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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 651 | MLB | Cole Young 10 games | SEA vs SEA@CLE | RBI | 0.5 | +245 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 652 | MLB | Colson Montgomery 10 games | CWS vs KCR@CHW | H | 1.5 | +340 | 0.8 | -0.7 | 2/5 | -0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 653 | MLB | Cooper Pratt 5 games | MIL vs CHC@MIL | H | 1.5 | +300 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 654 | MLB | Cooper Pratt 5 games | MIL vs CHC@MIL | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 655 | MLB | Cooper Pratt 5 games | MIL vs CHC@MIL | RBI | 0.5 | +218 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 656 | MLB | Cooper Pratt 5 games | MIL vs CHC@MIL | TB | 1.5 | +180 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 657 | MLB | Corey Seager 10 games | TEX vs TEX@TOR | HR | 0.5 | +450 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 658 | MLB | Curtis Mead 10 games | WSH vs WSN@BAL | R | 0.5 | +125 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 659 | MLB | Daniel Schneemann 10 games | CLE vs SEA@CLE | R | 0.5 | +190 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | — | PENDING | PENDING | |
| 660 | MLB | Denzer Guzman 10 games | LAA vs Athletics@ | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 661 | MLB | Dominic Canzone 10 games | SEA vs SEA@CLE | R | 0.5 | +135 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 662 | MLB | Donovan Walton 10 games | LAA vs Athletics@ | HR | 0.5 | +850 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 663 | MLB | Drake Baldwin 10 games | ATL vs ATL@SFG | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.6 | 37 | F | 0.0 | LOSS | WIN | |
| 664 | MLB | Drake Baldwin 10 games | ATL vs ATL@SFG | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 665 | MLB | Drew Gilbert 10 games | SF vs ATL@SFG | RBI | 0.5 | +230 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 666 | MLB | Drew Millas 10 games | WSH vs WSN@BAL | R | 0.5 | +175 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 667 | MLB | Dylan Crews 10 games | WSH vs WSN@BAL | HR | 0.5 | +650 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 668 | MLB | Elly De La Cruz 10 games | CIN vs CIN@PIT | H | 1.5 | +240 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 669 | MLB | Ernie Clement 10 games | TOR vs TEX@TOR | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 670 | MLB | Ezequiel Duran 10 games | TEX vs TEX@TOR | R | 0.5 | +230 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 671 | MLB | Ezequiel Tovar 10 games | COL vs COL@MIN | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 672 | MLB | Fernando Tatis Jr. 10 games | SD vs LAD@SDP | H | 1.5 | +220 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 673 | MLB | Framber Valdez 9 games | DET vs HOU@DET | K | 4.5 | -140 | 4.4 | -0.1 | 3/5 | -0.4 | 37 | F | 2.0 | LOSS | WIN | |
| 674 | MLB | Freddie Freeman 10 games | LAD vs LAD@SDP | TB | 1.5 | +119 | 1.4 | -0.1 | 2/5 | -0.1 | 37 | F | 4.0 | WIN | LOSS | |
| 675 | MLB | Freddy Fermin 10 games | SD vs LAD@SDP | H | 1.5 | +600 | 0.8 | -0.7 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 676 | MLB | Freddy Fermin 10 games | SD vs LAD@SDP | HR | 0.5 | +1400 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 677 | MLB | Freddy Fermin 10 games | SD vs LAD@SDP | R | 0.5 | +280 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 678 | MLB | Garrett Mitchell 10 games | MIL vs CHC@MIL | H | 1.5 | +500 | 0.8 | -0.7 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 679 | MLB | Gavin Sheets 10 games | SD vs LAD@SDP | H | 0.5 | -130 | 0.6 | +0.1 | 2/5 | +0.2 | 37 | F | 3.0 | WIN | LOSS | |
| 680 | MLB | George Springer 10 games | TOR vs TEX@TOR | HR | 0.5 | +425 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | — | PENDING | PENDING | |
| 681 | MLB | George Springer 10 games | TOR vs TEX@TOR | RBI | 1.5 | +600 | 1 | -0.5 | 2/5 | +-0 | 37 | F | — | PENDING | PENDING | |
| 682 | MLB | Gunnar Henderson 10 games | BAL vs WSN@BAL | HR | 0.5 | +550 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 683 | MLB | Gunnar Henderson 10 games | BAL vs WSN@BAL | R | 0.5 | +110 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 684 | MLB | Gunnar Henderson 10 games | BAL vs WSN@BAL | RBI | 1.5 | +500 | 0.8 | -0.7 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 685 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | RBI | 0.5 | +260 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 686 | MLB | Hunter Goodman 10 games | COL vs COL@MIN | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 3.0 | WIN | LOSS | |
| 687 | MLB | Ian Happ 10 games | CHC vs CHC@MIL | TB | 1.5 | +180 | 1.4 | -0.1 | 2/5 | +0.4 | 37 | F | 4.0 | WIN | LOSS | |
| 688 | MLB | J.T. Realmuto 10 games | PHI vs PHI@NYM | H | 1.5 | +340 | 1.2 | -0.3 | 2/5 | +-0 | 37 | F | — | PENDING | PENDING | |
| 689 | MLB | J.T. Realmuto 10 games | PHI vs PHI@NYM | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 690 | MLB | Jac Caglianone 10 games | KC vs KCR@CHW | H | 1.5 | +280 | 1.2 | -0.3 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 691 | MLB | Jac Caglianone 10 games | KC vs KCR@CHW | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 692 | MLB | Jackson Chourio 10 games | MIL vs CHC@MIL | H | 0.5 | -320 | 0.6 | +0.1 | 3/5 | -0.6 | 37 | F | 1.0 | WIN | LOSS | |
| 693 | MLB | Jackson Holliday 10 games | BAL vs WSN@BAL | TB | 1.5 | +200 | 1.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 694 | MLB | Jacob Wilson 10 games | ATH vs Athletics@ | RBI | 1.5 | +700 | 1 | -0.5 | 2/5 | +0.3 | 37 | F | — | PENDING | PENDING | |
| 695 | MLB | Jake Burger 10 games | TEX vs TEX@TOR | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 696 | MLB | Jake Mangum 10 games | PIT vs CIN@PIT | RBI | 0.5 | +280 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 697 | MLB | Jake Mangum 10 games | PIT vs CIN@PIT | TB | 1.5 | +170 | 1.4 | -0.1 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 698 | MLB | Jake Rogers 10 games | DET vs HOU@DET | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 699 | MLB | Jake Rogers 10 games | DET vs HOU@DET | RBI | 0.5 | +272 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 700 | MLB | Jakob Marsee 10 games | MIA vs MIA@STL | RBI | 0.5 | +264 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | 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.