MLB Kauffman Stadium Final

San Francisco Giants vs Kansas City Royals Prediction

Final score: Giants 2–3 Royals ·Engine pick: San Francisco Giants to win ✗ Missed

Giants 48-67 · L2
2 – 3
Royals 47-67 · W1
Wed 22 Jul 2026 · 00:40 UK (7:40 PM ET)

Final Result & Grading

Final score
2–3
SF at KC
Winner
Royals
Engine pick
San Francisco Giants
✗ Missed
Total runs
5
projected 9.4

Graded 2026-07-22 11:00:11 · engine mlb-sim-1.0.

Pre-Game Win Probabilities

Giants Royals
51.5% 48.5%

Cyan is the model’s favourite, red the underdog.

Engine pick
San Francisco Giants
51.5% to win
Confidence
Coin Flip
51/100
Projected total
9.4
runs
First five
Royals
43% · 3-way, ties possible
Market (de-vigged)
49.0%
KC implied

Starting Pitchers

Giants
Tyler Mahle
Royals
Luinder Avila

Recent Form

Giants L L W L W W W L L L 4-6 last 10
Royals W L L L L L W W L W 4-6 last 10

Oldest on the left, most recent on the right — hover any result for the opponent and score.

Team Stats · 2026 Season

GiantsRoyals
Record 48-67 47-67
Win % .417 .412
Division NL West AL Central
Division rank 4th 5th
Games back 21.0 13.0
Last 10 4-6 4-6
Streak L2 W1
Home record 26-27 27-27
Away record 22-40 20-40
Runs scored/gm 4.17 4.17
Runs allowed/gm 4.65 5.07
Run differential -56 -103

How The Model Sees It

The engine makes San Francisco Giants a 51.5% pick to win — the thinnest of leans, barely past a coin flip. Baseball punishes certainty: the best team in the league still loses roughly four nights in ten. It is filed as coin flip, the bottom tier: the inputs point in different directions and the engine is not claiming to know. That is published rather than dressed up.

Giants come in 4-6 over their last 10, scoring 3.70 and conceding 4.20 runs a game. Royals are 4-6 in their last 10 at 4.60 scored and 7.30 allowed. Neither side arrives with momentum the other lacks.

On the mound it is Tyler Mahle for Giants against Luinder Avila for Royals — the largest single input on this page. One start moves a baseball projection further than a full lineup change would, which is why the engine waits for both probables before scoring a game.

Season run differential reads -56 for Giants and -103 for Royals. Per game that is 4.17 scored against 4.65 allowed, versus 4.17 and 5.07. Giants are clearly the better side on the season — and differential is a more honest measure than record, because it survives the luck in one-run games.

Royals are 27-27 at home, Giants 22-40 on the road. Home advantage in baseball is real but small — historically worth something near 54%, not the lopsided edge it carries elsewhere — so the splits inform this projection without dominating it. The ballpark matters more than the venue: run environment varies more between parks than between lineups.

The projected total is 9.4 runs — a middling run environment. Through the first five innings, before the bullpens take over, it favours Royals at 43% — under half because the first five is a three-way market: five innings can finish level, and that outcome takes a share of the book. Model and de-vigged market land within a couple of points of each other, which is a calibration check passed rather than an opportunity found — worth saying plainly.

This pick was published before first pitch and graded against the final score above — right or wrong, it stays on the page.

8th Day Engine · mlb-sim-1.0

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Modelled probabilities from a deterministic engine, not betting advice. Every pick is published before the game and graded after it on the accuracy page.