MLB matchup analysis
Rays vs Rangers Prediction, Odds and Model Pick
Thursday, September 3, 2026 at Globe Life Field · 8:05 PM ET
LyDia decision: Pass on Rays vs Rangers
The case for Texas Rangers
The case for Tampa Bay Rays
Why it is not official
Why the setup score is what it is
Why the price is what it is
Read the full model output
The combined Lab Rating did not clear the official threshold.
Final result
Rays 0, Rangers 6
How the analysis held up
Texas Rangers won, the side LyDia's model favored.
LyDia's two internal reads disagreed pregame by 7.8 points — the team-strength model favored Texas Rangers, the run-projection model favored Tampa Bay Rays. The team-strength model had the winner here.
Shane McClanahan (No clear pitching-plan edge) was LyDia's favored starter by pitcher score, but Cal Quantrill actually pitched better tonight: 7.0 IP, 0 ER (0.00 ERA) against 5.0 IP, 4 ER (7.20 ERA). The edge did not show up in this game.
The Tampa Bay Rays bullpen was flagged as elevated risk pregame (Tired). In relief it actually allowed 2 earned runs over 3.0 innings (6.00 ERA) — the risk read showed up.
The Texas Rangers bullpen was flagged as elevated risk pregame (Tired). In relief it actually allowed 0 earned runs over 2.0 innings (0.00 ERA) — the risk read did not show up on the scoreboard tonight.
Tampa Bay Rays scored 0, 4.3 fewer than the 4.3 pregame projection.
Texas Rangers scored 6, 2.1 more than the 3.9 pregame projection.
Game information
| Matchup | Tampa Bay Rays at Texas Rangers |
|---|---|
| Date | Thursday, September 3, 2026 |
| First pitch | 8:05 PM ET |
| Venue | Globe Life Field |
| Starting pitchers | Shane McClanahan vs Cal Quantrill |
| Weather | Game-time forecast: 90°F, 5% precipitation chance, 10 mph wind from SE. This venue has a roof, but the roof status is not confirmed. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Rays | Rangers |
|---|---|---|
| Pitching plan | Traditional starter | Traditional starter |
| Expected innings | 4⅔ | 4⅔ |
| Throws | L | R |
| LyDia pitcher score (higher is better) | 73 | 75 |
| ERA (lower is better) | 3.16 | 2.96 |
| WHIP (lower is better) | 1.11 | 1.08 |
| K/9 (higher is better) | 8.2 | 6.8 |
| K-BB% (higher is better) | 13.8% | 12.6% |
| K% (higher is better) | 22.1% | 18.5% |
| BB% (lower is better) | 8.3% | 5.9% |
| BB/9 (lower is better) | 3.1 | 2.2 |
| HR/9 (lower is better) | 0.7 | 1.1 |
| Ground-ball rate | 49.4% | 42.2% |
| Fly-ball rate | 50.6% | 57.8% |
Pitcher edge: LyDia gives Cal Quantrill a 2-point edge over Shane McClanahan, driven mainly by BB/9 (2.2 vs 3.1) and ERA (2.96 vs 3.16).
How to read this: the scorecards above name the starters; every number lives in this table.
Strikeout Projections Full strikeout projections →
Same data source as the Pitcher Matchup Tool, where every starter on the slate is compared side by side.
Recent form
Full Stats page →Rays are 7-3 in their last 10 and averaging 4.1 runs per game over the last 15 days; Rangers are 5-5 in their last 10 and averaging 4.3 runs per game over the last 15 days. On the season Rays carry the better run differential per game (+0.32 against -0.30).
| Metric | Rays | Rangers |
|---|---|---|
| Last 10 | 7-3 | 5-5 |
| Last 10 by venue (away team on the road, home team at home) | 6-4 on the road | 7-3 at home |
| OPS, last 15 days | 0.664 | 0.756 |
| wOBA, last 15 days (hot/cold read) | 0.294 | 0.332 |
| Runs per game, last 15 days | 4.1 | 4.3 |
| K% last 15 days (lower is better) | 16.5% | 21.0% |
Last 15 days only. Hot and cold streaks for all 30 teams live on the Stats page.
30-day offense
Full offense tool →| Last 30 days | Rays | Rangers |
|---|---|---|
| OPS | 0.719 (-0.011 vs szn) | 0.705 (-0.011 vs szn) |
| Runs per game | 4.68 (+0.193 vs szn) | 4.00 (-0.099 vs szn) |
| wOBA (model offense input) | 0.317 | 0.312 |
| K% (lower is better) | 16.1% (-2.4% vs szn) | 21.9% (-0.7% vs szn) |
Over the last 30 days the Rays have been the better offense, 0.317 wOBA to 0.312.
Season profile
Full Stats page →| Metric | Rays | Rangers |
|---|---|---|
| Record | 83-56 | 69-71 |
| Run differential / game (team quality) | +0.32 | -0.30 |
| Runs scored / game (offense, season) | 4.49 | 4.10 |
| Runs allowed / game (defense, season, lower better) | 4.16 | 4.40 |
| Season OPS | 0.733 | 0.715 |
| K% season (lower is better) | 18.5% | 22.7% |
| OPS vs opposing hand (season) | 0.752 | 0.757 |
Season-long team quality, not recent form. Run differential and run environment come from the season standings; splits for all 30 teams live on the Stats page, including the run environment table.
The Map
Full interactive map →Every team on today's slate, on any two axes you pick. Rays and Rangers are highlighted.
Bullpen matchup
Full Bullpen Fatigue Index →Risk is what the model actually uses: fatigue blended with how well the pen has pitched. High fatigue with high efficiency is a tired pen that is still getting outs.
| Metric | Rays | Rangers |
|---|---|---|
| Fatigue | 7.7/10, Tired | 6.2/10, Tired |
| Efficiency | 5.7/10, Effective | 2.8/10, Struggling |
| Combined risk | 7.4/10, Tired | 7.3/10, Tired |
| Relief innings, last 7 days | 23.3 | 21.0 |
| Back-to-back arms | 4 | 6 |
| 7-day ERA | 3.09 | 6.43 |
| 7-day WHIP | 1.29 | 1.90 |
Fatigue measures workload. Efficiency measures recent run prevention. Combined risk is what the moneyline and totals systems use.
Run total projection
Full Totals Projections →The model projects 1.1 runs above the market total. A research lean still requires a setup rating of at least 7.0/10. Team totals remain research-only until their graded sample is established.
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