Yereny Teus

P Charleston RiverDogs

Age 23 LHP 5'10" / 157 lbs A peak 0.2 · 2029

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	21	ROKTB	11	6	34	5.08	2.95	27.8%	14.6%	—	K 18.9% · BB 18.2% · FIP 4.44
2026	22	ATB	31	0	54	2.00	1.60	38.1%	10.5%	—	K 28.2% · BB 12.4% · FIP 2.63
2027PROJ	23	MLBTB	—	—	0	4.53	4.53	26.1%	13.9%	—
2028PROJ43% MLB	24	MLBTB	36	0	38	4.40	4.33	26.2%	12.5%	0.1
2029PROJ66% MLB	25	MLBTB	43	0	45	4.29	4.22	26.3%	11.6%	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.1 / P90 0.2, comp-based) · star 0% · didn't stick 96%

CompsTommy Vail (age 25) · Ismael Guillón (age 24) · Mark Manfredi Sr. (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 103111vR 119

ERA4.53

FIP4.53

K%26.1%

BB%13.9%

K-BB%12.2%

Proj IP90

Value2027 · WAR

Runs saved vs league avg · 90 IP

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)
2023	19	ROK MLE	DSL Rays	12	10	44	177	50	17	1	83%	3.6	19.2%	12.0%	7.2%	0.8%	2.89	3.46	—
2023	19	ROK RAW	DSL Rays	12	10	44	177	50	17	1	83%	3.6	28.2%	9.6%	18.6%	0.6%	2.89	2.28	—
2024	20	ROK MLE	DSL Tampa Bay	14	12	54	207	71	17	3	86%	3.9	23.3%	10.3%	13.1%	2.1%	2.50	3.57	—
2024	20	ROK MLE	DSL Tampa Bay	14	12	54	207	71	17	3	86%	3.9	23.3%	10.3%	13.1%	2.1%	2.50	3.57	—
2024	20	ROK RAW	DSL Tampa Bay	14	12	54	207	71	17	3	86%	3.9	34.3%	8.2%	26.1%	1.4%	2.50	2.14	—
2025	21	ROK MLE	FCL Rays	11	6	34	151	42	22	1	55%	3.1	18.9%	18.2%	0.7%	1.1%	5.08	4.44	—
2025	21	ROK MLE	FCL Rays	11	6	34	151	42	22	1	55%	3.1	18.9%	18.2%	0.7%	1.1%	5.08	4.44	—
2025	21	ROK RAW	FCL Rays	11	6	34	151	42	22	1	55%	3.1	27.8%	14.6%	13.2%	0.7%	5.08	2.95	—
2026	22	A MLE	Charleston RiverDogs	31	0	54	210	80	22	1	0%	1.7	28.2%	12.4%	15.8%	0.6%	2.00	2.63	—
2026	22	A MLE	Charleston RiverDogs	31	0	54	210	80	22	1	0%	1.7	28.2%	12.4%	15.8%	0.6%	2.00	2.63	—
2026	22	A RAW	Charleston RiverDogs	31	0	54	210	80	22	1	0%	1.7	38.1%	10.5%	27.6%	0.5%	2.00	1.60	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	TB	—	—	0	—	—	—	—	—	—	26.1%	13.9%	12.2%	2.7%	4.53	4.53	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	TB	86	0	90	380	100	47	10	0%	1.0	26.2%	12.5%	13.8%	2.7%	4.40	4.33	+0.2
2029	25	MLB MLE	TB	65	0	68	288	76	33	8	0%	1.0	26.3%	11.6%	14.7%	2.7%	4.29	4.22	+0.3
2030	26	MLB MLE	TB	63	0	66	280	74	32	8	0%	1.1	26.3%	11.4%	14.9%	2.7%	4.23	4.20	+0.3
2031	27	MLB MLE	TB	61	0	64	271	71	31	8	0%	1.1	26.2%	11.3%	14.8%	2.8%	4.23	4.24	+0.2
2032	28	MLB MLE	TB	58	0	61	257	67	30	7	0%	1.1	26.1%	11.5%	14.6%	2.9%	4.28	4.32	+0.2
2033	29	MLB MLE	TB	54	0	56	238	62	28	7	0%	1.0	25.8%	11.7%	14.1%	3.0%	4.38	4.45	+0.1
2034	30	MLB MLE	TB	49	0	51	215	55	26	7	0%	1.0	25.5%	12.0%	13.5%	3.2%	4.53	4.63	-0.0
2028	24	MLB CTX	TB	36	0	38	160	42	20	4	0%	1.1	26.2%	12.5%	13.8%	2.7%	4.40	4.33	+0.1
2029	25	MLB CTX	TB	43	0	45	190	50	22	5	0%	1.0	26.3%	11.6%	14.7%	2.7%	4.29	4.22	+0.2
2030	26	MLB CTX	TB	50	0	53	224	59	25	6	0%	1.1	26.3%	11.4%	14.9%	2.7%	4.23	4.20	+0.2
2031	27	MLB CTX	TB	52	0	55	232	61	26	6	0%	1.1	26.2%	11.3%	14.8%	2.8%	4.23	4.24	+0.2
2032	28	MLB CTX	TB	51	0	54	228	59	26	7	0%	1.1	26.1%	11.5%	14.6%	2.9%	4.28	4.32	+0.1
2033	29	MLB CTX	TB	49	0	51	215	56	25	7	0%	1.0	25.8%	11.7%	14.1%	3.0%	4.38	4.45	+0.1
2034	30	MLB CTX	TB	45	0	47	198	51	24	6	0%	1.0	25.5%	12.0%	13.5%	3.2%	4.53	4.63	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		327	0	343	1450	378	169	42	0%	1.0	26.1%	11.7%	14.4%	2.9%	4.33	3.96	+2.4
/ 200 IP	—	RAW		190	0	200	844	220	98	24	0%	1.1	26.1%	11.7%	14.4%	2.9%	4.33	3.96	+1.4
Career	—	MLE		68	28	185	745	170	96	9	41%	2.7	22.8%	12.9%	9.9%	1.2%	2.91	3.45	+1.2
/ 200 IP	—	MLE		73	30	200	804	183	104	9	41%	2.7	22.8%	12.9%	9.9%	1.2%	2.91	3.45	+0.5

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.

2026 ACharleston RiverDogs · 54 IPFIP 1.47 → 2.63 (+1.15)K% 38.1% → 28.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.10%	—	×0.740	28.19%
BB% (unintentional) /BF	10.48%	—	×1.180	12.36%
HR / BF /BF	0.48%	÷1.000	×1.300	0.62%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 1.47 → 2.63, 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).

2025 ROKFCL Rays · 34 IPFIP 2.96 → 4.44 (+1.48)K% 27.8% → 18.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.81%	—	×0.680	18.91%
BB% (unintentional) /BF	14.57%	—	×1.250	18.21%
HR / BF /BF	0.66%	÷0.809	×1.400	1.15%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 62).

Result: FIP 2.96 → 4.44, 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).

2024 ROKDSL Tampa Bay · 54 IPFIP 2.04 → 3.57 (+1.53)K% 34.3% → 23.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.30%	—	×0.680	23.32%
BB% (unintentional) /BF	8.21%	—	×1.250	10.27%
HR / BF /BF	1.45%	÷0.982	×1.400	2.07%

Result: FIP 2.04 → 3.57, 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).

2023 ROKDSL Rays · 44 IPFIP 2.24 → 3.46 (+1.22)K% 28.2% → 19.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.25%	—	×0.680	19.21%
BB% (unintentional) /BF	9.60%	—	×1.250	12.01%
HR / BF /BF	0.56%	÷0.938	×1.400	0.84%

Result: FIP 2.24 → 3.46, 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
Yereny Teus (OGILVIE)	—	—	—	—	—	2.7%	—	4.26	26.3%	14.4%	225	-0.27	—	—	—
Tommy Vail L 2024 · 3.65 FIP	25	SW	3.65	27.5%	15.3%	1.7%	.237	5.19	19.5%	2.9%	99	+1.54	3.65	168	83
Ismael Guillón L 2016 · 4.38 FIP	24	SW	4.38	24.9%	12.5%	3.3%	.206	4.43	20.1%	6.0%	100	+0.05	4.35	193	83
Mark Manfredi Sr. L 2024 · 4.60 FIP	24	SW	4.60	22.0%	14.9%	2.7%	.289	3.22	25.4%	11.6%	128	-1.38	2.91	204	82
Dante Biasi L 2021 · 4.91 FIP	23	SW	4.91	21.5%	12.6%	3.7%	.251	5.70	19.3%	2.3%	153	+0.79	4.91	224	81
Garrett Schoenle L 2022 · 4.60 FIP	24	SW	4.60	21.4%	10.8%	3.5%	.263	4.25	20.9%	9.7%	219	-0.35	2.32	362	78
Héctor Santiago L 2012 · 4.30 FIP	24	SU	4.30	25.8%	12.7%	3.2%	.247	4.22	20.6%	11.2%	457	-0.08	4.07	1,059	75
Will Johnston L 2024 · 3.94 FIP	23	SP-	3.94	24.8%	11.6%	2.7%	.290	4.56	22.9%	7.5%	104	+0.62	3.94	195	75
Luis Ysla L 2015 · 4.88 FIP	23	SW	4.88	19.6%	12.5%	3.4%	.412	4.47	18.3%	4.3%	208	-0.41	3.75	378	75
Sean Mellen L 2021 · 4.59 FIP	23	SU	4.59	21.5%	12.1%	3.2%	.364	4.01	21.3%	10.9%	55	-0.58	4.01	101	75
Keyshawn Askew L 2023 · 3.70 FIP	23	SW	3.70	24.1%	12.4%	1.9%	.278	3.91	17.4%	-0.6%	99	+0.21	3.32	262	75
Josh Simpson L 2021 · 4.57 FIP	23	SW	4.57	23.5%	11.5%	3.6%	.290	3.26	33.2%	19.8%	102	-1.31	2.95	256	75
Seth Lonsway L 2022 · 4.41 FIP	23	SW	4.41	21.2%	14.4%	2.3%	.304	4.15	16.0%	4.4%	319	-0.26	3.35	506	75
Jeffrey Springs L 2016 · 4.37 FIP	23	SW	4.37	21.0%	10.1%	3.2%	.265	3.59	25.7%	16.0%	233	-0.78	1.36	906	75
Garrett Irvin L 2023 · 4.42 FIP	24	SU	4.42	23.2%	11.6%	3.3%	.283	4.32	17.7%	2.9%	39	-0.10	4.32	110	74
Shane McCain L 2015 · 4.34 FIP	23	SU	4.34	19.8%	9.7%	3.0%	.324	4.75	16.6%	10.0%	125	+0.41	4.34	201	73
R.C. Orlan L 2015 · 3.93 FIP	24	SU	3.93	21.0%	10.9%	2.2%	.326	4.62	17.2%	5.0%	119	+0.69	1.71	206	73
Trey Cumbie L 2019 · 3.44 FIP	23	SU	3.44	22.5%	12.6%	1.2%	.318	4.78	24.4%	8.7%	91	+1.34	3.44	152	72
Harry Gustin L 2024 · 3.91 FIP	22	SU	3.91	20.7%	11.0%	2.1%	.331	4.33	22.9%	12.7%	109	+0.42	3.70	152	72
Jeremy Affeldt L 2002 · 3.93 FIP	23	SW	3.93	19.0%	9.3%	2.3%	.314	3.79	16.8%	8.4%	252	-0.14	2.56	926	72
Lucas Knowles L 2021 · 3.90 FIP	23	SW	3.90	20.5%	12.9%	1.6%	.366	4.22	18.5%	9.4%	177	+0.32	3.37	308	71

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	2.7	68	26.1%	12.1%	1.09	4.36
Tim Stoddard ('75-'89, 4 WAR*)	3.6	66	26.2%*	11.2%*	1.14*	4.24*
Jeff Parrett ('86-'96, 6 WAR*)	3.6	72	24.8%*	11.0%*	1.02*	4.07*
Brandon Workman ('21)	1.6	55	24.3%	11.1%	1.04	4.02
Tony Cingrani ('18)	1.7	56	25.8%	11.3%	1.26	4.01
Dennis Higgins ('66-'72, 1 WAR*)	2.1	82	24.5%*	12.2%*	0.94*	4.34*
Joel Hanrahan ('13)	2.0	67	25.0%	11.2%	0.89	3.85