Tyler Myrick

P Richmond Flying Squirrels

Age 29 RHP 5'11" / 219 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	25	MIX2 levels	46	51	1.24	3.00	22.7%	7.9%	—	K 17.9% · BB 8.8% · FIP 3.70
2024	26	MIX2 levels	47	62	4.06	3.23	24.3%	9.2%	—	K 20.3% · BB 8.9% · FIP 3.63
2025	27	MIX2 levels	42	59	4.88	5.02	15.7%	8.2%	—	K 12.9% · BB 8.4% · FIP 5.32
2027PROJ	29	MLBSF	66	69	5.15	5.15	14.0%	9.1%	-0.5
2028PROJ31% MLB	30	MLBSF	19	20	5.17	5.24	14.5%	9.4%	-0.2
2029PROJ51% MLB	31	MLBSF	30	31	5.26	5.37	14.8%	9.7%	-0.3

Next 3 projected WAR -0.9Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control60Command40

CompsEder Llamas (age 29) · Angel Castro (age 32) · Esteban Haro (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131123vR 115

ERA5.15

FIP5.15

K%14.0%

BB%9.1%

K-BB%4.9%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL6060

CMD4040

K†3030

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)
2021	23	ROK MLE	ACL Giants Orange	8	0	7	35	16	1	1	0%	0.9	45.7%	2.9%	42.9%	2.9%	6.43	1.17	—
2021	23	ROK RAW	ACL Giants Orange	8	0	7	35	16	1	1	0%	0.9	45.7%	2.9%	42.9%	2.9%	6.43	0.81	—
2022	24	MIX MLE	2 levels	38	0	41	181	41	15	1	0%	1.1	15.8%	9.0%	6.9%	0.8%	2.85	3.36	—
2022	24	MIX RAW	2 levels	38	0	41	181	41	15	1	0%	1.1	22.7%	8.3%	14.4%	0.6%	2.85	2.51	—
2023	25	MIX MLE	2 levels	46	0	51	203	46	16	3	0%	1.1	17.9%	8.8%	9.0%	1.8%	1.24	3.70	—
2023	25	MIX RAW	2 levels	46	0	51	203	46	16	3	0%	1.1	22.7%	7.9%	14.8%	1.5%	1.24	3.00	—
2024	26	MIX MLE	2 levels	47	0	62	272	66	25	5	0%	1.3	20.3%	8.9%	11.5%	2.0%	4.06	3.63	—
2024	26	MIX MLE	2 levels	47	0	62	272	66	25	5	0%	1.3	20.3%	8.9%	11.5%	2.0%	4.06	3.63	—
2024	26	MIX RAW	2 levels	47	0	62	272	66	25	5	0%	1.3	24.3%	9.2%	15.1%	1.8%	4.06	3.23	—
2025	27	MIX MLE	2 levels	42	0	59	255	40	21	10	0%	1.4	12.9%	8.4%	4.5%	4.1%	4.88	5.32	—
2025	27	MIX MLE	2 levels	42	0	59	255	40	21	10	0%	1.4	12.9%	8.4%	4.5%	4.1%	4.88	5.32	—
2025	27	MIX RAW	2 levels	42	0	59	255	40	21	10	0%	1.4	15.7%	8.2%	7.5%	3.9%	4.88	5.02	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	SF	66	0	69	291	41	26	9	0%	1.0	14.0%	9.1%	4.9%	3.1%	5.15	5.15	-0.5
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	SF	61	0	64	272	40	26	9	0%	1.1	14.5%	9.4%	5.2%	3.3%	5.17	5.24	-0.5
2029	31	MLB MLE	SF	57	0	60	254	38	25	9	0%	1.1	14.8%	9.7%	5.1%	3.5%	5.26	5.37	-0.5
2028	30	MLB CTX	SF	19	0	20	84	12	8	3	0%	1.1	14.5%	9.4%	5.2%	3.3%	5.17	5.24	-0.2
2029	31	MLB CTX	SF	30	0	31	131	19	13	5	0%	1.0	14.8%	9.7%	5.1%	3.5%	5.26	5.37	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		49	0	51	216	32	21	7	0%	1.0	14.7%	9.6%	5.1%	3.4%	5.22	4.94	-0.2
/ 200 IP	—	RAW		190	0	200	844	125	82	27	0%	1.1	14.7%	9.6%	5.1%	3.4%	5.22	4.94	-0.9
Career	—	MLE		181	0	220	946	169	81	22	0%	1.2	17.9%	8.5%	9.4%	2.3%	3.48	3.96	-1.1
/ 200 IP	—	MLE		165	0	200	860	154	73	20	0%	1.2	17.9%	8.5%	9.4%	2.3%	3.48	3.96	-1.8

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 Myrick (OGILVIE)	—	—	5.15	14.0%	9.1%	3.1%	—	5.30	14.7%	5.1%	125	+0.15	—	—	—
Eder Llamas R 2015 · 4.84 FIP	29	SU	4.84	12.3%	8.8%	3.0%	.261	3.64	11.3%	4.6%	120	-1.20	3.23	171	91
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	87
Esteban Haro R 2015 · 4.14 FIP	29	SU	4.14	11.6%	8.4%	1.7%	.302	4.25	15.6%	7.8%	78	+0.11	3.76	164	85
Luis Angel Daniel R 2015 · 4.47 FIP	30	SU	4.47	9.9%	6.9%	2.4%	.292	4.36	11.6%	2.4%	107	-0.11	4.16	156	84
Santiago Casilla R 2009 · 4.44 FIP	29	SU	4.44	15.0%	9.4%	2.6%	.324	3.29	22.1%	13.0%	170	-1.15	2.76	647	84
Jose Casilla R 2016 · 4.65 FIP	27	SU	4.65	13.0%	8.0%	3.0%	.314	—	—	—	—	—	3.06	104	83
Drew Hayes R 2016 · 3.99 FIP	28	SU	3.99	13.8%	10.1%	1.4%	.302	—	—	—	—	—	3.35	117	83
Willie Eyre R 2007 · 4.53 FIP	29	SU	4.53	13.7%	9.1%	2.6%	.306	2.87	11.1%	5.5%	18	-1.66	2.87	164	83
Ryan Doolittle R 2016 · 4.38 FIP	28	SU	4.38	13.9%	7.1%	2.8%	.269	—	—	—	—	—	4.03	101	83
Jesus Adrian Castillo R 2015 · 4.37 FIP	31	SU	4.37	9.8%	9.5%	1.6%	.307	3.52	13.2%	7.9%	80	-0.85	2.23	173	81
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	81
Beck Wheeler R 2017 · 5.40 FIP	28	SU	5.40	15.3%	12.2%	3.7%	.347	—	—	—	—	—	3.46	173	80
Brian Bass R 2009 · 4.70 FIP	27	SU	4.70	13.5%	9.8%	2.8%	.321	—	—	—	—	—	4.70	176	80
Lance Carter R 2004 · 4.95 FIP	29	SU	4.95	10.7%	6.2%	3.6%	.243	5.11	9.1%	1.9%	69	+0.16	3.63	248	80
Grant Black R 2023 · 5.49 FIP	29	SU	5.49	15.9%	11.3%	4.2%	.352	—	—	—	—	—	4.46	215	79
Jason Boyd R 2002 · 5.81 FIP	29	SU	5.81	13.7%	10.7%	4.6%	.290	4.74	15.0%	3.7%	65	-1.07	3.68	128	79
Adrian Garza R 2017 · 4.47 FIP	29	SU	4.47	16.0%	7.0%	3.4%	.351	5.18	9.7%	4.1%	113	+0.71	3.94	229	79
Bo Schultz R 2015 · 4.30 FIP	29	SU	4.30	18.3%	7.9%	3.2%	.218	3.49	15.1%	8.9%	77	-0.81	2.73	141	79
David Goforth R 2018 · 4.07 FIP	29	SU	4.07	14.1%	8.6%	2.0%	.272	—	—	—	—	—	3.98	256	79
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	78

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	1.0	64	14.4%	9.4%	1.27	5.19
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Eric Gunderson ('00)	1.1	76	13.3%	8.1%	1.14	4.95
Rodney Myers ('04)	1.2	60	15.0%	10.3%	1.05	5.07
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Russ Swan ('89-'94, -2 WAR*)	1.3	89	12.3%*	9.9%*	1.13*	5.09*
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*