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%	1.3
2024	34	MLBLAA	31	31	179	3.81	4.44	18.6%	9.3%	2.0
2025	35	MLBLAA	26	26	136	4.56	5.41	17.4%	8.8%	-0.0
2026	36	No MLB games played
2027PROJ	37	MLBLAA	21	21	126	4.79	5.27	16.6%	9.0%	0.2
2028PROJ	38	MLBLAA	8	8	50	5.39	5.76	15.4%	9.7%	-0.2
2029PROJ	39	MLBLAA	3	3	19	5.87	6.19	14.3%	10.4%	-0.2

Last 3 seasons WAR 3.3 · Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

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

Statcast · Contract

Statcast Percentiles

FB Velo

p1089.3

Whiff%

p4825.0%

p1717.4%

xwOBA vs

p220.345

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 the standard WAR scale.

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	+3.8
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	+3.8
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	+1.6
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	+1.4
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	+2.5
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	+2.0
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	-0.2
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	-0.5
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	+0.9
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	+0.9
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	+2.2
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	+2.3
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	+5.1
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	+5.0
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	+1.5
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	+1.3
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	+2.1
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	+2.1
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	+2.0
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	+0.2
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	+0.2
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	-0.0
▸ 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	+16.3
▸ 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	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	38	MLB MLE	LAA	8	8	50	209	32	20	9	100%	6.2	15.4%	9.7%	5.7%	4.2%	5.34	5.71	-0.2
2029	39	MLB MLE	LAA	3	3	19	81	12	8	4	100%	6.4	14.3%	10.4%	3.8%	4.6%	5.82	6.14	-0.2
2028	38	MLB CTX	LAA	8	8	50	211	33	21	9	100%	6.2	15.4%	9.7%	5.7%	4.3%	5.39	5.76	-0.2
2029	39	MLB CTX	LAA	3	3	19	80	11	8	4	100%	6.3	14.3%	10.4%	3.8%	4.7%	5.87	6.19	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		242	234	1328	5636	1089	432	197	97%	5.5	19.3%	7.7%	11.7%	3.5%	4.36	4.36	+16.2
/ 200 IP	—	RAW		37	35	200	849	164	65	30	97%	5.5	19.3%	7.7%	11.7%	3.5%	4.36	4.36	+2.4
Career	—	MLE		241	231	1302	5524	1080	417	178	96%	5.4	19.5%	7.5%	12.0%	3.2%	4.25	4.17	+15.9
/ 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	+2.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2017 AAAAlbuquerque Isotopes · 12 IPFIP 1.94 → 2.25 (+0.31)K% 25.5% → 22.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.49%	—	×0.880	22.43%
BB% (unintentional) /BF	7.84%	—	×1.050	8.24%
HR / BF /BF	0.00%	÷1.202	×1.100	0.00%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 140).

Result: FIP 1.94 → 2.25, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2016 AAAAlbuquerque Isotopes · 17 IPFIP 3.41 → 3.58 (+0.18)K% 18.8% → 16.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.84%	—	×0.880	16.58%
BB% (unintentional) /BF	8.70%	—	×1.050	9.13%
HR / BF /BF	1.45%	÷1.202	×1.100	1.33%

Result: FIP 3.41 → 3.58, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2016 AAHartford Yard Goats · 10 IPFIP 1.41 → 1.92 (+0.50)K% 27.5% → 22.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.50%	—	×0.810	22.28%
BB% (unintentional) /BF	5.00%	—	×1.100	5.50%
HR / BF /BF	0.00%	÷1.094	×1.200	0.00%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 119).

Result: FIP 1.41 → 1.92, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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)	—	—	—	—	—	3.7%	—	5.83	15.1%	5.2%	69	+0.56	—	—	—
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: 927 starter careers (497 from 1990-2025 + 430 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	7.3	112	19.1%	8.0%	1.36	4.39
Chris Capuano ('16)	7.1	119	19.5%	7.5%	1.23	4.38
Derek Holland ('21)	7.3	113	19.7%	8.4%	1.35	4.62
Chase Anderson ('24)	5.5	101	19.7%	8.1%	1.48	4.41
Larry McWilliams ('78-'90, 10 WAR*)	7.8	130	19.0%*	8.1%*	1.24*	4.56*
Dennis Bennett ('62-'68, 7 WAR*)	4.3	123	19.8%*	8.1%*	1.41*	4.40*
Ken Brett ('67-'81, 10 WAR*)	7.6	127	18.2%*	8.4%*	1.12*	4.56*