ARI | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 774 | MLB | Dalton Rushing 10 games | LAD vs LAD@ARI | RBI | 0.5 | +155 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 775 | MLB | Dansby Swanson 10 games | CHC vs Athletics@ | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 776 | MLB | Dansby Swanson 10 games | CHC vs Athletics@ | RBI | 0.5 | +214 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 777 | MLB | Darell Hernaiz 10 games | ATH vs Athletics@ | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 778 | MLB | Darell Hernaiz 10 games | ATH vs Athletics@ | RBI | 0.5 | +264 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 779 | MLB | Daulton Varsho 10 games | TOR vs TOR@ATL | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 780 | MLB | David Fry 10 games | CLE vs CLE@NYY | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 781 | MLB | David Fry 10 games | CLE vs CLE@NYY | RBI | 0.5 | +252 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 782 | MLB | David Hamilton 10 games | MIL vs SFG@MIL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 783 | MLB | David Hamilton 10 games | MIL vs SFG@MIL | RBI | 0.5 | +226 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 784 | MLB | Dominic Smith 10 games | ATL vs TOR@ATL | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 785 | MLB | Dominic Smith 10 games | ATL vs TOR@ATL | RBI | 0.5 | +208 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 786 | MLB | Dominic Smith 10 games | ATL vs TOR@ATL | TB | 1.5 | +165 | 0.6 | -0.9 | 1/5 | -0.8 | 29 | F | 0.0 | LOSS | WIN | |
| 787 | MLB | Drew Gilbert 10 games | SF vs SFG@MIL | H | 1.5 | +475 | 0.6 | -0.9 | 1/5 | -0.7 | 29 | F | 2.0 | WIN | LOSS | |
| 788 | MLB | Ernie Clement 10 games | TOR vs TOR@ATL | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 789 | MLB | Fernando Tatis Jr. 10 games | SD vs SDP@PHI | R | 1.5 | +700 | 0.8 | -0.7 | 0/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 790 | MLB | Freddy Fermin 10 games | SD vs SDP@PHI | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 791 | MLB | Freddy Fermin 10 games | SD vs SDP@PHI | R | 0.5 | +240 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 792 | MLB | Gabriel Moreno 10 games | AZ vs LAD@ARI | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 793 | MLB | Gabriel Moreno 10 games | AZ vs LAD@ARI | RBI | 0.5 | +185 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 794 | MLB | Garrett Mitchell 10 games | MIL vs SFG@MIL | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 795 | MLB | Garrett Mitchell 10 games | MIL vs SFG@MIL | RBI | 0.5 | +185 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 796 | MLB | Gavin Sheets 10 games | SD vs SDP@PHI | RBI | 1.5 | +600 | 0.4 | -1.1 | 1/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 797 | MLB | George Springer 10 games | TOR vs TOR@ATL | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 798 | MLB | George Springer 10 games | TOR vs TOR@ATL | RBI | 0.5 | +280 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 799 | MLB | George Springer 10 games | TOR vs TOR@ATL | TB | 1.5 | +155 | 0.8 | -0.7 | 1/5 | -0.8 | 29 | F | 2.0 | WIN | LOSS | |
| 800 | MLB | Geraldo Perdomo 10 games | AZ vs LAD@ARI | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN |
Every prop scored on a 0–100 scale before tipoff — built to separate high-confidence plays from coin flips.
The Prop Grader analyzes every available player prop before games begin. It pulls recent performance data — the last 5 to 10 games — and runs each prop through a multi-factor scoring model. The result is a composite score and letter grade that tells you how confident the data is behind any given prop.
Scoring Factors
Edge vs Line (up to 35 pts) — How far the player's recent average sits above or below the prop line. A large positive edge means the player has been consistently clearing this number.
Hit Rate (up to 25 pts) — Out of the last 5 games, how many times did the player actually beat this line? A 5/5 hit rate earns full marks.
Trend (up to 15 pts) — Is the player trending up or down? Compares the last 3 games against the last 10 to detect momentum shifts.
Role Stability (up to 15 pts) — For NBA, this checks minutes consistency. A starter playing 34+ minutes with low variance is more predictable than someone fluctuating between 20 and 35.
Odds Value (up to 10 pts) — Props with plus-money or short juice are more valuable than heavily juiced lines. Better odds mean better expected value.
Grade Scale
A (85–100) — Elite. Strong edge, near-perfect hit rate, positive trend, stable role. These are the highest-confidence props on the board.
B (75–84) — Strong. Most factors are favorable. Solid plays with data backing them up.
C (65–74) — Average. The numbers lean positive but there may be a weak factor pulling the score down.
D (55–64) — Below average. The edge is thin or the recent track record is inconsistent.
F (below 55) — Weak. The data doesn't support this prop. Proceed with caution or skip entirely.
Grades are computed before tipoff using data available at that time. After games complete, each prop is matched against the actual box score and marked as a win, loss, or push.