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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 851 | MLB | Luke Keaschall 10 games | MIN vs COL@MIN | R | 1.5 | +1000 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 852 | MLB | Manny Machado 10 games | SD vs LAD@SDP | RBI | 1.5 | +600 | 1.2 | -0.3 | 1/5 | +1.1 | 35 | F | 0.0 | LOSS | WIN | |
| 853 | MLB | Marcell Ozuna 10 games | PIT vs CIN@PIT | TB | 1.5 | +220 | 1.4 | -0.1 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 854 | MLB | Matt Shaw 10 games | CHC vs CHC@MIL | R | 1.5 | +1300 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | 2.0 | WIN | LOSS | |
| 855 | MLB | Max Muncy 10 games | ATH vs LAD@SDP | TB | 1.5 | +145 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 4.0 | WIN | LOSS | |
| 856 | MLB | Michael Lorenzen 8 games | COL vs COL@MIN | K | 5.5 | +230 | 4.8 | -0.7 | 1/5 | +1.2 | 35 | F | 1.0 | LOSS | WIN | |
| 857 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@SFG | TB | 1.5 | +200 | 1 | -0.5 | 1/5 | +0.9 | 35 | F | 0.0 | LOSS | WIN | |
| 858 | MLB | Nico Hoerner 10 games | CHC vs CHC@MIL | H | 1.5 | +260 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 2.0 | WIN | LOSS | |
| 859 | MLB | Nico Hoerner 10 games | CHC vs CHC@MIL | TB | 1.5 | +160 | 1 | -0.5 | 1/5 | +0.8 | 35 | F | 2.0 | WIN | LOSS | |
| 860 | MLB | Nolan Schanuel 10 games | LAA vs Athletics@ | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 861 | MLB | Owen Caissie 10 games | MIA vs MIA@STL | H | 1.5 | +380 | 1 | -0.5 | 1/5 | +1 | 35 | F | 0.0 | LOSS | WIN | |
| 862 | MLB | Owen Caissie 10 games | MIA vs MIA@STL | RBI | 1.5 | +700 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 863 | MLB | Ozzie Albies 10 games | ATL vs ATL@SFG | R | 1.5 | +1000 | 1 | -0.5 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 864 | MLB | Ozzie Albies 10 games | ATL vs ATL@SFG | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 865 | MLB | Ryan Kreidler 10 games | MIN vs COL@MIN | R | 1.5 | +1000 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | — | PENDING | PENDING | |
| 866 | MLB | Ryan O'Hearn 10 games | PIT vs CIN@PIT | RBI | 1.5 | +700 | 1.2 | -0.3 | 1/5 | +1.3 | 35 | F | 1.0 | LOSS | WIN | |
| 867 | MLB | Salvador Perez 10 games | KC vs KCR@CHW | H | 1.5 | +320 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 868 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | RBI | 1.5 | +400 | 0.8 | -0.7 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 869 | MLB | Slade Cecconi 8 games | CLE vs SEA@CLE | K | 5.5 | +215 | 4.6 | -0.9 | 1/5 | +0.9 | 35 | F | 4.0 | LOSS | WIN | |
| 870 | MLB | Travis Bazzana 10 games | CLE vs SEA@CLE | R | 1.5 | +900 | 1.2 | -0.3 | 1/5 | +0.9 | 35 | F | 2.0 | WIN | LOSS | |
| 871 | MLB | Travis Bazzana 10 games | CLE vs SEA@CLE | RBI | 1.5 | +900 | 1.2 | -0.3 | 1/5 | +1.4 | 35 | F | 0.0 | LOSS | WIN | |
| 872 | MLB | Trea Turner 10 games | PHI vs PHI@NYM | R | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 873 | MLB | Ty France 10 games | SD vs LAD@SDP | H | 1.5 | +400 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | — | PENDING | PENDING | |
| 874 | MLB | Ty France 10 games | SD vs LAD@SDP | RBI | 1.5 | +900 | 1.2 | -0.3 | 1/5 | +1.1 | 35 | F | — | PENDING | PENDING | |
| 875 | MLB | Tyler Stephenson 10 games | CIN vs CIN@PIT | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | +0 | 35 | F | — | PENDING | PENDING | |
| 876 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TEX@TOR | R | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 877 | MLB | Wade Meckler 10 games | LAA vs Athletics@ | TB | 1.5 | +240 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 878 | MLB | Xander Bogaerts 10 games | SD vs LAD@SDP | H | 0.5 | -144 | 0.6 | +0.1 | 2/5 | +0.3 | 35 | F | 0.0 | LOSS | WIN | |
| 879 | MLB | Zach Neto 10 games | LAA vs Athletics@ | RBI | 1.5 | +600 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 880 | MLB | Alec Burleson 10 games | STL vs MIA@STL | TB | 1.5 | +105 | 1.2 | -0.3 | 2/5 | -1.3 | 34 | F | 0.0 | LOSS | WIN | |
| 881 | MLB | Alika Williams 10 games | ATH vs Athletics@ | H | 1.5 | +340 | 1.2 | -0.3 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 882 | MLB | Blaze Jordan 8 games | STL vs MIA@STL | TB | 1.5 | +170 | 1.2 | -0.3 | 2/5 | -0.7 | 34 | F | — | PENDING | PENDING | |
| 883 | MLB | Bo Bichette 10 games | NYM vs PHI@NYM | RBI | 0.5 | +157 | 0.4 | -0.1 | 2/5 | -0.7 | 34 | F | 1.0 | WIN | LOSS | |
| 884 | MLB | Byron Buxton 10 games | MIN vs COL@MIN | TB | 2.5 | +140 | 2.2 | -0.3 | 2/5 | -1.3 | 34 | F | 0.0 | LOSS | WIN | |
| 885 | MLB | Cody Bellinger 10 games | NYY vs NYY@BOS | RBI | 1.5 | +450 | 0.8 | -0.7 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 886 | MLB | Cole Carrigg 10 games | COL vs COL@MIN | RBI | 0.5 | +220 | 0.8 | +0.3 | 1/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 887 | MLB | Cole Carrigg 10 games | COL vs COL@MIN | TB | 1.5 | +155 | 1.4 | -0.1 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 888 | MLB | Cole Young 10 games | SEA vs SEA@CLE | TB | 1.5 | +180 | 1.2 | -0.3 | 2/5 | -1.1 | 34 | F | 1.0 | LOSS | WIN | |
| 889 | MLB | Curtis Mead 10 games | WSH vs WSN@BAL | RBI | 1.5 | +550 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 890 | MLB | Dalton Rushing 10 games | LAD vs LAD@SDP | TB | 1.5 | +185 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 4.0 | WIN | LOSS | |
| 891 | MLB | Daniel Schneemann 10 games | CLE vs SEA@CLE | RBI | 0.5 | +290 | 0.8 | +0.3 | 1/5 | -0.6 | 34 | F | — | PENDING | PENDING | |
| 892 | MLB | Davis Martin 9 games | CWS vs KCR@CHW | K | 4.5 | -220 | 4.8 | +0.3 | 3/5 | -2.3 | 34 | F | 3.0 | LOSS | WIN | |
| 893 | MLB | Edouard Julien 10 games | COL vs COL@MIN | H | 0.5 | -117 | 0.4 | -0.1 | 2/5 | -0.3 | 34 | F | — | PENDING | PENDING | |
| 894 | MLB | Freddy Fermin 10 games | SD vs LAD@SDP | RBI | 1.5 | +1300 | 1 | -0.5 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 895 | MLB | Garrett Mitchell 10 games | MIL vs CHC@MIL | TB | 1.5 | +240 | 1.4 | -0.1 | 2/5 | -1.1 | 34 | F | 0.0 | LOSS | WIN | |
| 896 | MLB | Gerrit Cole 5 games | NYY vs NYY@BOS | K | 5.5 | +128 | 4.8 | -0.7 | 2/5 | -0.8 | 34 | F | 5.0 | LOSS | WIN | |
| 897 | MLB | Hunter Goodman 10 games | COL vs COL@MIN | TB | 1.5 | +130 | 1.2 | -0.3 | 2/5 | -0.7 | 34 | F | 12.0 | WIN | LOSS | |
| 898 | MLB | Jack Perkins 10 games | ATH vs Athletics@ | K | 4.5 | -375 | 3.6 | -0.9 | 2/5 | +2.5 | 34 | F | 5.0 | WIN | LOSS | |
| 899 | MLB | Jackson Chourio 10 games | MIL vs CHC@MIL | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.4 | 34 | F | 1.0 | WIN | LOSS | |
| 900 | MLB | Jasson Domínguez 10 games | NYY vs NYY@BOS | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | 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.