Park factor
96 total idx
Petco Park run environment
Park factor boosts run scoring, so contact quality matters more tonight here.

MIN
63-65

SD
68-60
Verdict
Pass · no edge tonight.
The model doesn't see daylight against the posted line on this game. We don't surface negative-EV picks; check the drill-down for sub-model context.
Why this matchup
2 signals · model + marketDrill down
Sub-model tables · ensemble breakdown · last meeting · book shop · player props
Pregame · scouting report
Probable starters, projected lineups, head-to-head this season, our model edge against the market — every angle on one surface.
Away starter

Connor Prielipp
SP · #61
3-6
W-L
5.34
ERA
1.38
WHIP
94
K
87.2
IP
Last 3 starts
Home starter

Randy Vasquez
SP · #98
8-6
W-L
4.30
ERA
1.38
WHIP
71
K
111.0
IP
Last 3 starts
Vegas line
Lines post once a sportsbook releases them.
Model edge
Head to head
Scouting report · pre-game
SD is 7-3 recently; MIN is 5-5.
56.6%
model · SD win prob
Recent form
Situational
Rest is even. SD has 6 straight road games; MIN has 0.
Model angle
Weather and park remove about 0.3 runs from the total environment.
Players to watch
Taj Bradley · 6.5 K · last-10 6.7 vs season 6.3.
Michael King · 5 K · last-10 5.1 vs season 5.
Robbie Ray · 4.5 K · last-10 4.3 vs season 4.7.
Aggregated from r107 anatomy · r109 CLV history · r112 calibration · r118 line moves · r124 player projections · refreshes every 5 minutes
Model ensemble · how the prediction is built
Each sub-model uses a different rating substrate. Bayesian model averaging weights them by rolling Brier score so the ensemble inherits each model's strengths. Disagreement flags games where the sub-models don't see eye-to-eye — lower confidence, wider band.
56.9%
ensemble · SD favored
Elo Static
55.2%
P(SD win)
33%
weight
Elo Pitching
56.5%
P(SD win)
33%
weight
Bullpen Park
55.4%
P(SD win)
34%
weight
Disagreement
0.57 pp
weighted σ across sub-models
Confidence
96% · high
maps from disagreement
Substrate count
3 / 3 active
ones with full inputs tonight
Weights recalibrated nightly on a 90-day rolling window with strict point-in-time correctness — no model gets credit for a game it hasn't seen. Headline % is Platt-scaled per league; sub-model rows show raw BMA inputs.
Player projections
Per-player stat projections built from a recency-weighted blend of the last ten games, season average, and matchup context. Confidence reflects sample size and stability — the top of each list is who to watch.
130
projections · 114 high confidence
Strikeouts
Hits
Total bases
RBIs
Earned runs
Projections recompute every 30 minutes · prop lines plug in once sportsbook ingest lands
Matchup · 2026
MLB Stats API
MIN
league avg
SD
.727
OPS
.719
.704
.321
OBP
.318
.315
4.63
Runs / G
4.50
4.24
4.62
Team ERA
4.17
▶4.05
1.38
WHIP
1.30
▶1.31
8.4
K / 9
8.5
8.3
MIN
Twins
85-71
SD★
Padres
77-72
Data via ESPN · MLB Stats API · Baseball Savant
Team pages
Elsewhere in the MLB
Preview · MLB
innesota Twins visit San Diego Padres Friday at 8/21 - 9:40 PM EDT. SD is 8-4 in their last 12.
The market hasn't shipped a line worth tagging key numbers on yet — check back closer to first pitch.
ByTheOnemodel/auto-generated · live odds + scouting data/refreshes with the page
MLB · Box score
No player stats available yet.
No player stats available yet.
Team stats
MIN
Away
Stat
SD
Home
592
Runs
543
1062
Hits
1001
59
Errors
55
1749
TB
1638
147
HR
143
420
BB
439
1035
K
1038
876
LOB
836
Season series
Series starts 8/21
Pitching matchup · today
ESPN · season stats
C. Prielipp
#61 · 3-6
ERA
5.34
K
94
SV
—
Last 3 starts

R. Vasquez
#98 · 8-6
ERA
4.30
K
71
SV
—
Last 3 starts
Scouting report
MIN @ SD
Rest going in
2 days
last game Aug 19
2 days
last game Aug 19
Tale of the tape
63-65
Record
68-60
#6
Conf rank
#6
-0.3
Pt diff
0.0
W3
Streak
L1
5-5
Last 10
7-3
Bullpen used yesterday
MIN
4.0 bullpen IP · heavy
W 6-4 · Aug 19
SD
1.3 bullpen IP
L 4-2 · Aug 19
Composite signals from ESPN standings + 21-day power rolling. NBA pace / ORtg / DRtg from ESPN core team-stats; NFL yards-per-game from nflverse aggregation. Park factors, weather, KenPom-class metrics still on the roadmap.