AI MODEL READ

LEAGUE AVG

COL vs WSH

Colorado Rockies at Washington Nationals

Wednesday, August 26, 2026

SIMULATION · ONE TRIAL, EVERY MARKET

Watch the model run this game.

One representative trial from the COL @ WSH simulation — real per-AB batter, outcome, and score progression from the spine. Every game-level market updates in lock-step with each play.

COLORADOCOL
0·0
WASHINGTONWSH
TOP 10-11 OUT

FIELD

COL DUGOUTWSH DUGOUT330395330LIVE · BETFLY

PITCH SEQUENCE

League Avg (R) vs HP

FB93.7
CV78

OUTCOME DISTRIBUTION

League Avg in this spot

HR
3%
HIT
9%
BB
9%
K
24%
OUT
55%

BATTER PROPS · LEAGUE AVG

HR YES (O0.5)
12%
HITS O0.5
40%
TOTAL BASES O1.5
24%

PITCHER PROPS · HP

KS O5.5
55%

GAME MARKETS · LIVE

updating per event

MONEYLINE

WSH to win

54%

TOTAL

Over 8.5

58%

RUN LINE

WSH -1.5

45%

TEAM TOTAL WSH

Over 4.5

52%

FIRST 5 INN

WSH wins F5

51%
LAST PLAYLeague Avg at the plate · pitch 1 of 2

event 1 / 82 · pitching

Every card on the board is a live read. As the game changes, the math changes with it — every prop, every market line, in real time. Cards turn green when they hit, red when they miss.

I · GAME-LEVEL MODEL

Win probability + total.

GAME WINNER

Washington wins

54%

5,000-TRIAL SIMULATION

II · MATCHUP BREAKDOWN

Who has the advantage tonight.

The same numbers our 5,000-trial sim ran on — starter quality, projected strikeouts, and every bat in both lineups — not opinions.

PITCHING EDGEWSH

COL STARTER

Tanner Gordon

SHAKY
4.1
PROJECTED Ks
93
PITCHING+

GO-TO PITCHES

4-Seam Fastball · 43% · 23% whiffSlider · 23% · 22% whiffChangeup · 22% · 24% whiff

WSH STARTER

Matt Waldron

AVERAGE
3.4
PROJECTED Ks
102
PITCHING+

GO-TO PITCHES

Knuckleball · 30% · 19% whiffCutter · 20% · 16% whiff4-Seam Fastball · 19% · 20% whiff

Matt Waldron grades avg (Pitching+ 102) vs Tanner Gordon grades poor (Pitching+ 93)

III · EVERY MARKET WE RAN

Swipe the whole board.

One card per hitter and pitcher, plus the game markets — the sim's own number on every line it priced, with the reasoning that produced it.

25 simulated lines · raw sim

1 / 4

COL WSH

Game Markets

COL @ WSH · full-game reads

7 MARKETS

Moneyline

WSH to win

54%

1st 5 Innings

WSH F5

45%

Game Total

Over 8.5

62%

1st 5 Total

Over 4.5

60%

Run Line

WSH -1.5

38%

Team Total

COL Over 4.5

52%

Team Total

WSH Over 4.5

54%

THE READ

The sim splits this one — 10.37 total runs with under a quarter-run between the sides.

  • Projected runs: COL 5.14, WSH 5.23
  • Tanner Gordon (COL) vs Matt Waldron (WSH)
  • Run on league-average lineups — refreshes when lineups post
TG

Tanner Gordon

COL SP · vs. WSH

SP

Strikeouts

5+ Ks

39%

Strikeouts

6+ Ks

22%

Strikeouts

7+ Ks

11%

Strikeouts

8+ Ks

5%

Strikeouts

9+ Ks

2%

Outs Recorded

15+ outs

83%

Outs Recorded

18+ outs

49%

Hits Allowed

5+ hits

75%

Hits Allowed

6+ hits

64%

THE READ

Middle-of-the-road strikeout projection at 4.1 Ks.

  • Sim projects 4.1 strikeouts
  • 39% to reach 5+ against WSH
MW

Matt Waldron

WSH SP · vs. COL

SP

Strikeouts

5+ Ks

25%

Strikeouts

6+ Ks

12%

Strikeouts

7+ Ks

5%

Strikeouts

8+ Ks

1%

Strikeouts

9+ Ks

0%

Outs Recorded

15+ outs

76%

Outs Recorded

18+ outs

31%

Hits Allowed

5+ hits

67%

Hits Allowed

6+ hits

55%

THE READ

Low-strikeout projection at 3.4 Ks — the ladder thins out fast above the first rung.

  • Sim projects 3.4 strikeouts
  • 25% to reach 5+ against COL

BATTER CARDS
UNLOCK WHEN LINEUPS POST

The sim can't run a hitter until it knows he's in the lineup. Clubs post about two hours before first pitch, and every bat gets a card with HR, hits, total bases and RBI.

IV · METHODOLOGY

How this read was built.

  • Simulation. 5,000 Monte Carlo trials of this game using real play-by-play data, confirmed lineups, pitcher quality, bullpen depth, defensive runs saved, catcher framing, umpire K-zones, and per-batter rates regressed with empirical Bayes.
  • What the number means. The share of those 5,000 trials in which the outcome happened — the model's own estimate, not a claim that a sportsbook has mispriced it. We publish it next to the reasoning that produced it and let the settlement record below speak for itself.
  • Settlement. Every read on this page is graded by Kalshi's own settlement market once the game ends. The post-game version of this page shows what was confirmed and what was missed.

DISCLOSURE

BetFly is not a sportsbook, prediction market, or wagering operator. The model reads above are sabermetric simulation output — not advice or a recommendation on whether or how to bet. See our Disclaimer for the full risk disclosure.