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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 801 | MLB | Nick Kurtz 10 games | ATH vs LAA@Athlet | RBI | 1.5 | +380 | 1.4 | -0.1 | 2/5 | -1.2 | 34 | F | 1.0 | LOSS | WIN | |
| 802 | MLB | Nick Madrigal 10 games | LAA vs LAA@Athlet | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.7 | 34 | F | — | PENDING | PENDING | |
| 803 | MLB | Otto Lopez 10 games | MIA vs SFG@MIA | TB | 1.5 | +116 | 1 | -0.5 | 2/5 | -1.3 | 34 | F | 1.0 | LOSS | WIN | |
| 804 | MLB | Owen Caissie 10 games | MIA vs SFG@MIA | H | 0.5 | -113 | 0.4 | -0.1 | 2/5 | +0 | 34 | F | 3.0 | WIN | LOSS | |
| 805 | MLB | Ozzie Albies 10 games | ATL vs MIL@ATL | TB | 1.5 | +220 | 1 | -0.5 | 2/5 | -0.5 | 34 | F | 1.0 | LOSS | WIN | |
| 806 | MLB | Rhett Lowder 6 games | CIN vs CIN@NYY | K | 5.5 | +260 | 3.8 | -1.7 | 2/5 | +0 | 34 | F | 5.0 | LOSS | WIN | |
| 807 | MLB | Rhys Hoskins 10 games | CLE vs CLE@HOU | H | 0.5 | -120 | 0.4 | -0.1 | 2/5 | +0 | 34 | F | 1.0 | WIN | LOSS | |
| 808 | MLB | Rob Refsnyder 10 games | SEA vs BOS@SEA | H | 0.5 | -113 | 0.4 | -0.1 | 2/5 | -0.2 | 34 | F | 0.0 | LOSS | WIN | |
| 809 | MLB | Samad Taylor 10 games | SD vs SDP@TEX | RBI | 0.5 | +360 | 0.6 | +0.1 | 1/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 810 | MLB | Shohei Ohtani 10 games | LAD vs BAL@LAD | RBI | 0.5 | +129 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | — | PENDING | PENDING | |
| 811 | MLB | Shohei Ohtani 10 games | LAD vs BAL@LAD | TB | 2.5 | +140 | 1.6 | -0.9 | 2/5 | -1.3 | 34 | F | — | PENDING | PENDING | |
| 812 | MLB | Tristan Peters 10 games | CWS vs CHW@DET | H | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.5 | 34 | F | 0.0 | LOSS | WIN | |
| 813 | MLB | William Contreras 10 games | MIL vs MIL@ATL | H | 1.5 | +220 | 1.2 | -0.3 | 2/5 | -0.9 | 34 | F | 0.0 | LOSS | WIN | |
| 814 | MLB | William Contreras 10 games | MIL vs MIL@ATL | TB | 1.5 | +122 | 1.4 | -0.1 | 2/5 | -1.4 | 34 | F | 0.0 | LOSS | WIN | |
| 815 | MLB | Willson Contreras 10 games | BOS vs BOS@SEA | H | 1.5 | +300 | 1.2 | -0.3 | 2/5 | -0.7 | 34 | F | 1.0 | LOSS | WIN | |
| 816 | MLB | Ben Rice 10 games | NYY vs CIN@NYY | R | 0.5 | -155 | 0.6 | +0.1 | 2/5 | +0.1 | 33 | F | 1.0 | WIN | LOSS | |
| 817 | MLB | Brayan Rocchio 10 games | CLE vs CLE@HOU | H | 0.5 | -190 | 0.6 | +0.1 | 2/5 | +-0 | 33 | F | 2.0 | WIN | LOSS | |
| 818 | MLB | Cole Carrigg 9 games | COL vs PIT@COL | H | 0.5 | -190 | 0.6 | +0.1 | 2/5 | -0.4 | 33 | F | 1.0 | WIN | LOSS | |
| 819 | MLB | Edgar Quero 10 games | CWS vs CHW@DET | H | 0.5 | -155 | 0.8 | +0.3 | 2/5 | +0.3 | 33 | F | 0.0 | LOSS | WIN | |
| 820 | MLB | Gunnar Henderson 10 games | BAL vs BAL@LAD | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | -0.5 | 33 | F | 1.0 | WIN | LOSS | |
| 821 | MLB | Jeff McNeil 10 games | ATH vs LAA@Athlet | H | 0.5 | -167 | 0.8 | +0.3 | 2/5 | -0.1 | 33 | F | 0.0 | LOSS | WIN | |
| 822 | MLB | JJ Bleday 10 games | CIN vs CIN@NYY | H | 0.5 | -165 | 0.6 | +0.1 | 2/5 | +-0 | 33 | F | 0.0 | LOSS | WIN | |
| 823 | MLB | Joc Pederson 10 games | TEX vs SDP@TEX | H | 0.5 | -160 | 0.6 | +0.1 | 2/5 | +0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 824 | MLB | Jordan Walker 10 games | STL vs STL@KCR | H | 0.5 | -260 | 0.8 | +0.3 | 2/5 | -0.3 | 33 | F | 2.0 | WIN | LOSS | |
| 825 | MLB | Jung Hoo Lee 10 games | SF vs SFG@MIA | H | 0.5 | -240 | 0.6 | +0.1 | 2/5 | -0.4 | 33 | F | 2.0 | WIN | LOSS | |
| 826 | MLB | Michael Massey 10 games | KC vs STL@KCR | H | 0.5 | -220 | 0.6 | +0.1 | 2/5 | -0.3 | 33 | F | 1.0 | WIN | LOSS | |
| 827 | MLB | Steven Kwan 10 games | CLE vs CLE@HOU | H | 0.5 | -165 | 0.6 | +0.1 | 2/5 | -0.5 | 33 | F | 0.0 | LOSS | WIN | |
| 828 | MLB | Troy Johnston 10 games | COL vs PIT@COL | H | 0.5 | -220 | 0.8 | +0.3 | 2/5 | -0.3 | 33 | F | — | PENDING | PENDING | |
| 829 | MLB | Alec Burleson 10 games | STL vs STL@KCR | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 830 | MLB | Alejandro Kirk 4 games | TOR vs TOR@CHC | R | 0.5 | +150 | 0.3 | -0.3 | 1/4 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 831 | MLB | Alejandro Kirk 4 games | TOR vs TOR@CHC | RBI | 1.5 | +700 | 0.5 | -1 | 1/4 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 832 | MLB | Alex Bregman 10 games | CHC vs TOR@CHC | R | 0.5 | +150 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 833 | MLB | Alex Bregman 10 games | CHC vs TOR@CHC | RBI | 0.5 | +265 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 834 | MLB | Alex Freeland 10 games | LAD vs BAL@LAD | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 835 | MLB | Alex Freeland 10 games | LAD vs BAL@LAD | TB | 1.5 | +240 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 836 | MLB | Andrew Vaughn 10 games | MIL vs MIL@ATL | R | 0.5 | +120 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 837 | MLB | Andrew Vaughn 10 games | MIL vs MIL@ATL | RBI | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 838 | MLB | Andy Pages 10 games | LAD vs BAL@LAD | H | 1.5 | +200 | 0.8 | -0.7 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 839 | MLB | Andy Pages 10 games | LAD vs BAL@LAD | TB | 1.5 | +110 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 840 | MLB | Austin Riley 10 games | ATL vs MIL@ATL | H | 1.5 | +500 | 1 | -0.5 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 841 | MLB | Austin Riley 10 games | ATL vs MIL@ATL | RBI | 0.5 | +275 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 842 | MLB | Ben Rice 10 games | NYY vs CIN@NYY | H | 1.5 | +190 | 1.2 | -0.3 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 843 | MLB | Ben Rice 10 games | NYY vs CIN@NYY | R | 1.5 | +320 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 844 | MLB | Blake Perkins 10 games | MIL vs MIL@ATL | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 845 | MLB | Blaze Jordan 7 games | STL vs STL@KCR | H | 1.5 | +280 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 846 | MLB | Blaze Jordan 7 games | STL vs STL@KCR | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 847 | MLB | Blaze Jordan 7 games | STL vs STL@KCR | RBI | 0.5 | +204 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 848 | MLB | Bobby Witt Jr. 10 games | KC vs STL@KCR | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 849 | MLB | Bobby Witt Jr. 10 games | KC vs STL@KCR | R | 1.5 | +550 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | — | PENDING | PENDING | |
| 850 | MLB | Braden Montgomery 8 games | CWS vs CHW@DET | R | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | 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.