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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 601 | MLB | Framber Valdez 9 games | DET vs CLE@DET | K | 5.5 | +200 | 5 | -0.5 | 2/5 | +0.3 | 37 | F | 3.0 | LOSS | WIN | |
| 602 | MLB | Francisco Alvarez 10 games | NYM vs NYM@ATL | RBI | 0.5 | +208 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 603 | MLB | Francisco Lindor 10 games | NYM vs NYM@ATL | RBI | 0.5 | +204 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 604 | MLB | Freddy Fermin 10 games | SD vs MIL@SDP | R | 0.5 | +190 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 605 | MLB | Gabriel Moreno 10 games | AZ vs COL@ARI | H | 1.5 | +180 | 1.4 | -0.1 | 2/5 | +0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 606 | MLB | Gabriel Moreno 10 games | AZ vs COL@ARI | R | 0.5 | +100 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 607 | MLB | Gabriel Moreno 10 games | AZ vs COL@ARI | RBI | 0.5 | +138 | 0.4 | -0.1 | 2/5 | +-0 | 37 | F | 1.0 | WIN | LOSS | |
| 608 | MLB | Gavin Sheets 10 games | SD vs MIL@SDP | R | 0.5 | +170 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 609 | MLB | George Lombard Jr. 6 games | NYY vs SEA@NYY | TB | 1.5 | +175 | 1.6 | +0.1 | 1/5 | +0 | 37 | F | 2.0 | WIN | LOSS | |
| 610 | MLB | George Springer 10 games | TOR vs BOS@TOR | R | 0.5 | +143 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | — | PENDING | PENDING | |
| 611 | MLB | Geraldo Perdomo 10 games | AZ vs COL@ARI | H | 0.5 | -246 | 0.8 | +0.3 | 3/5 | -0.7 | 37 | F | 2.0 | WIN | LOSS | |
| 612 | MLB | Hao-Yu Lee 10 games | DET vs CLE@DET | RBI | 0.5 | +201 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 613 | MLB | Henry Bolte 10 games | ATH vs TBR@Athlet | H | 1.5 | +300 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 614 | MLB | Hunter Feduccia 10 games | LAD vs KCR@LAD | R | 0.5 | +145 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 615 | MLB | Hunter Goodman 10 games | COL vs COL@ARI | R | 0.5 | +121 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 616 | MLB | Ian Happ 10 games | CHC vs CHC@WSN | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 617 | MLB | Ivan Herrera 10 games | STL vs PHI@STL | R | 1.5 | +1000 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 618 | MLB | Jackson Chourio 10 games | MIL vs MIL@SDP | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 619 | MLB | Jackson Merrill 10 games | SD vs MIL@SDP | H | 1.5 | +280 | 1.4 | -0.1 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 620 | MLB | Jackson Merrill 10 games | SD vs MIL@SDP | RBI | 1.5 | +550 | 1.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 621 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@MIA | RBI | 0.5 | +253 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 622 | MLB | Jacob Young 10 games | WSH vs CHC@WSN | H | 1.5 | +300 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 623 | MLB | Jakob Marsee 10 games | MIA vs PIT@MIA | H | 1.5 | +300 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 624 | MLB | Janson Junk 5 games | MIA vs PIT@MIA | K | 4.5 | +126 | 3.8 | -0.7 | 2/5 | -0.1 | 37 | F | 2.0 | LOSS | WIN | |
| 625 | MLB | Jared Young 10 games | NYM vs NYM@ATL | RBI | 1.5 | +700 | 1 | -0.5 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 626 | MLB | Javier Sanoja 10 games | MIA vs PIT@MIA | H | 1.5 | +260 | 1.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 627 | MLB | Javier Sanoja 10 games | MIA vs PIT@MIA | R | 0.5 | +165 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 628 | MLB | Javier Sanoja 10 games | MIA vs PIT@MIA | RBI | 1.5 | +800 | 1 | -0.5 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 629 | MLB | Jazz Chisholm Jr. 10 games | NYY vs SEA@NYY | R | 0.5 | +126 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 630 | MLB | Jazz Chisholm Jr. 10 games | NYY vs SEA@NYY | RBI | 0.5 | +191 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 631 | MLB | Jo Adell 10 games | CLE vs CLE@DET | R | 0.5 | +135 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 632 | MLB | Joc Pederson 10 games | TEX vs TEX@LAA | HR | 0.5 | +300 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 633 | MLB | Joey Ortiz 10 games | MIL vs MIL@SDP | H | 1.5 | +400 | 1 | -0.5 | 2/5 | +0 | 37 | F | 1.0 | LOSS | WIN | |
| 634 | MLB | Jonathan Aranda 10 games | TB vs TBR@Athlet | H | 1.5 | +180 | 1.2 | -0.3 | 2/5 | -0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 635 | MLB | Jonathan Aranda 10 games | TB vs TBR@Athlet | RBI | 0.5 | +144 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 636 | MLB | Jordan Beck 6 games | COL vs COL@ARI | TB | 1.5 | +220 | 1.2 | -0.3 | 2/5 | -0.5 | 37 | F | — | PENDING | PENDING | |
| 637 | MLB | Jordan Walker 10 games | STL vs PHI@STL | RBI | 0.5 | +201 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 638 | MLB | Jose Altuve 10 games | HOU vs HOU@SFG | H | 0.5 | -220 | 0.8 | +0.3 | 3/5 | -0.8 | 37 | F | — | PENDING | PENDING | |
| 639 | MLB | Jose Altuve 10 games | HOU vs HOU@SFG | RBI | 0.5 | +170 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 640 | MLB | Josh Bell 10 games | MIN vs BAL@MIN | HR | 0.5 | +500 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 641 | MLB | Josh Bell 10 games | MIN vs BAL@MIN | RBI | 1.5 | +500 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 642 | MLB | Julio Rodriguez 7 games | SEA vs SEA@NYY | R | 0.5 | +125 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | — | PENDING | PENDING | |
| 643 | MLB | Jung Hoo Lee 10 games | SF vs HOU@SFG | R | 0.5 | +120 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 644 | MLB | Junior Caminero 10 games | TB vs TBR@Athlet | HR | 0.5 | +200 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 645 | MLB | Junior Caminero 10 games | TB vs TBR@Athlet | TB | 2.5 | +130 | 1.6 | -0.9 | 2/5 | +0.3 | 37 | F | 2.0 | LOSS | WIN | |
| 646 | MLB | Ketel Marte 10 games | AZ vs COL@ARI | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 647 | MLB | Kevin McGonigle 10 games | DET vs CLE@DET | RBI | 1.5 | +600 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 648 | MLB | Kyle Karros 10 games | COL vs COL@ARI | R | 0.5 | +154 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | — | PENDING | PENDING | |
| 649 | MLB | Kyle Tucker 10 games | LAD vs KCR@LAD | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.6 | 37 | F | 0.0 | LOSS | WIN | |
| 650 | MLB | Kyle Tucker 10 games | LAD vs KCR@LAD | RBI | 0.5 | +175 | 0.4 | -0.1 | 2/5 | +0 | 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.