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 | Geraldo Perdomo 10 games | AZ vs LAD@ARI | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 802 | MLB | Geraldo Perdomo 10 games | AZ vs LAD@ARI | RBI | 0.5 | +195 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 1.0 | WIN | LOSS | |
| 803 | MLB | Gunnar Henderson 10 games | BAL vs BAL@BOS | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 804 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 805 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | RBI | 0.5 | +210 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 806 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | TB | 1.5 | +142 | 1 | -0.5 | 1/5 | -0.7 | 29 | F | 3.0 | WIN | LOSS | |
| 807 | MLB | Ildemaro Vargas 10 games | AZ vs LAD@ARI | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 808 | MLB | Ildemaro Vargas 10 games | AZ vs LAD@ARI | R | 0.5 | +150 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 809 | MLB | Ildemaro Vargas 10 games | AZ vs LAD@ARI | RBI | 0.5 | +181 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 810 | MLB | Ildemaro Vargas 10 games | AZ vs LAD@ARI | TB | 1.5 | +130 | 0.6 | -0.9 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 811 | MLB | Isaac Collins 10 games | KC vs KCR@MIN | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 812 | MLB | Isaac Collins 10 games | KC vs KCR@MIN | RBI | 0.5 | +225 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 813 | MLB | Isiah Kiner-Falefa 10 games | BOS vs BAL@BOS | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 814 | MLB | Isiah Kiner-Falefa 10 games | BOS vs BAL@BOS | R | 1.5 | +900 | 0.8 | -0.7 | 0/5 | +-0 | 29 | F | 0.0 | LOSS | WIN | |
| 815 | MLB | J.C. Escarra 10 games | NYY vs CLE@NYY | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 816 | MLB | Jake Bauers 10 games | MIL vs SFG@MIL | H | 1.5 | +280 | 0.6 | -0.9 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 817 | MLB | Jake Bauers 10 games | MIL vs SFG@MIL | R | 1.5 | +550 | 0.6 | -0.9 | 0/5 | +0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 818 | MLB | Jake Meyers 10 games | HOU vs PIT@HOU | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 819 | MLB | Jared Triolo 10 games | PIT vs PIT@HOU | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 820 | MLB | Jared Triolo 10 games | PIT vs PIT@HOU | TB | 1.5 | +250 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 821 | MLB | Jeff McNeil 10 games | ATH vs Athletics@ | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 822 | MLB | Jeff McNeil 10 games | ATH vs Athletics@ | R | 0.5 | +165 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 823 | MLB | Jeff McNeil 10 games | ATH vs Athletics@ | RBI | 0.5 | +220 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 824 | MLB | Jeff McNeil 10 games | ATH vs Athletics@ | TB | 1.5 | +142 | 0.6 | -0.9 | 0/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 825 | MLB | Jose Fernandez 10 games | AZ vs LAD@ARI | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 826 | MLB | Jose Fernandez 10 games | AZ vs LAD@ARI | R | 0.5 | +210 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 827 | MLB | Jose Fernandez 10 games | AZ vs LAD@ARI | RBI | 0.5 | +260 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 828 | MLB | Josh Bell 10 games | MIN vs KCR@MIN | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 829 | MLB | Jung Hoo Lee 10 games | SF vs SFG@MIL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 830 | MLB | Jung Hoo Lee 10 games | SF vs SFG@MIL | R | 1.5 | +900 | 0.6 | -0.9 | 0/5 | -0.4 | 29 | F | 3.0 | WIN | LOSS | |
| 831 | MLB | Justin Crawford 10 games | PHI vs SDP@PHI | H | 1.5 | +380 | 0.8 | -0.7 | 0/5 | +0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 832 | MLB | Justin Crawford 10 games | PHI vs SDP@PHI | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 833 | MLB | Justin Crawford 10 games | PHI vs SDP@PHI | RBI | 0.5 | +270 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 834 | MLB | Kyle Isbel 10 games | KC vs KCR@MIN | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 835 | MLB | Kyle Isbel 10 games | KC vs KCR@MIN | R | 0.5 | +169 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 836 | MLB | Kyle Isbel 10 games | KC vs KCR@MIN | RBI | 0.5 | +260 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 837 | MLB | Leody Taveras 10 games | BAL vs BAL@BOS | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 838 | MLB | Luis Arraez 10 games | SF vs SFG@MIL | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 839 | MLB | Luis Rengifo 10 games | MIL vs SFG@MIL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 840 | MLB | Luke Keaschall 10 games | MIN vs KCR@MIN | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 841 | MLB | Manny Machado 10 games | SD vs SDP@PHI | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | -0.6 | 29 | F | 2.0 | WIN | LOSS | |
| 842 | MLB | Marcelo Mayer 10 games | BOS vs BAL@BOS | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 843 | MLB | Michael Busch 10 games | CHC vs Athletics@ | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 844 | MLB | Michael Harris II 10 games | ATL vs TOR@ATL | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 845 | MLB | Miguel Andujar 10 games | SD vs SDP@PHI | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 846 | MLB | Miguel Andujar 10 games | SD vs SDP@PHI | RBI | 0.5 | +230 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 847 | MLB | Mike Yastrzemski 10 games | ATL vs TOR@ATL | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 848 | MLB | Moisés Ballesteros 10 games | CHC vs Athletics@ | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 849 | MLB | Moisés Ballesteros 10 games | CHC vs Athletics@ | R | 0.5 | +140 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 850 | MLB | Moisés Ballesteros 10 games | CHC vs Athletics@ | RBI | 0.5 | +180 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS |
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.