Taylor Dollard

P Everett AquaSox

Age 28 RHP 6'3" / 195 lbs A+ peak 0.2 · 2027

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	24	AAASEA	3	3	8	7.56	8.50	22.2%	8.3%	—	K 22.2% · BB 8.3% · FIP 8.38
2025	26	MIX2 levels	19	18	69	4.54	4.34	17.5%	5.5%	—	K 13.0% · BB 6.5% · FIP 5.18
2026	27	A+SEA	21	20	93	5.59	4.56	19.6%	7.3%	—	K 15.1% · BB 8.4% · FIP 5.54
2027PROJ	28	MLBSEA	12	12	69	5.51	5.51	12.4%	8.7%	-0.5
2028PROJ30% MLB	29	MLBSEA	3	3	20	5.47	5.52	13.3%	9.0%	-0.1
2029PROJ51% MLB	30	MLBSEA	5	5	32	5.52	5.61	13.7%	9.3%	-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

Stuff30Control60Command35

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsTravis Smith (age 29) · Robert Ellis (age 30) · Andres Ivan Meza (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 138130vR 122

ERA5.51

FIP5.51

K%12.4%

BB%8.7%

K-BB%3.7%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL6060

CMD3535

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	22	MIX MLE	2 levels	19	18	105	459	133	24	14	95%	5.5	21.9%	6.1%	15.8%	3.7%	5.14	4.04	—
2021	22	MIX RAW	2 levels	19	18	105	459	133	24	14	95%	5.5	29.0%	5.2%	23.7%	3.1%	5.14	2.99	—
2022	23	AA MLE	Arkansas Travelers	27	27	144	572	131	31	9	100%	5.3	18.6%	6.0%	12.6%	2.1%	2.25	3.43	—
2022	23	AA RAW	Arkansas Travelers	27	27	144	572	131	31	9	100%	5.3	22.9%	5.4%	17.5%	1.6%	2.25	2.74	—
2023	24	AAA MLE	Tacoma Rainiers	3	3	8	36	8	3	4	100%	2.8	22.2%	8.3%	13.9%	11.1%	7.56	8.38	—
2023	24	AAA RAW	Tacoma Rainiers	3	3	8	36	8	3	4	100%	2.8	22.2%	8.3%	13.9%	11.1%	7.56	8.50	—
2025	26	MIX MLE	2 levels	19	18	69	309	54	17	11	95%	3.6	13.0%	6.5%	6.5%	4.3%	4.54	5.18	—
2025	26	MIX MLE	2 levels	19	18	69	309	54	17	11	95%	3.6	13.0%	6.5%	6.5%	4.3%	4.54	5.18	—
2025	26	MIX RAW	2 levels	19	18	69	309	54	17	11	95%	3.6	17.5%	5.5%	12.0%	3.6%	4.54	4.34	—
2026	27	A+ MLE	Everett AquaSox	21	20	93	413	81	30	16	95%	4.4	15.1%	8.4%	6.7%	4.8%	5.59	5.54	—
2026	27	A+ MLE	Everett AquaSox	21	20	93	413	81	30	16	95%	4.4	15.1%	8.4%	6.7%	4.8%	5.59	5.54	—
2026	27	A+ RAW	Everett AquaSox	21	20	93	413	81	30	16	95%	4.4	19.6%	7.3%	12.3%	3.9%	5.59	4.56	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	SEA	12	12	69	291	36	25	10	100%	5.8	12.4%	8.7%	3.7%	3.6%	5.51	5.51	-0.5
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	SEA	11	11	66	280	37	25	10	100%	6.0	13.3%	9.0%	4.3%	3.7%	5.47	5.52	-0.5
2029	30	MLB MLE	SEA	10	10	62	263	36	24	10	100%	6.2	13.7%	9.3%	4.4%	3.8%	5.52	5.61	-0.5
2028	29	MLB CTX	SEA	3	3	20	84	11	8	3	100%	6.7	13.3%	9.0%	4.3%	3.7%	5.47	5.52	-0.1
2029	30	MLB CTX	SEA	5	5	32	135	19	13	5	100%	6.4	13.7%	9.3%	4.4%	3.8%	5.52	5.61	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	9	52	218	30	20	8	100%	5.7	13.6%	9.2%	4.4%	3.8%	5.50	5.19	-0.2
/ 200 IP	—	RAW		33	33	200	844	116	78	31	100%	6.0	13.6%	9.2%	4.4%	3.8%	5.50	5.19	-0.7
Career	—	MLE		89	86	420	1789	317	119	66	97%	4.7	17.7%	6.7%	11.1%	3.7%	4.20	4.48	-1.0
/ 200 IP	—	MLE		42	41	200	852	151	57	31	97%	4.7	17.7%	6.7%	11.1%	3.7%	4.20	4.48	-1.5

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
Taylor Dollard (OGILVIE)	—	—	5.51	12.4%	8.7%	3.6%	—	5.56	13.5%	4.4%	128	+0.05	—	—	—
Travis Smith R 2002 · 5.28 FIP	29	SP	5.28	13.1%	8.2%	4.1%	.324	5.71	15.0%	9.0%	51	+0.43	3.67	105	87
Robert Ellis R 2001 · 4.84 FIP	30	SP	4.84	9.9%	7.7%	2.9%	.287	8.08	9.0%	-2.2%	18	+3.24	4.84	110	84
Andres Ivan Meza R 2015 · 4.45 FIP	28	SP	4.45	10.9%	5.6%	2.9%	.322	4.14	12.5%	4.0%	85	-0.31	4.14	275	82
Caleb Clay R 2015 · 4.67 FIP	27	SP	4.67	9.9%	6.9%	2.8%	.324	—	—	—	—	—	4.67	111	80
Daniel Guerrero R 2016 · 4.81 FIP	31	SP	4.81	12.4%	11.6%	2.3%	.328	4.93	11.7%	2.0%	175	+0.12	4.61	269	80
David Fletcher R 2024 · 5.67 FIP	30	SP-	5.67	7.5%	10.3%	3.5%	.294	—	—	—	—	—	5.67	100	79
Jordan Cooper R 2015 · 5.01 FIP	26	SP	5.01	9.2%	10.2%	2.5%	.305	—	—	—	—	—	5.01	106	79
Miguel Ruiz R 2015 · 5.77 FIP	29	SP-	5.77	8.8%	8.0%	4.4%	.346	5.60	10.6%	-0.4%	53	-0.17	5.60	117	79
Tyler Herron R 2016 · 4.40 FIP	29	SP	4.40	13.4%	6.9%	2.9%	.389	4.02	16.4%	7.7%	60	-0.38	4.02	117	78
Brady Rodgers R 2019 · 5.44 FIP	28	SP-	5.44	14.7%	9.0%	4.4%	.270	—	—	—	—	—	1.98	354	76
Kohei Arihara R 2021 · 6.04 FIP	28	SP	6.04	13.5%	7.3%	5.8%	.262	4.58	16.4%	9.2%	94	-1.46	4.58	135	75
Hector Galvan R 2016 · 4.99 FIP	28	SP	4.99	11.2%	8.5%	3.2%	.307	4.33	13.2%	3.1%	162	-0.66	3.59	406	75
Bryce Morrow R 2016 · 5.44 FIP	28	SP	5.44	10.1%	10.3%	3.4%	.331	—	—	—	—	—	4.31	125	73
Seth Shuman R 2024 · 5.47 FIP	26	SP	5.47	14.1%	8.0%	4.7%	.273	4.61	17.0%	11.3%	157	-0.86	3.16	357	72
Jason Forjet R 2016 · 4.48 FIP	26	SP	4.48	15.9%	5.5%	3.7%	.260	—	—	—	—	—	3.36	197	72
Angel Araiza R 2017 · 4.32 FIP	27	SP	4.32	14.9%	8.4%	2.6%	.305	—	—	—	—	—	3.40	289	72
Joe Roa R 2002 · 4.60 FIP	30	SP-	4.60	11.7%	3.7%	3.7%	.278	4.47	15.5%	9.3%	121	-0.13	4.28	258	71
Vanny Valenzuela R 2016 · 4.54 FIP	28	SP	4.54	16.3%	11.3%	2.5%	.380	6.25	10.9%	1.2%	25	+1.71	3.26	118	71
Clay Condrey R 2003 · 5.41 FIP	27	SP-	5.41	14.9%	10.1%	4.2%	.303	4.07	13.1%	7.4%	29	-1.34	3.18	250	71
Luke Hudson R 2005 · 5.54 FIP	28	SP	5.54	13.9%	12.6%	3.7%	.260	3.81	14.5%	6.1%	102	-1.73	3.81	235	71

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	66	13.1%	9.0%	1.43	5.50
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
Ricky Stone ('07)	1.3	64	15.2%	8.0%	1.55	4.68
Chuck Hartenstein ('66-'77, -1 WAR*)	1.5	59	13.7%*	7.2%*	1.50*	5.28*
Russ Swan ('89-'94, -2 WAR*)	1.3	89	12.3%*	9.9%*	1.13*	5.09*
Steve Kealey ('68-'73, -1 WAR*)	1.1	54	18.5%*	7.2%*	1.32*	5.26*