Bryce Tassin — OGILVIE

Bryce Tassin P Toledo Mud Hens

Age 29 RHP 6'2" / 209 lbs AAA

2026 ROS PROJECTION0 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 127119vR 111

ERA4.94

FIP4.94

K%19.8%

BB%9.5%

K-BB%10.3%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 2 IP

Grades · Contract

Scouting Grades

K†4545

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 + 2026 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 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	19.6%	10.3%	9.3%	7.5%	3.33	6.87	—
2024	27	MIX MLE	3 levels	29	4	46	199	45	21	8	14%	1.6	19.6%	10.3%	9.3%	7.5%	3.33	6.87	—
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	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	29	MLB	DET	2	0	2	8	2	1	0	0%	1.0	19.8%	9.5%	10.3%	3.5%	4.94	4.94	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	30	MLB MLE	DET	21	0	22	92	18	9	3	0%	1.0	19.8%	9.8%	10.0%	3.7%	4.99	5.06	-0.1
2027	30	MLB CTX	DET	8	0	8	34	7	3	1	0%	1.0	19.8%	9.8%	10.0%	3.7%	4.99	5.06	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	8	34	7	3	1	0%	1.0	19.8%	9.8%	10.0%	3.7%	4.99	4.68	-0.0
/ 200 IP	—	RAW		190	0	200	844	174	74	25	0%	1.1	19.8%	9.8%	10.0%	3.7%	4.99	4.68	-0.3
Career	—	MLE		149	6	231	982	160	83	28	4%	1.6	16.2%	8.4%	7.8%	2.8%	3.43	4.33	-0.1
/ 200 IP	—	MLE		129	5	200	850	138	71	24	4%	1.6	16.2%	8.4%	7.8%	2.8%	3.43	4.33	-1.2

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)	—	—	4.94	19.8%	9.5%	3.5%	—	5.06	19.8%	10.0%	22	+0.12	—	—	—
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	86
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	85
Ryan Cook R 2015 · 4.73 FIP	28	SU	4.73	16.5%	9.9%	3.2%	.297	3.96	25.1%	14.3%	50	-0.77	3.96	102	84
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	83
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	82
Pedro Beato R 2016 · 4.20 FIP	29	SU	4.20	19.2%	8.5%	3.0%	.275	3.72	18.5%	11.1%	152	-0.48	3.47	295	82
David Hernandez R 2015 · 4.40 FIP	30	SU	4.40	22.9%	7.6%	4.1%	.287	3.17	24.9%	18.4%	192	-1.23	2.60	268	81
Alexi Ogando R 2015 · 5.11 FIP	31	SU	5.11	19.1%	9.4%	4.4%	.253	3.95	17.2%	8.0%	67	-1.16	3.79	132	81
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	81
Tanner Scheppers R 2015 · 4.37 FIP	28	SU	4.37	17.7%	11.2%	2.5%	.263	4.86	15.7%	9.0%	48	+0.49	4.37	101	80
Kaleb Bowman R 2023 · 3.88 FIP	26	SU	3.88	22.0%	7.5%	3.1%	.333	4.55	17.5%	6.5%	168	+0.67	3.88	202	80
Edwin Jackson R 2015 · 3.77 FIP	31	SU	3.77	17.5%	8.8%	1.9%	.244	4.71	17.6%	7.8%	377	+0.94	3.77	521	80
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	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
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	79
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	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
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	79
Gregory Infante R 2016 · 4.47 FIP	29	SU	4.47	19.0%	12.3%	2.6%	.333	3.43	22.5%	15.8%	120	-1.04	2.97	230	78
Javy Guerra R 2016 · 4.29 FIP	30	SU	4.29	21.3%	13.9%	2.3%	.303	3.95	19.5%	13.0%	193	-0.34	2.95	260	78