Tyler Guilfoil

P Corpus Christi Hooks

Age 27 RHP 6'4" / 215 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	23	MIX2 levels	23	13	84	3.21	2.11	34.7%	10.5%	—	K 26.0% · BB 12.3% · FIP 3.18
2024	24	AAHOU	27	18	118	4.81	4.86	20.8%	10.5%	—	K 16.9% · BB 11.6% · FIP 5.78
2025	25	MIX2 levels	48	0	74	4.62	4.67	23.6%	15.6%	—	K 19.4% · BB 16.4% · FIP 5.10
2026	26	No MLB games played
2027PROJ	27	MLBHOU	1	0	1	5.66	5.66	18.3%	15.9%	-0.0
2028PROJ38% MLB	28	MLBHOU	18	0	19	5.57	5.61	18.7%	15.4%	-0.2
2029PROJ56% MLB	29	MLBHOU	22	0	23	5.57	5.64	18.8%	15.1%	-0.3

Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control30Command40

CompsCameron Foster (age 25) · Robbie Peto (age 25) · Dennis O'Grady (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 141133vR 124

ERA5.66

FIP5.66

K%18.3%

BB%15.9%

K-BB%2.5%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL3030

CMD4040

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	7	1	17	62	31	7	1	14%	2.5	50.0%	11.3%	38.7%	1.6%	0.52	1.19	—
2022	22	MIX RAW	2 levels	7	1	17	62	31	7	1	14%	2.5	50.0%	11.3%	38.7%	1.6%	0.52	1.48	—
2023	23	MIX MLE	2 levels	23	13	84	354	123	37	4	57%	3.7	26.0%	12.3%	13.7%	1.3%	3.21	3.18	—
2023	23	MIX RAW	2 levels	23	13	84	354	123	37	4	57%	3.7	34.7%	10.5%	24.3%	1.1%	3.21	2.11	—
2024	24	AA MLE	Corpus Christi Hooks	27	18	118	514	107	54	20	67%	4.4	16.9%	11.6%	5.3%	4.8%	4.81	5.78	—
2024	24	AA MLE	Corpus Christi Hooks	27	18	118	514	107	54	20	67%	4.4	16.9%	11.6%	5.3%	4.8%	4.81	5.78	—
2024	24	AA RAW	Corpus Christi Hooks	27	18	118	514	107	54	20	67%	4.4	20.8%	10.5%	10.3%	3.9%	4.81	4.86	—
2025	25	MIX MLE	2 levels	48	0	74	339	80	53	9	0%	1.5	19.4%	16.4%	3.0%	2.8%	4.62	5.10	—
2025	25	MIX MLE	2 levels	48	0	74	339	80	53	9	0%	1.5	19.4%	16.4%	3.0%	2.8%	4.62	5.10	—
2025	25	MIX RAW	2 levels	48	0	74	339	80	53	9	0%	1.5	23.6%	15.6%	8.0%	2.7%	4.62	4.67	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	HOU	1	0	1	4	1	1	0	0%	1.0	18.3%	15.9%	2.5%	3.1%	5.66	5.66	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	HOU	47	0	49	209	39	32	7	0%	1.1	18.7%	15.4%	3.4%	3.2%	5.57	5.61	-0.6
2029	29	MLB MLE	HOU	39	0	41	172	32	26	6	0%	1.0	18.8%	15.1%	3.7%	3.3%	5.57	5.64	-0.5
2028	28	MLB CTX	HOU	18	0	19	80	15	12	3	0%	1.1	18.7%	15.4%	3.4%	3.2%	5.57	5.61	-0.2
2029	29	MLB CTX	HOU	22	0	23	97	18	15	3	0%	1.0	18.8%	15.1%	3.7%	3.3%	5.57	5.64	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		39	0	41	174	33	27	6	0%	1.1	18.8%	15.2%	3.6%	3.3%	5.57	5.25	-0.3
/ 200 IP	—	RAW		190	0	200	844	160	131	29	0%	1.1	18.8%	15.2%	3.6%	3.3%	5.57	5.25	-1.6
Career	—	MLE		105	32	293	1269	276	166	40	30%	2.8	21.7%	13.0%	8.7%	3.2%	4.05	4.65	-1.1
/ 200 IP	—	MLE		72	22	200	865	188	113	27	30%	2.8	21.7%	13.0%	8.7%	3.2%	4.05	4.65	-2.4

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 AACorpus Christi Hooks · 72 IPFIP 4.34 → 5.10 (+0.76)K% 24.0% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.99%	—	×0.810	19.43%
BB% (unintentional) /BF	14.95%	—	×1.100	16.45%
HR / BF /BF	2.49%	÷1.057	×1.200	2.83%

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 111).

Result: FIP 4.34 → 5.10, 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).

2024 AACorpus Christi Hooks · 118 IPFIP 4.81 → 5.78 (+0.97)K% 20.8% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.82%	—	×0.810	16.86%
BB% (unintentional) /BF	10.51%	—	×1.100	11.56%
HR / BF /BF	3.89%	÷0.970	×1.200	4.81%

Result: FIP 4.81 → 5.78, 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 AFayetteville Woodpeckers · 62 IPFIP 1.93 → 3.08 (+1.15)K% 35.1% → 26.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.14%	—	×0.740	26.00%
BB% (unintentional) /BF	10.81%	—	×1.180	12.76%
HR / BF /BF	0.77%	÷0.993	×1.300	1.01%

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 99).

Result: FIP 1.93 → 3.08, 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+Asheville Tourists · 22 IPFIP 2.61 → 3.48 (+0.86)K% 33.7% → 25.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.68%	—	×0.770	25.94%
BB% (unintentional) /BF	9.47%	—	×1.150	10.89%
HR / BF /BF	2.11%	÷1.218	×1.250	2.16%

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 144).

Result: FIP 2.61 → 3.48, 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 AFayetteville Woodpeckers · 12 IPFIP 0.39 → 1.75 (+1.37)K% 50.0% → 37.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	50.00%	—	×0.740	37.00%
BB% (unintentional) /BF	11.90%	—	×1.180	14.05%
HR / BF /BF	0.00%	÷0.949	×1.300	0.00%

Result: FIP 0.39 → 1.75, 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 ROKFCL Astros Blue · 6 IPFIP 2.89 → 5.45 (+2.56)K% 50.0% → 34.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	50.00%	—	×0.680	34.00%
BB% (unintentional) /BF	10.00%	—	×1.250	12.50%
HR / BF /BF	5.00%	÷1.058	×1.400	6.62%

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 112).

Result: FIP 2.89 → 5.45, 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 Guilfoil (OGILVIE)	—	—	5.66	18.3%	15.9%	3.1%	—	5.62	18.8%	3.5%	90	-0.04	—	—	—
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	78
Robbie Peto R 2023 · 5.75 FIP	25	SW	5.75	15.3%	13.4%	4.1%	.325	—	—	—	—	—	5.39	232	77
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	77
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	76
Brad Allen R 2016 · 5.82 FIP	27	SW	5.82	14.7%	13.2%	4.2%	.272	—	—	—	—	—	4.25	149	76
Stephen Johnson R 2016 · 5.15 FIP	25	SU	5.15	16.7%	12.7%	3.4%	.268	—	—	—	—	—	3.12	141	75
Taylor Grover R 2017 · 4.93 FIP	26	SW	4.93	20.0%	10.9%	3.9%	.320	4.89	16.2%	8.9%	14	-0.04	3.68	239	75
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	75
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	74
Fernando Cruz R 2015 · 5.29 FIP	25	SU	5.29	15.6%	12.2%	3.6%	.284	—	—	—	—	—	2.50	371	73
Jeremy Guthrie R 2006 · 4.92 FIP	27	SU	4.92	15.1%	15.1%	2.1%	.349	4.57	14.8%	8.1%	566	-0.35	4.08	1,834	73
Hunter Dollander R 2023 · 6.77 FIP	26	SU	6.77	17.6%	18.3%	5.2%	.329	—	—	—	—	—	3.92	106	73
Jorge Reyes R 2015 · 4.58 FIP	27	SW	4.58	15.9%	8.5%	3.2%	.307	3.49	14.2%	6.2%	129	-1.09	3.39	227	72
Vanny Valenzuela R 2015 · 6.82 FIP	27	SW	6.82	12.4%	14.8%	5.3%	.314	4.29	15.8%	4.6%	70	-2.53	3.26	118	72
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	71
Alex Caldera R 2015 · 5.57 FIP	29	SW	5.57	10.4%	13.1%	3.1%	.333	4.54	11.9%	0.8%	84	-1.03	4.54	120	71
Clate Schmidt R 2019 · 5.66 FIP	25	SU	5.66	13.5%	13.9%	3.5%	.290	—	—	—	—	—	3.51	160	71
Paul Clemens R 2015 · 5.37 FIP	27	SP-	5.37	14.3%	14.1%	3.1%	.310	4.62	16.9%	7.3%	200	-0.75	4.58	345	71
Conor Steinbaugh R 2024 · 4.74 FIP	25	SU	4.74	16.0%	9.9%	3.2%	.281	6.29	15.0%	2.1%	44	+1.55	4.74	111	70
Julian Arballo R 2015 · 5.13 FIP	27	SU	5.13	15.1%	13.8%	2.8%	.335	4.46	12.6%	0.6%	116	-0.67	4.45	214	70

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	0.8	53	18.6%	15.5%	1.24	5.61
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*