MLB matchup analysis
Blue Jays vs Cubs Prediction, Odds and Model Pick
Thursday, August 6, 2026 at Wrigley Field · 2:20 PM ET
LyDia decision: Pass on Blue Jays vs Cubs
The case for Chicago Cubs
The case for Toronto Blue Jays
Why it is not official
Why the setup score is what it is
Read the full model output
Starting pitcher edge conflicts with the model side.
Final result
Blue Jays 2, Cubs 3
How the analysis held up
Chicago Cubs won, the side LyDia's model favored.
Dylan Cease (Toronto Blue Jays), the starter LyDia's pitcher score favored, actually outpitched David Peterson: 7.0 IP, 0 ER (0.00 ERA) against 5.0 IP, 1 ER (1.80 ERA). The edge held up.
The Toronto Blue Jays bullpen was flagged as elevated risk pregame (High risk). In relief it actually allowed 2 earned runs over 3.1 innings (5.40 ERA) — the risk read showed up. Note: 1 of the runs charged to the Toronto Blue Jays pitching staff overall was unearned — not something the bullpen's stuff should be blamed for.
Toronto Blue Jays scored 2 in a game that went 11 innings — not compared against the 3.4 pregame projection, which assumed nine.
Chicago Cubs scored 3 in a game that went 11 innings — not compared against the 4 pregame projection, which assumed nine.
This checks LyDia's pregame reasoning against what actually happened on the field — independent of whether this game was an official pick. It never changes the pick, the rating, or the probability shown above.
Game information
| Matchup | Toronto Blue Jays at Chicago Cubs |
|---|---|
| Date | Thursday, August 6, 2026 |
| First pitch | 2:20 PM ET |
| Venue | Wrigley Field |
| Starting pitchers | Dylan Cease vs David Peterson |
| Weather | Game-time forecast: 74°F, 6% precipitation chance, 5 mph wind from E. |
Starting pitcher matchup
Full Pitcher Matchup Tool →| Metric | Blue Jays | Cubs |
|---|---|---|
| Pitching plan | Traditional starter | Traditional starter |
| Expected innings | 6 | 5 |
| Throws | R | L |
| LyDia pitcher score (higher is better) | 85 | 49 |
| ERA (lower is better) | 2.28 | 5.35 |
| WHIP (lower is better) | 1.04 | 1.50 |
| K/9 (higher is better) | 13.1 | 7.5 |
| K-BB% (higher is better) | 26.1% | 9.5% |
| K% (higher is better) | 36.4% | 18.5% |
| BB% (lower is better) | 10.3% | 9.0% |
| BB/9 (lower is better) | 3.7 | 3.7 |
| HR/9 (lower is better) | 0.5 | 0.9 |
| Ground-ball rate | 50.0% | 58.8% |
| Fly-ball rate | 50.0% | 41.2% |
Pitcher edge: LyDia gives Dylan Cease a 36-point edge over David Peterson, driven mainly by K/9 (13.1 vs 7.5) and K-BB% (26.1% vs 9.5%).
How to read this: the scorecards above name the starters; every number lives in this table. Highlighted cells mark a gap big enough to matter. K% and BB% are strikeout and walk rate as a share of batters faced -- K-BB% is the two combined into one skill number. HR/9 is home runs allowed per nine innings. Ground-ball and fly-ball rate are neither good nor bad on their own: high ground-ball pitchers trade strikeouts for double plays and fewer home runs, and on this data source the two rates are complementary (they add to 100%), not independent reads.
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 →Blue Jays are 6-4 in their last 10, averaging 3.5 runs per game over the last 15 days, and hitting below their season form; Cubs are 7-3 in their last 10 and averaging 5.2 runs per game over the last 15 days. On the season Cubs carry the better run differential per game (+0.86 against -0.53).
| Metric | Blue Jays | Cubs |
|---|---|---|
| Last 10 | 6-4 | 7-3 |
| Last 10 by venue (away team on the road, home team at home) | 5-5 on the road | 6-4 at home |
| OPS, last 15 days | 0.649 | 0.777 |
| Runs per game, last 15 days | 3.5 | 5.2 |
| K% last 15 days (lower is better) | 19.5% | 24.3% |
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 | Blue Jays | Cubs |
|---|---|---|
| OPS | 0.657 (-0.021 vs szn) | 0.775 (+0.022 vs szn) |
| Runs per game | 3.76 (-0.128 vs szn) | 5.38 (+0.255 vs szn) |
| wOBA (model offense input) | 0.291 (-0.009 vs szn) | 0.340 (+0.007 vs szn) |
| K% (lower is better) | 17.7% (-1.8% vs szn) | 23.2% (+1.4% vs szn) |
Over the last 30 days the Cubs have been the better offense, 0.340 wOBA to 0.291.
Season profile
Full Stats page →| Metric | Blue Jays | Cubs |
|---|---|---|
| Record | 54-61 | 66-49 |
| Run differential / game (team quality) | -0.53 | +0.86 |
| Runs scored / game (offense, season) | 3.89 | 5.13 |
| Runs allowed / game (defense, season, lower better) | 4.41 | 4.27 |
| Season OPS | 0.679 | 0.756 |
| K% season (lower is better) | 19.5% | 21.8% |
| OPS vs opposing hand (season) | 0.632 | 0.738 |
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. Blue Jays and Cubs 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 | Blue Jays | Cubs |
|---|---|---|
| Fatigue | 9.7/10, High risk | 7.5/10, Tired |
| Efficiency | 5.8/10, Effective | 6.7/10, Effective |
| Combined risk | 9.3/10, High risk | 6.7/10, Tired |
| Relief innings, last 7 days | 26.7 | 23.3 |
| Back-to-back arms | 7 | 6 |
| 7-day ERA | 2.70 | 2.31 |
| 7-day WHIP | 1.35 | 0.94 |
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 2.0 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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