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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 201 | MLB | Alec Burleson 10 games | STL vs PHI@STL | TB | 1.5 | +165 | 1.8 | +0.3 | 3/5 | -0.3 | 49 | F | 1.0 | LOSS | WIN | |
| 202 | MLB | Alejandro Kirk 10 games | TOR vs BOS@TOR | RBI | 0.5 | +207 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 203 | MLB | Alex Bregman 10 games | CHC vs CHC@WSN | R | 0.5 | +115 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 3.0 | WIN | LOSS | |
| 204 | MLB | Andrew Vaughn 10 games | MIL vs MIL@SDP | RBI | 0.5 | +209 | 0.8 | +0.3 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 205 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TOR | H | 0.5 | -115 | 1 | +0.5 | 3/5 | -0.8 | 49 | F | 1.0 | WIN | LOSS | |
| 206 | MLB | Braden Montgomery 10 games | CWS vs CIN@CHW | RBI | 0.5 | +249 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 207 | MLB | Brandon Lowe 10 games | PIT vs PIT@MIA | RBI | 0.5 | +208 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 208 | MLB | Brandon Marsh 10 games | PHI vs PHI@STL | R | 0.5 | +134 | 0.8 | +0.3 | 3/5 | +-0 | 49 | F | 0.0 | LOSS | WIN | |
| 209 | MLB | Brice Turang 10 games | MIL vs MIL@SDP | R | 0.5 | +105 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 210 | MLB | Brooks Lee 10 games | MIN vs BAL@MIN | H | 0.5 | -210 | 1 | +0.5 | 3/5 | +0.5 | 49 | F | 2.0 | WIN | LOSS | |
| 211 | MLB | Bryan Reynolds 10 games | PIT vs PIT@MIA | R | 0.5 | +135 | 0.8 | +0.3 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 212 | MLB | Carter Jensen 10 games | KC vs KCR@LAD | R | 0.5 | +200 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 213 | MLB | Chase DeLauter 10 games | CLE vs CLE@DET | R | 0.5 | +110 | 0.8 | +0.3 | 3/5 | -0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 214 | MLB | Dansby Swanson 10 games | CHC vs CHC@WSN | R | 0.5 | +120 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 215 | MLB | Daylen Lile 10 games | WSH vs CHC@WSN | H | 0.5 | -165 | 1 | +0.5 | 3/5 | +0.9 | 49 | F | 0.0 | LOSS | WIN | |
| 216 | MLB | Dylan Crews 10 games | WSH vs CHC@WSN | R | 0.5 | +116 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 217 | MLB | Gabriel Moreno 10 games | AZ vs COL@ARI | RBI | 0.5 | +151 | 0.6 | +0.1 | 3/5 | -0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 218 | MLB | George Lombard Jr. 5 games | NYY vs SEA@NYY | R | 0.5 | +178 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 219 | MLB | Isaac Paredes 10 games | HOU vs HOU@SFG | TB | 1.5 | +130 | 1.8 | +0.3 | 3/5 | +0.2 | 49 | F | 2.0 | WIN | LOSS | |
| 220 | MLB | Jackson Chourio 10 games | MIL vs MIL@SDP | HR | 0.5 | +475 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 221 | MLB | Jackson Chourio 10 games | MIL vs MIL@SDP | R | 0.5 | +105 | 0.6 | +0.1 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 222 | MLB | Jackson Chourio 10 games | MIL vs MIL@SDP | RBI | 0.5 | +169 | 0.6 | +0.1 | 3/5 | -0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 223 | MLB | Jackson Holliday 10 games | BAL vs BAL@MIN | H | 0.5 | -212 | 1.2 | +0.7 | 3/5 | +1.3 | 49 | F | 0.0 | LOSS | WIN | |
| 224 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@MIA | RBI | 0.5 | +295 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 225 | MLB | Jacob Young 10 games | WSH vs CHC@WSN | R | 0.5 | +184 | 0.8 | +0.3 | 3/5 | -0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 226 | MLB | Jake Mangum 10 games | PIT vs PIT@MIA | RBI | 0.5 | +260 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 227 | MLB | JJ Wetherholt 10 games | STL vs PHI@STL | R | 0.5 | +135 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 228 | MLB | Jonathan Aranda 10 games | TB vs TBR@Athlet | RBI | 0.5 | +133 | 0.6 | +0.1 | 3/5 | -0.5 | 49 | F | 0.0 | LOSS | WIN | |
| 229 | MLB | Jordan Walker 10 games | STL vs PHI@STL | R | 0.5 | +115 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 230 | MLB | Josh Bell 10 games | MIN vs BAL@MIN | R | 0.5 | +120 | 0.8 | +0.3 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 231 | MLB | Josh Naylor 10 games | SEA vs SEA@NYY | TB | 1.5 | +175 | 2.2 | +0.7 | 1/5 | +1.8 | 49 | F | — | PENDING | PENDING | |
| 232 | MLB | Justin Crawford 10 games | PHI vs PHI@STL | R | 0.5 | +160 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 233 | MLB | Justin Crawford 10 games | PHI vs PHI@STL | TB | 1.5 | +190 | 1.8 | +0.3 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 234 | MLB | Kaelen Culpepper 3 games | MIN vs BAL@MIN | R | 0.5 | +165 | 0.7 | +0.2 | 2/3 | +0 | 49 | F | 0.0 | LOSS | WIN | |
| 235 | MLB | Kaelen Culpepper 3 games | MIN vs BAL@MIN | RBI | 0.5 | +218 | 0.7 | +0.2 | 2/3 | +0 | 49 | F | 0.0 | LOSS | WIN | |
| 236 | MLB | Kazuma Okamoto 10 games | TOR vs BOS@TOR | R | 0.5 | +130 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | — | PENDING | PENDING | |
| 237 | MLB | Kyle Stowers 10 games | MIA vs PIT@MIA | H | 0.5 | -155 | 1.4 | +0.9 | 3/5 | +0.8 | 49 | F | — | PENDING | PENDING | |
| 238 | MLB | Kyle Tucker 10 games | LAD vs KCR@LAD | R | 0.5 | +121 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 239 | MLB | Luke Keaschall 10 games | MIN vs BAL@MIN | R | 0.5 | +135 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 240 | MLB | Masataka Yoshida 10 games | BOS vs BOS@TOR | R | 0.5 | +192 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 241 | MLB | Masataka Yoshida 10 games | BOS vs BOS@TOR | RBI | 0.5 | +298 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 242 | MLB | Masataka Yoshida 10 games | BOS vs BOS@TOR | TB | 1.5 | +190 | 1.8 | +0.3 | 3/5 | +0.3 | 49 | F | 2.0 | WIN | LOSS | |
| 243 | MLB | Matt McLain 10 games | CIN vs CIN@CHW | R | 0.5 | +185 | 0.6 | +0.1 | 3/5 | -0.3 | 49 | F | 2.0 | WIN | LOSS | |
| 244 | MLB | Matt Olson 10 games | ATL vs NYM@ATL | H | 0.5 | -175 | 1 | +0.5 | 4/5 | -0.5 | 49 | F | 1.0 | WIN | LOSS | |
| 245 | MLB | Matt Olson 10 games | ATL vs NYM@ATL | HR | 0.5 | +350 | 0.6 | +0.1 | 3/5 | -0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 246 | MLB | Matt Olson 10 games | ATL vs NYM@ATL | RBI | 0.5 | +159 | 0.6 | +0.1 | 3/5 | -0.3 | 49 | F | 2.0 | WIN | LOSS | |
| 247 | MLB | Max Clark 9 games | DET vs CLE@DET | RBI | 0.5 | +247 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 248 | MLB | Michael Massey 10 games | KC vs KCR@LAD | H | 0.5 | -115 | 0.8 | +0.3 | 3/5 | +0.5 | 49 | F | 0.0 | LOSS | WIN | |
| 249 | MLB | Miguel Vargas 10 games | CWS vs CIN@CHW | R | 0.5 | +110 | 0.8 | +0.3 | 3/5 | +0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 250 | MLB | Nico Hoerner 10 games | CHC vs CHC@WSN | R | 0.5 | +120 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | 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.