Tyler Woessner

P Biloxi Shuckers

Age 27 RHP 6'4" / 230 lbs AA peak 0.2 · 2027

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	23	A+MIL	24	22	121	4.02	3.34	21.3%	10.3%	—	K 16.4% · BB 11.8% · FIP 4.10
2024	24	MIX2 levels	32	10	76	7.02	4.95	21.5%	14.0%	—	K 17.8% · BB 13.6% · FIP 5.27
2025	25	MIX2 levels	8	0	9	6.75	5.46	20.5%	20.5%	—	K 20.5% · BB 20.5% · FIP 5.21
2026	26	No MLB games played
2027PROJ	27	MLBMIL	1	1	1	5.01	5.01	19.5%	11.7%	0.0
2028PROJ38% MLB	28	MLBMIL	3	3	17	4.99	5.03	19.7%	11.6%	0.1
2029PROJ56% MLB	29	MLBMIL	4	4	23	5.04	5.10	19.8%	11.6%	0.1

Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsAaron Northcraft (age 26) · Colby Morris (age 25) · Shawn Dubin (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128120vR 112

ERA5.01

FIP5.01

K%19.5%

BB%11.7%

K-BB%7.8%

Proj IP53

Value2027 · WAR

Runs saved vs league avg · 53 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 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)
2022	22	MIX MLE	2 levels	4	3	8	29	13	3	0	75%	1.9	44.8%	10.3%	34.5%	0.0%	1.17	0.62	—
2022	22	MIX RAW	2 levels	4	3	8	29	13	3	0	75%	1.9	44.8%	10.3%	34.5%	0.0%	1.17	0.88	—
2023	23	A+ MLE	Wisconsin Timber Rattlers	24	22	121	525	112	54	7	92%	5.0	16.4%	11.8%	4.6%	1.6%	4.02	4.10	—
2023	23	A+ RAW	Wisconsin Timber Rattlers	24	22	121	525	112	54	7	92%	5.0	21.3%	10.3%	11.0%	1.3%	4.02	3.34	—
2024	24	MIX MLE	2 levels	32	10	76	363	78	51	11	31%	2.4	17.8%	13.6%	4.2%	3.6%	7.02	5.27	—
2024	24	MIX MLE	2 levels	32	10	76	363	78	51	11	31%	2.4	17.8%	13.6%	4.2%	3.6%	7.02	5.27	—
2024	24	MIX RAW	2 levels	32	10	76	363	78	51	11	31%	2.4	21.5%	14.0%	7.4%	3.0%	7.02	4.95	—
2025	25	MIX MLE	2 levels	8	0	9	44	9	9	1	0%	1.2	20.5%	20.5%	0.0%	2.3%	6.75	5.21	—
2025	25	MIX MLE	2 levels	8	0	9	44	9	9	1	0%	1.2	20.5%	20.5%	0.0%	2.3%	6.75	5.21	—
2025	25	MIX RAW	2 levels	8	0	9	44	9	9	1	0%	1.2	20.5%	20.5%	0.0%	2.3%	6.75	5.46	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	MIL	1	1	1	4	1	0	0	100%	1.0	19.5%	11.7%	7.8%	3.1%	5.01	5.01	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	MIL	8	8	46	195	38	23	6	100%	5.8	19.7%	11.6%	8.2%	3.2%	4.99	5.03	+0.2
2029	29	MLB MLE	MIL	7	7	41	173	34	20	6	100%	5.8	19.8%	11.6%	8.2%	3.3%	5.04	5.10	+0.1
2028	28	MLB CTX	MIL	3	3	17	72	14	8	2	100%	5.7	19.7%	11.6%	8.2%	3.2%	4.99	5.03	+0.1
2029	29	MLB CTX	MIL	4	4	23	97	19	11	3	100%	5.8	19.8%	11.6%	8.2%	3.3%	5.04	5.10	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	7	40	169	33	20	6	100%	5.7	19.8%	11.6%	8.2%	3.3%	5.02	4.69	+0.3
/ 200 IP	—	RAW		33	33	200	844	165	100	30	100%	6.1	19.8%	11.6%	8.2%	3.3%	5.02	4.69	+1.6
Career	—	MLE		68	35	214	961	173	123	22	51%	3.1	18.0%	12.8%	5.1%	2.3%	5.10	4.48	+0.3
/ 200 IP	—	MLE		64	33	200	900	162	116	21	51%	3.1	18.0%	12.8%	5.1%	2.3%	5.10	4.48	+0.8

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.

2025 AABiloxi Shuckers · 5 IPFIP 5.02 → 5.69 (+0.67)K% 27.3% → 22.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.27%	—	×0.810	22.09%
BB% (unintentional) /BF	13.64%	—	×1.100	15.00%
HR / BF /BF	4.55%	÷1.170	×1.200	4.66%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 134).

Result: FIP 5.02 → 5.69, 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 A+Wisconsin Timber Rattlers · 4 IPFIP 5.40 → 6.19 (+0.78)K% 13.6% → 10.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.64%	—	×0.770	10.50%
BB% (unintentional) /BF	27.27%	—	×1.150	31.36%
HR / BF /BF	0.00%	÷1.246	×1.250	0.00%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 149).

Result: FIP 5.40 → 6.19, 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 AAANashville Sounds · 39 IPFIP 6.60 → 7.09 (+0.49)K% 14.9% → 12.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.95%	—	×0.860	12.86%
BB% (unintentional) /BF	17.53%	—	×0.900	15.77%
HR / BF /BF	4.64%	÷0.909	×1.100	5.61%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 82).

Result: FIP 6.60 → 7.09, 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 AABiloxi Shuckers · 37 IPFIP 2.58 → 3.17 (+0.59)K% 29.0% → 23.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.99%	—	×0.810	23.49%
BB% (unintentional) /BF	10.06%	—	×1.100	11.07%
HR / BF /BF	1.18%	÷1.198	×1.200	1.19%

Result: FIP 2.58 → 3.17, 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 A+Wisconsin Timber Rattlers · 121 IPFIP 3.33 → 4.10 (+0.76)K% 21.3% → 16.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.33%	—	×0.770	16.43%
BB% (unintentional) /BF	10.29%	—	×1.150	11.83%
HR / BF /BF	1.33%	÷1.033	×1.250	1.61%

Result: FIP 3.33 → 4.10, 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).

2022 ROKACL Brewers Gold · 6 IPFIP -0.91 → 0.73 (+1.64)K% 55.0% → 37.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	55.00%	—	×0.680	37.40%
BB% (unintentional) /BF	5.00%	—	×1.250	6.25%
HR / BF /BF	0.00%	÷1.144	×1.400	0.00%

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 129).

Result: FIP -0.91 → 0.73, 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
Tyler Woessner (OGILVIE)	—	—	5.01	19.5%	11.7%	3.1%	—	5.06	19.7%	8.2%	87	+0.05	—	—	—
Aaron Northcraft R 2016 · 4.19 FIP	26	SW	4.19	16.1%	8.3%	2.5%	.309	3.32	24.1%	13.4%	34	-0.87	3.32	252	78
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	78
Shawn Dubin R 2023 · 4.87 FIP	27	SP-	4.87	20.0%	12.9%	3.3%	.292	3.97	21.8%	11.4%	79	-0.90	3.02	341	78
Nolan Sanburn R 2017 · 4.55 FIP	26	SW	4.55	15.0%	10.4%	2.5%	.310	—	—	—	—	—	3.82	169	78
Cameron Foster R 2024 · 4.83 FIP	25	SW	4.83	17.4%	11.5%	3.2%	.321	3.09	25.5%	17.5%	60	-1.74	2.50	213	77
Tyler Yates R 2004 · 4.47 FIP	26	SW	4.47	15.4%	9.6%	2.6%	.333	3.64	22.5%	13.5%	116	-0.83	3.23	248	77
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	77
Alfonso Sanchez R 2015 · 4.96 FIP	27	SP-	4.96	12.5%	9.1%	3.2%	.346	4.85	14.0%	5.3%	138	-0.11	4.51	224	77
Roberto Gómez R 2017 · 3.95 FIP	27	SW	3.95	18.4%	8.9%	2.3%	.315	5.25	13.8%	4.9%	18	+1.30	3.95	115	76
Lisalverto Bonilla R 2017 · 4.61 FIP	27	SW	4.61	18.2%	10.5%	3.1%	.304	4.70	15.8%	3.2%	11	+0.09	3.22	242	76
Dakota Hawkins R 2024 · 4.31 FIP	24	SW	4.31	16.3%	8.9%	2.7%	.277	4.32	19.4%	10.4%	102	+0.01	3.50	186	76
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	76
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	75
Zach Stewart R 2015 · 4.43 FIP	28	SP-	4.43	14.4%	8.3%	2.7%	.322	5.17	11.7%	2.1%	51	+0.74	4.27	194	75
Andres Santiago R 2017 · 4.16 FIP	27	SW	4.16	16.3%	9.1%	2.3%	.384	5.26	13.1%	3.2%	159	+1.10	3.76	291	75
Ricky Castro R 2024 · 3.99 FIP	24	SP-	3.99	20.4%	8.6%	2.8%	.287	5.11	19.0%	10.6%	178	+1.12	3.99	241	75
Danny Kirwin R 2024 · 4.19 FIP	24	SW	4.19	17.9%	9.9%	2.4%	.262	5.33	16.8%	4.6%	91	+1.14	4.16	161	75
Orlando Rodriguez R 2023 · 4.67 FIP	27	SW	4.67	13.7%	10.6%	2.5%	.252	—	—	—	—	—	4.40	119	74
Mitch Neunborn R 2024 · 4.25 FIP	27	SP-	4.25	19.0%	12.0%	2.2%	.285	5.80	16.4%	6.5%	114	+1.55	3.65	248	74
Bryce Morrow R 2015 · 4.31 FIP	27	SP-	4.31	12.8%	7.9%	2.4%	.316	5.44	10.1%	-0.2%	50	+1.13	4.31	125	74

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	0.7	47	19.6%	11.6%	1.23	5.01
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Pedro Borbón ('03)	1.4	45	18.5%	11.1%	1.10	4.68
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*