Tyler Anderson

P Los Angeles Angels

Age 37 LHP 6'2" / 220 lbs MLB peak 0.2 · 2027

Overview

MLBSP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR
2023	33	MLBLAA	27	25	141	5.43	4.60	18.9%	10.0%	0.5
2024	34	MLBLAA	31	31	179	3.81	4.44	18.6%	9.3%	1.0
2025	35	MLBLAA	26	26	136	4.56	5.41	17.4%	8.8%	-0.8
2027PROJ	37	MLBLAA	21	21	126	4.79	5.27	16.6%	9.0%	-0.5
2028PROJ	38	MLBLAA	18	18	108	5.39	5.76	15.4%	9.7%	-1.0
2029PROJ	39	MLBLAA	16	16	93	5.87	6.19	14.3%	10.4%	-1.2

Last 3 seasons WAR 0.7 · Next 3 projected WAR -2.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

Whiff%48

xwOBA vs22

K%17

FB Velo10

CompsArturo Lopez (age 36) · Jason Lane (age 38) · Jorge Castillo (age 37)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 115123vR 131

ERA4.79

FIP5.27

K%16.6%

BB%9.0%

K-BB%7.5%

Proj IP126

Value2027 · WAR

Runs saved vs league avg · 126 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

K†4040

Statcast Percentiles

FB Velo

p1089.3

Whiff%

p4825.0%

p1717.4%

xwOBA vs

p220.345

CH+1.5 (34%)

SI (4%)

SL (3%)

CT-8.6 (21%)

FB-8.7 (42%)

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2016	26	MIX MLE	4 levels	25	25	145	605	129	39	13	100%	5.8	20.2%	5.9%	14.3%	2.1%	3.29	3.30	+2.9
2016	26	MIX RAW	4 levels	25	25	145	605	129	39	13	100%	5.8	21.3%	6.4%	14.9%	2.1%	3.29	3.29	+2.9
2017	27	MIX MLE	2 levels	21	17	98	413	94	30	16	81%	4.7	22.4%	7.3%	15.1%	3.4%	4.76	4.02	+1.0
2017	27	MIX RAW	2 levels	21	17	98	413	94	30	16	81%	4.7	22.8%	7.3%	15.5%	3.9%	4.76	4.22	+0.8
2018	28	MLB MLE	Colorado Rockies	32	32	176	737	164	58	30	100%	5.5	22.3%	7.9%	14.4%	3.6%	4.55	4.20	+1.5
2018	28	MLB RAW	Colorado Rockies	32	32	176	737	164	58	30	100%	5.5	22.3%	7.9%	14.4%	4.1%	4.55	4.44	+0.9
2019	29	MLB MLE	Colorado Rockies	5	5	21	106	23	11	8	100%	4.1	21.7%	10.4%	11.3%	6.7%	11.76	6.26	-0.3
2019	29	MLB RAW	Colorado Rockies	5	5	21	106	23	11	8	100%	4.1	21.7%	10.4%	11.3%	7.5%	11.76	7.50	-0.6
2020	30	MLB MLE	San Francisco Giants	13	11	60	260	41	25	5	85%	4.6	15.8%	9.6%	6.2%	2.1%	4.37	4.13	+0.5
2020	30	MLB RAW	San Francisco Giants	13	11	60	260	41	25	5	85%	4.6	15.8%	9.6%	6.2%	1.9%	4.37	4.07	+0.6
2021	31	MLB MLE	Seattle Mariners	31	31	167	703	134	36	27	100%	5.4	19.1%	5.1%	13.9%	3.9%	4.53	4.30	+1.2
2021	31	MLB RAW	Seattle Mariners	31	31	167	703	134	36	27	100%	5.4	19.1%	5.1%	13.9%	3.8%	4.53	4.24	+1.3
2022	32	MLB MLE	Los Angeles Dodgers	30	28	179	707	138	34	14	93%	6.0	19.5%	4.8%	14.7%	1.9%	2.57	3.10	+4.0
2022	32	MLB RAW	Los Angeles Dodgers	30	28	179	707	138	34	14	93%	6.0	19.5%	4.8%	14.7%	2.0%	2.57	3.14	+3.9
2023	33	MLB MLE	Los Angeles Angels	27	25	141	629	119	63	20	93%	5.2	18.9%	10.0%	8.9%	3.1%	5.43	4.48	+0.7
2023	33	MLB RAW	Los Angeles Angels	27	25	141	629	119	63	20	93%	5.2	18.9%	10.0%	8.9%	3.2%	5.43	4.60	+0.5
2024	34	MLB MLE	Los Angeles Angels	31	31	179	765	142	71	24	100%	5.8	18.6%	9.3%	9.3%	3.1%	3.81	4.40	+1.1
2024	34	MLB MLE	Los Angeles Angels	31	31	179	765	142	71	24	100%	5.8	18.6%	9.3%	9.3%	3.1%	3.81	4.40	+1.1
2024	34	MLB RAW	Los Angeles Angels	31	31	179	765	142	71	24	100%	5.8	18.6%	9.3%	9.3%	3.1%	3.81	4.44	+1.0
2025	35	MLB MLE	Los Angeles Angels	26	26	136	599	104	53	28	100%	5.2	17.4%	8.8%	8.5%	4.6%	4.56	5.27	-0.6
2025	35	MLB MLE	Los Angeles Angels	26	26	136	599	104	53	28	100%	5.2	17.4%	8.8%	8.5%	4.6%	4.56	5.27	-0.6
2025	35	MLB RAW	Los Angeles Angels	26	26	136	599	104	53	28	100%	5.2	17.4%	8.8%	8.5%	4.7%	4.56	5.41	-0.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			231	223	1259	5346	1045	403	184	97%	5.5	19.5%	7.5%	12.0%	3.4%	4.30	4.30	+8.9
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	37	MLB	LAA	21	21	126	532	88	48	20	100%	6.0	16.6%	9.0%	7.5%	3.7%	4.79	5.27	-0.5
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	38	MLB MLE	LAA	18	18	108	458	71	45	19	100%	6.0	15.4%	9.7%	5.7%	4.2%	5.34	5.71	-1.0
2029	39	MLB MLE	LAA	16	16	93	394	56	41	18	100%	5.8	14.3%	10.4%	3.8%	4.6%	5.82	6.14	-1.2
2028	38	MLB CTX	LAA	18	18	108	456	70	44	19	100%	6.0	15.4%	9.7%	5.7%	4.3%	5.39	5.76	-1.0
2029	39	MLB CTX	LAA	16	16	93	393	56	41	19	100%	5.8	14.3%	10.4%	3.8%	4.7%	5.87	6.19	-1.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		265	257	1461	6197	1172	489	222	97%	5.5	18.9%	7.9%	11.0%	3.6%	4.48	4.47	+7.3
/ 200 IP	—	RAW		36	35	200	849	160	67	30	97%	5.5	18.9%	7.9%	11.0%	3.6%	4.48	4.47	+1.0
Career	—	MLE		241	231	1302	5524	1080	417	178	96%	5.4	19.5%	7.5%	12.0%	3.2%	4.25	4.17	+6.4
/ 200 IP	—	MLE		37	35	200	849	166	64	27	96%	5.4	19.5%	7.5%	12.0%	3.2%	4.25	4.17	+0.9

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Tyler Anderson (OGILVIE)	—	—	5.27	16.6%	9.0%	3.7%	—	5.91	14.9%	4.8%	202	+0.64	—	—	—
Arturo Lopez L 2019 · 5.46 FIP	36	SP	5.46	12.2%	6.8%	4.6%	.320	—	—	—	—	—	4.34	445	58
Jason Lane L 2015 · 5.56 FIP	38	SP	5.56	8.4%	6.2%	4.3%	.307	—	—	—	—	—	5.56	164	53
Jorge Castillo L 2019 · 4.91 FIP	37	SP	4.91	19.6%	8.1%	4.5%	.316	—	—	—	—	—	4.50	408	53
Juan Antonio Pena L 2015 · 4.20 FIP	37	SP-	4.20	13.6%	9.9%	1.8%	.287	—	—	—	—	—	4.20	149	52
Oscar Rivera L 2017 · 5.80 FIP	36	SP	5.80	9.8%	7.8%	4.6%	.252	—	—	—	—	—	3.68	237	43
Chris Michalak L 2006 · 5.71 FIP	35	SP-	5.71	6.2%	8.6%	3.7%	.273	—	—	—	—	—	4.71	186	40
Jarrett Grube R 2017 · 4.41 FIP	35	SP	4.41	15.8%	8.1%	3.0%	.296	—	—	—	—	—	3.75	393	30
Masato Yoshii R 2002 · 4.15 FIP	37	SP-	4.15	13.4%	5.4%	2.7%	.295	—	—	—	—	—	4.15	757	29
Pablo Ortega R 2015 · 4.52 FIP	38	SP	4.52	8.6%	7.3%	2.2%	.291	4.24	11.5%	6.0%	236	-0.28	4.01	375	28
Jose Oyervides R 2019 · 5.66 FIP	37	SP	5.66	16.3%	11.2%	4.6%	.320	—	—	—	—	—	3.01	407	27
Walter Silva R 2015 · 4.15 FIP	38	SP	4.15	14.8%	7.4%	2.5%	.311	3.91	10.4%	3.7%	209	-0.24	3.67	453	27
Ivan Maldonado R 2016 · 5.41 FIP	36	SP	5.41	6.4%	9.7%	3.0%	.325	—	—	—	—	—	4.60	172	24
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	6

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,853 starter careers (497 from 1990-2025 + 1,356 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	7.9	122	18.7%	8.2%	1.39	4.50
Craig Swan ('73-'84, 10 WAR*)	6.2	124	18.8%*	7.1%*	1.36*	4.46*
Dennis Rasmussen ('83-'95, 10 WAR*)	7.3	146	17.7%*	8.3%*	1.41*	4.53*
Mark Gardner ('89-'01, 7 WAR*)	8.8	136	19.6%*	8.0%*	1.44*	4.84*
Colby Lewis ('16)	6.1	135	18.4%	7.2%	1.32	4.70
Jeremy Hellickson ('19)	6.3	127	17.4%	7.2%	1.30	4.13
Chris Tillman ('18)	5.7	114	17.3%	8.9%	1.29	4.57