Players · G · Pitcher · 2026

Tyler Glasnow

Los Angeles Dodgers National League West

Age: 33
B/T: L/R
Height: 6' 8"
Weight: 225 lb
Number: #31

Born: August 23, 1993 in Newhall, CA, United States
MLB debut: July 7, 2016
Drafted: 2011, round 5
High school: William S. Hart
Salary, 2026: $32.5M

dbWAR: 17.3
IP: 74.0
ERA: 3.53
FIP: 2.74
K/9: 11.9
FIP−: 66

Tyler Glasnow is a starting pitcher for the Los Angeles Dodgers. In 2026 he struck out 98 batters over 74.0 innings across 13 appearances, 13 of them starts, going 5-2. His ERA of 3.53 is 15.6% lower than the league average of 4.18 — 10th of 18 on his team, and 170th of 538 among MLB pitchers with 20+ innings. Stripping out defence, his 2.74 FIP suggests he pitched better than his ERA shows. He missed bats on 32.1% of swings (13.6% of every pitch he threw), walked 8.7% of the batters he faced and struck out 34.0%. His 2.1 dbWAR is built from that FIP rather than runs allowed, so it credits him for what he controls and not for the defence behind him.

League context

Percentile among qualified pitchers, 2026.

FIP2.74

K/911.9

WHIP0.95

WAR2.1

WAR by season

Pitching

Standard and advanced, by season.


2026	LAD	13	13	74.0	5	2	45	29	98	25	3.53	2.74	0.95	11.9	3.0	84	66	2.1
2025	LAD	18	18	90.1	4	3	56	32	106	43	3.19	3.76	1.10	10.6	4.3	77	90	1.6
2024	LAD	22	22	134.0	9	6	92	52	168	35	3.49	2.90	0.95	11.3	2.4	86	71	3.4
2023	TB	21	21	120.0	10	7	93	47	162	37	3.52	2.91	1.08	12.2	2.8	81	67	3.4
2022	TB	2	2	6.2	0	0	4	1	10	2	1.35	2.96	0.90	13.5	2.7	34	75	0.2
2021	TB	14	14	88.0	5	2	55	26	123	27	2.66	2.77	0.93	12.6	2.8	62	65	2.5
2020	TB	11	11	57.1	5	1	43	26	91	22	4.08	3.66	1.13	14.3	3.5	92	82	1.2
2019	TB	12	12	60.2	6	1	40	12	76	14	1.78	2.26	0.89	11.3	2.1	40	50	2.2
2018	PIT/TB	45	11	111.2	2	7	89	53	136	53	4.27	4.00	1.27	11.0	4.3	103	96	0.9
2017	PIT	15	13	62.0	2	7	81	53	56	44	7.69	6.30	2.02	8.1	6.4	177	145	-0.7
2016	PIT	7	4	23.1	0	2	22	11	24	13	4.24	4.26	1.50	9.3	5.0	101	102	0.2

Batting

Standard and advanced, by season.


2021	TB	1	2	0	0	0	2	.000	.000	.000	.000	—	0.0%	100.0%	.000	-0.5	-128	-0.0
2019	TB	1	2	0	0	0	1	.000	.000	.000	.000	.000	0.0%	50.0%	.000	-0.6	-123	-0.0
2018	PIT	2	3	0	0	0	3	.000	.000	.000	.000	—	0.0%	100.0%	.000	-0.8	-125	-0.0
2017	PIT	13	23	5	3	4	7	.294	.455	.294	.000	.500	17.4%	30.4%	.361	+0.7	127	0.4
2016	PIT	5	7	1	0	0	4	.143	.143	.143	.000	.333	0.0%	57.1%	.125	-1.1	-33	-0.0

Platoon splits

How left- and right-handed hitters fare against him.

Season

Opponent batting by the side the hitter bats from, 2026. Counted from play-by-play, so totals can differ from the box-score season line by a plate appearance or two.
Split	PA	AB	H	HR	BB	SO	AVG	OBP	SLG	wOBA	K%
vs LHB	177	154	27	4	19	55	.175	.260	.305	.253	31.1%
vs RHB	111	103	18	3	6	43	.175	.227	.301	.237	38.7%

Pitch sequencing

What Tyler Glasnow throws in each count, and what he follows each pitch with. Select any cell for the breakdown.

ShowBatter

Four-seamKnuckle curveSinkerSliderCurveball

Select a count to see exactly what Tyler Glasnow throws in it.

Pitch arsenal

What he throws, how hard, how often it misses, and what hitters do with it.

Season


Four-Seam Fastball	34.7%	399	95.5	2,520	50.6%	17.7%	86	.244	.748
Knuckle Curve	21.3%	245	80.7	2,823	43.3%	50.5%	64	.156	.549
Sinker	21.3%	245	95.8	2,490	49.8%	23.1%	46	.152	.543
Slider	17.7%	203	89.9	2,635	49.3%	39.6%	41	.171	.381
Curveball	5.0%	57	83.8	2,866	43.9%	65.2%	20	.000	.000

Tyler Glasnow's arsenal by usage. Velocity is average release speed in mph, spin in rpm, and whiff rate is misses per swing — the cleanest single measure of whether a pitch beats hitters. BAA and OPS are what hitters did against each pitch, credited to the one that ended the plate appearance, and are left blank under 15 at-bats.

Head to head

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Similar players

Nearest 2026 seasons by command, run prevention and role, on rate statistics rather than totals.

Jesús LuzardoPHI

ERA: 2.97
FIP: 2.78
SO: 221
WAR: 5.3

Zack WheelerPHI

ERA: 3.06
FIP: 3.34
SO: 188
WAR: 3.6

Reid DetmersLAA

ERA: 3.36
FIP: 3.02
SO: 211
WAR: 4.5

Jared JonesPIT

ERA: 3.87
FIP: 3.30
SO: 118
WAR: 2.3

How these are computed

wOBA uses linear weights measured from this season's own play-by-play rather than published constants, and wRC+ is park-adjusted against that same league. dbWAR is our own open implementation — not fWAR or bWAR — and the full derivation, including its simplifications, is on the methodology page.