Tyler Phillips

P Miami Marlins

Age 29 RHP 6'5" / 225 lbs MLB

Overview

MLBSP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX2 levels	28	27	155	5.50	4.46	19.2%	8.4%	1.7	K 17.1% · BB 7.7% · FIP 4.60
2025	27	MLBMIA	54	1	78	2.78	4.03	16.6%	7.7%	0.5
2026	28	MLBMIA	37	20	127	3.34	4.58	18.8%	10.4%	1.2
2027PROJ	29	MLBMIA	13	13	79	4.55	4.80	19.4%	9.4%	0.5
2028PROJ95% MLB	30	MLBMIA	8	8	46	4.82	5.01	18.7%	9.8%	0.2
2029PROJ95% MLB	31	MLBMIA	5	5	29	5.07	5.24	18.0%	10.1%	0.1

Last 3 seasons WAR 3.4 · Next 3 projected WAR 0.8Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo71

xwOBA vs33

K%27

Form2.11 ERA (proj 4.55) · K 17.9% (proj 19.4%) · BB 13.1% (proj 9.4%) ▼ last 60d · 21 IP through Oct 27

CompsOdrisamer Despaigne (age 29) · Luke Hudson (age 29) · Philip Humber (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.55

FIP4.80

K%19.4%

BB%9.4%

K-BB%10.0%

Proj IP79

Value2027 · WAR

Runs saved vs league avg · 79 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p7196.0

Whiff%

p5726.4%

p2718.8%

xwOBA vs

p330.332

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)
2015	17	ROK MLE	AZL Rangers	13	0	15	60	10	1	2	0%	1.2	11.3%	2.1%	9.3%	4.7%	3.60	4.97	—
2015	17	ROK RAW	AZL Rangers	13	0	15	60	10	1	2	0%	1.2	16.7%	1.7%	15.0%	3.3%	3.60	3.70	—
2017	19	A MLE	Hickory Crawdads	7	4	25	117	15	9	2	57%	3.6	9.5%	9.1%	0.4%	2.2%	6.39	4.65	—
2017	19	A RAW	Hickory Crawdads	7	4	25	117	15	9	2	57%	3.6	12.8%	7.7%	5.1%	1.7%	6.39	4.01	—
2018	20	MIX MLE	2 levels	23	23	133	531	127	16	4	100%	5.8	17.9%	3.2%	14.7%	0.8%	2.64	2.46	—
2018	20	MIX RAW	2 levels	23	23	133	531	127	16	4	100%	5.8	23.9%	3.0%	20.9%	0.8%	2.64	1.94	—
2019	21	MIX MLE	2 levels	24	22	131	527	102	25	16	92%	5.5	15.5%	5.3%	10.2%	3.0%	3.71	4.13	—
2019	21	MIX RAW	2 levels	24	22	131	527	102	25	16	92%	5.5	19.4%	4.7%	14.6%	3.0%	3.71	3.70	—
2021	23	MIX MLE	3 levels	15	14	40	181	41	23	8	93%	2.6	19.5%	13.9%	5.6%	4.5%	6.13	5.68	—
2021	23	MIX RAW	3 levels	15	14	40	181	41	23	8	93%	2.6	22.7%	12.7%	9.9%	4.4%	6.13	5.39	—
2023	25	MIX MLE	2 levels	26	25	123	541	110	52	13	96%	4.7	16.7%	9.8%	7.0%	2.7%	4.92	4.42	—
2023	25	MIX RAW	2 levels	26	25	123	541	110	52	13	96%	4.7	20.3%	9.6%	10.7%	2.4%	4.92	3.96	—
2024	26	MIX MLE	2 levels	28	27	155	667	128	56	23	96%	5.5	17.1%	7.7%	9.4%	3.6%	5.50	4.60	+1.4
2024	26	MIX MLE	2 levels	28	27	155	667	128	56	23	96%	5.5	17.1%	7.7%	9.4%	3.6%	5.50	4.60	+1.4
2024	26	MIX RAW	2 levels	28	27	155	667	128	56	23	96%	5.5	19.2%	8.4%	10.8%	3.4%	5.50	4.46	+1.7
2025	27	MLB MLE	Miami Marlins	54	1	78	313	52	24	8	2%	1.4	16.6%	7.7%	8.9%	2.7%	2.78	4.15	+0.4
2025	27	MLB MLE	Miami Marlins	54	1	78	313	52	24	8	2%	1.4	16.6%	7.7%	8.9%	2.7%	2.78	4.15	+0.4
2025	27	MLB RAW	Miami Marlins	54	1	78	313	52	24	8	2%	1.4	16.6%	7.7%	8.9%	2.6%	2.78	4.03	+0.5
2026	28	MLB MLE	Miami Marlins	37	20	127	538	101	56	17	54%	3.4	18.8%	10.4%	8.4%	3.3%	3.34	4.66	+1.1
2026	28	MLB MLE	Miami Marlins	37	20	127	538	101	56	17	54%	3.4	18.8%	10.4%	8.4%	3.3%	3.34	4.66	+1.1
2026	28	MLB RAW	Miami Marlins	37	20	127	538	101	56	17	54%	3.4	18.8%	10.4%	8.4%	3.2%	3.34	4.58	+1.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			99	28	241	1011	181	87	34	28%	2.4	17.9%	8.6%	9.3%	3.4%	3.70	4.51	+0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	MIA	13	13	79	334	65	32	11	100%	6.1	19.4%	9.4%	10.0%	3.2%	4.55	4.80	+0.5
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	MIA	8	8	48	203	38	20	7	100%	6.0	18.7%	9.8%	9.0%	3.4%	4.82	5.01	+0.2
2029	31	MLB MLE	MIA	5	5	30	129	23	13	5	100%	6.1	18.0%	10.1%	7.9%	3.6%	5.07	5.24	+0.1
2028	30	MLB CTX	MIA	8	8	46	194	36	19	7	100%	5.8	18.7%	9.8%	9.0%	3.4%	4.82	5.01	+0.2
2029	31	MLB CTX	MIA	5	5	29	122	22	12	4	100%	5.8	18.0%	10.1%	7.9%	3.6%	5.07	5.24	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		111	40	316	1326	239	118	45	36%	2.8	18.0%	8.9%	9.1%	3.4%	3.99	4.57	-0.1
/ 200 IP	—	RAW		70	25	200	840	151	75	29	36%	2.8	18.0%	8.9%	9.1%	3.4%	3.99	4.57	-0.0
Career	—	MLE		227	136	826	3475	587	266	99	60%	3.6	16.9%	7.6%	9.3%	2.8%	4.11	4.21	+2.8
/ 200 IP	—	MLE		55	33	200	841	142	64	24	60%	3.6	16.9%	7.6%	9.3%	2.8%	4.11	4.21	+1.7

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.

2024 AAALehigh Valley IronPigs · 119 IPFIP 4.17 → 4.45 (+0.28)K% 19.7% → 17.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.72%	—	×0.860	16.96%
BB% (unintentional) /BF	9.66%	—	×0.900	8.70%
HR / BF /BF	2.76%	÷0.989	×1.100	3.07%

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 98).

Result: FIP 4.17 → 4.45, 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).

2023 AAReading Fightin Phils · 82 IPFIP 4.14 → 4.89 (+0.75)K% 22.9% → 18.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.92%	—	×0.810	18.57%
BB% (unintentional) /BF	8.60%	—	×1.100	9.46%
HR / BF /BF	3.44%	÷1.050	×1.200	3.93%

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 110).

Result: FIP 4.14 → 4.89, 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 AAALehigh Valley IronPigs · 40 IPFIP 3.52 → 3.58 (+0.06)K% 15.6% → 13.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.62%	—	×0.860	13.44%
BB% (unintentional) /BF	11.46%	—	×0.900	10.31%
HR / BF /BF	0.52%	÷1.028	×1.100	0.56%

Result: FIP 3.52 → 3.58, 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).

2021 AAReading Fightin Phils · 27 IPFIP 4.95 → 5.16 (+0.21)K% 25.4% → 20.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.44%	—	×0.810	20.61%
BB% (unintentional) /BF	8.77%	—	×1.100	9.65%
HR / BF /BF	5.26%	÷1.344	×1.200	4.70%

Result: FIP 4.95 → 5.16, 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).

2021 AAARound Rock Express · 10 IPFIP 6.12 → 6.74 (+0.62)K% 19.6% → 17.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.64%	—	×0.880	17.29%
BB% (unintentional) /BF	21.43%	—	×1.050	22.50%
HR / BF /BF	3.57%	÷0.958	×1.100	4.10%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 92).

Result: FIP 6.12 → 6.74, 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).

2019 AAFrisco RoughRiders · 93 IPFIP 4.23 → 4.59 (+0.35)K% 19.1% → 15.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.12%	—	×0.810	15.49%
BB% (unintentional) /BF	4.91%	—	×1.100	5.40%
HR / BF /BF	3.88%	÷1.208	×1.200	3.85%

Result: FIP 4.23 → 4.59, 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).

2019 A+Down East Wood Ducks · 38 IPFIP 2.35 → 2.85 (+0.50)K% 20.0% → 15.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.770	15.40%
BB% (unintentional) /BF	4.29%	—	×1.150	4.93%
HR / BF /BF	0.71%	÷1.152	×1.250	0.78%

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 130).

Result: FIP 2.35 → 2.85, 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).

2018 AHickory Crawdads · 128 IPFIP 1.83 → 2.46 (+0.63)K% 24.2% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.22%	—	×0.740	17.92%
BB% (unintentional) /BF	2.73%	—	×1.180	3.23%
HR / BF /BF	0.78%	÷1.204	×1.300	0.84%

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 141).

Result: FIP 1.83 → 2.46, 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
Tyler Phillips (OGILVIE)	—	—	—	—	—	3.2%	—	5.10	18.4%	8.6%	78	+0.30	—	—	—
Odrisamer Despaigne R 2016 · 3.97 FIP	29	SW	3.97	15.3%	8.5%	2.0%	.316	3.74	17.1%	8.5%	348	-0.23	3.13	689	76
Luke Hudson R 2006 · 3.81 FIP	29	SP-	3.81	14.5%	8.4%	1.6%	.307	—	—	—	—	—	3.81	235	71
Philip Humber R 2012 · 5.41 FIP	29	SP-	5.41	18.4%	9.3%	4.9%	.289	4.82	13.9%	6.6%	55	-0.59	2.97	362	67
Tim Adleman R 2017 · 5.35 FIP	29	SP-	5.35	20.3%	9.4%	5.1%	.276	4.30	22.8%	15.0%	117	-1.05	3.63	605	67
Jason Simontacchi R 2003 · 4.96 FIP	29	SW	4.96	13.1%	7.3%	3.7%	.309	8.14	4.5%	-5.9%	15	+3.18	4.79	356	67
Alexi Ogando R 2013 · 4.22 FIP	29	SP-	4.22	16.8%	9.3%	2.5%	.249	4.43	19.0%	8.4%	122	+0.21	2.83	538	66
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	66
Mike Wright Jr. R 2019 · 3.76 FIP	29	SW	3.76	19.9%	7.2%	2.6%	.347	4.19	17.6%	7.3%	169	+0.43	3.76	725	66
Taylor Jungmann R 2017 · 3.88 FIP	27	SP-	3.88	18.8%	11.1%	1.8%	.279	—	—	—	—	—	3.59	435	64
Gary Knotts R 2004 · 4.95 FIP	27	SP-	4.95	13.5%	9.2%	3.3%	.275	—	—	—	—	—	4.95	261	64
Ross Ohlendorf R 2012 · 4.60 FIP	29	SP-	4.60	16.7%	10.3%	2.9%	.337	3.67	20.8%	14.6%	116	-0.93	3.30	617	64
Travis Driskill R 2002 · 4.95 FIP	30	SP-	4.95	13.2%	8.0%	3.6%	.291	4.26	15.3%	12.0%	48	-0.69	4.26	181	64
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	64
Shawn Haviland R 2015 · 3.95 FIP	29	SP-	3.95	14.6%	6.0%	2.4%	.303	4.67	16.1%	8.8%	169	+0.72	3.69	283	63
Seth Simmons R 2016 · 4.27 FIP	28	SW	4.27	18.1%	8.1%	3.0%	.262	6.20	13.3%	2.4%	54	+1.93	3.07	251	63
Mike Bolsinger R 2017 · 4.26 FIP	29	SW	4.26	20.2%	9.4%	3.0%	.317	—	—	—	—	—	3.42	379	62
Aaron Brooks R 2019 · 4.72 FIP	29	SP-	4.72	17.0%	7.1%	3.9%	.281	4.38	15.8%	8.8%	70	-0.34	3.71	879	62
Jose Pina R 2015 · 4.90 FIP	29	SW	4.90	16.9%	9.2%	3.8%	.231	3.66	13.6%	6.9%	246	-1.24	3.63	424	62
José A. Váldez R 2019 · 4.21 FIP	29	SP-	4.21	16.8%	10.6%	2.2%	.300	—	—	—	—	—	4.02	328	62
Hisashi Iwakuma R 2012 · 4.28 FIP	31	SP-	4.28	19.5%	7.7%	3.4%	.277	3.45	21.5%	17.8%	528	-0.83	3.19	884	61

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	2.0	66	18.3%	9.0%	1.30	4.11
Fred Scherman ('69-'76, 1 WAR*)	2.7	77	18.0%*	10.0%*	1.17*	4.29*
Tom House ('71-'78, 3 WAR*)	2.7	77	17.3%*	7.8%*	1.25*	4.14*
Matt Wise ('08)	1.6	53	18.1%	7.9%	1.14	4.23
Rich Monteleone ('87-'96, 2 WAR*)	1.8	71	18.7%*	7.5%*	1.39*	4.03*
Juan Acevedo ('03)	2.9	71	14.1%	9.1%	1.14	4.33
Mike Trombley ('02)	4.0	80	19.4%	9.2%	1.29	4.48