Bryce Tassin

P Toledo Mud Hens

Age 30 RHP 6'2" / 209 lbs AAA

Overview

AAAPROSPECT

MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	25	A+DET	38	1	56	4.85	2.97	19.2%	6.5%	—	K 14.8% · BB 7.5% · FIP 3.80
2023	26	MIX2 levels	37	1	59	3.81	3.34	18.7%	7.6%	—	K 14.9% · BB 8.5% · FIP 3.93
2024	27	MIX3 levels	29	4	46	3.33	4.77	22.6%	10.6%	—	K 20.3% · BB 10.3% · FIP 6.81
2027PROJ	30	MLBDET	18	0	19	4.59	4.59	22.1%	9.6%	-0.0
2028PROJ37% MLB	31	MLBDET	7	0	7	4.68	4.76	21.9%	9.9%	-0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsJoe Nelson (age 31) · Neil Wagner (age 29) · Jim Miller (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 120112vR 104

ERA4.59

FIP4.59

K%22.1%

BB%9.6%

K-BB%12.6%

Proj IP19

Value2027 · WAR

Runs saved vs league avg · 19 IP

Grades · Contract

Scouting Grades

K†5555

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)
2019	22	ROK MLE	FCL Tigers East	6	0	14	54	10	4	1	0%	2.3	12.6%	9.3%	3.3%	2.6%	1.32	4.63	—
2019	22	ROK RAW	FCL Tigers East	6	0	14	54	10	4	1	0%	2.3	18.5%	7.4%	11.1%	1.9%	1.32	3.47	—
2021	24	MIX MLE	2 levels	39	0	57	222	54	14	2	0%	1.5	17.4%	7.3%	10.0%	0.9%	2.22	3.03	—
2021	24	MIX RAW	2 levels	39	0	57	222	54	14	2	0%	1.5	24.3%	6.3%	18.0%	0.9%	2.22	2.39	—
2022	25	A+ MLE	West Michigan Whitecaps	38	1	56	245	47	16	3	3%	1.5	14.8%	7.5%	7.3%	1.8%	4.85	3.80	—
2022	25	A+ RAW	West Michigan Whitecaps	38	1	56	245	47	16	3	3%	1.5	19.2%	6.5%	12.7%	1.2%	4.85	2.97	—
2023	26	MIX MLE	2 levels	37	1	59	262	49	20	4	3%	1.6	14.9%	8.5%	6.4%	1.8%	3.81	3.93	—
2023	26	MIX RAW	2 levels	37	1	59	262	49	20	4	3%	1.6	18.7%	7.6%	11.1%	1.5%	3.81	3.34	—
2024	27	MIX MLE	3 levels	29	4	46	199	45	21	8	14%	1.6	20.3%	10.3%	10.0%	7.5%	3.33	6.81	—
2024	27	MIX MLE	3 levels	29	4	46	199	45	21	8	14%	1.6	20.3%	10.3%	10.0%	7.5%	3.33	6.81	—
2024	27	MIX RAW	3 levels	29	4	46	199	45	21	8	14%	1.6	22.6%	10.6%	12.1%	4.0%	3.33	4.77	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	DET	18	0	19	80	18	8	3	0%	1.1	22.1%	9.6%	12.6%	3.2%	4.59	4.59	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	DET	19	0	20	84	18	8	3	0%	1.1	21.9%	9.9%	12.0%	3.4%	4.68	4.76	-0.0
2028	31	MLB CTX	DET	7	0	7	30	6	3	1	0%	1.0	21.9%	9.9%	12.0%	3.4%	4.68	4.76	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	7	3	1	0%	1.1	21.9%	9.9%	12.0%	3.4%	4.68	4.38	+0.0
/ 200 IP	—	RAW		190	0	200	844	190	82	27	0%	1.1	21.9%	9.9%	12.0%	3.4%	4.68	4.38	+0.4
Career	—	MLE		149	6	231	982	161	83	28	4%	1.6	16.4%	8.4%	8.0%	2.8%	3.43	4.32	-0.0
/ 200 IP	—	MLE		129	5	200	850	139	71	24	4%	1.6	16.4%	8.4%	8.0%	2.8%	3.43	4.32	-0.5

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
Bryce Tassin (OGILVIE)	—	—	4.59	22.1%	9.6%	3.2%	—	4.76	21.9%	12.0%	20	+0.17	—	—	—
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	87
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	87
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	84
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	82
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	80
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	80
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	79
Esteban Haro R 2016 · 4.55 FIP	30	SU	4.55	17.1%	10.2%	2.9%	.338	3.83	11.6%	6.3%	75	-0.72	3.76	164	78
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	77
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	77
Jose Manuel Lopez R 2015 · 5.21 FIP	30	SU	5.21	18.6%	7.6%	4.9%	.373	3.56	18.5%	9.3%	93	-1.65	3.50	170	76
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	76
Kiko Calero R 2005 · 3.51 FIP	30	SU	3.51	22.7%	7.0%	2.6%	.252	3.23	23.3%	13.9%	99	-0.28	2.27	298	75
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	75
Jeremy Fikac R 2004 · 4.91 FIP	29	SU	4.91	19.6%	8.0%	4.5%	.276	—	—	—	—	—	3.10	136	75
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	75
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	75
Mike Broadway R 2017 · 4.73 FIP	30	SU	4.73	18.3%	10.2%	3.4%	.245	4.65	23.0%	12.4%	49	-0.08	1.74	195	74
Jhan Mariñez R 2018 · 4.09 FIP	29	SU	4.09	21.2%	7.9%	3.2%	.331	—	—	—	—	—	3.16	253	74
Blake Smith R 2016 · 3.59 FIP	28	SU	3.59	22.4%	8.6%	2.4%	.307	—	—	—	—	—	3.17	124	74