Ryan Pressly

P Chicago Cubs

Age 38 RHP 6'2" / 207 lbs MLB

Overview

MLBRP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR
2023	34	MLBHOU	65	0	65	3.58	3.16	27.6%	6.0%	1.1
2024	35	MLBHOU	59	0	57	3.49	2.92	23.8%	7.4%	1.1
2025	36	MLBCHC	44	0	41	4.35	4.87	15.4%	9.3%	-0.2
2026	37	No MLB games played
2027PROJ	38	MLBCHC	50	0	53	4.42	4.63	18.8%	8.6%	-0.0
2028PROJ	39	MLBCHC	18	0	19	4.80	5.06	17.6%	9.3%	-0.1
2029PROJ	40	MLBCHC	7	0	7	5.21	5.49	16.5%	10.0%	-0.1

Last 3 seasons WAR 2.0 · Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

FB Velo34

xwOBA vs18

K%10

CompsJuan Sandoval (age 38) · Keiichi Yabu (age 39) · Rudy Gonzalez (age 36)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 108

ERA4.42

FIP4.63

K%18.8%

BB%8.6%

K-BB%10.2%

Proj IP53

Value2027 · WAR

Runs saved vs league avg · 53 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p3493.4

Whiff%

p1017.4%

p1015.4%

xwOBA vs

p180.350

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)
2013	24	MLB MLE	Minnesota Twins	49	0	77	315	49	26	5	0%	1.6	15.6%	8.3%	7.3%	1.6%	3.87	3.70	+0.8
2013	24	MLB RAW	Minnesota Twins	49	0	77	315	49	26	5	0%	1.6	15.6%	8.3%	7.3%	1.6%	3.87	3.69	+0.8
2014	25	MLB MLE	Minnesota Twins	25	0	28	122	14	6	3	0%	1.1	11.5%	4.9%	6.6%	2.4%	2.86	4.10	+0.2
2014	25	MLB RAW	Minnesota Twins	25	0	28	122	14	6	3	0%	1.1	11.5%	4.9%	6.6%	2.5%	2.86	4.12	+0.1
2015	26	MIX MLE	2 levels	34	0	38	160	37	17	1	0%	1.1	18.5%	9.2%	9.2%	0.0%	3.35	2.71	+0.8
2015	26	MIX RAW	2 levels	34	0	38	160	37	17	1	0%	1.1	23.1%	10.6%	12.5%	0.6%	3.35	2.83	+0.8
2016	27	MLB MLE	Minnesota Twins	72	0	75	328	67	21	8	0%	1.0	20.4%	6.4%	14.0%	2.4%	3.70	3.52	+0.9
2016	27	MLB RAW	Minnesota Twins	72	0	75	328	67	21	8	0%	1.0	20.4%	6.4%	14.0%	2.4%	3.70	3.54	+0.9
2017	28	MIX MLE	2 levels	64	0	71	292	76	19	10	0%	1.1	24.2%	5.6%	18.7%	3.9%	4.16	3.93	+0.5
2017	28	MIX RAW	2 levels	64	0	71	292	76	19	10	0%	1.1	26.0%	6.5%	19.5%	3.4%	4.16	3.59	+0.8
2018	29	MLB MLE	Houston Astros	77	0	71	292	101	21	6	0%	0.9	34.6%	7.2%	27.4%	2.1%	2.54	2.25	+2.0
2018	29	MLB RAW	Houston Astros	77	0	71	292	101	21	6	0%	0.9	34.6%	7.2%	27.4%	2.1%	2.54	2.24	+2.0
2019	30	MIX MLE	2 levels	56	1	55	214	74	12	6	2%	1.0	34.1%	5.7%	28.4%	2.9%	2.28	2.54	+1.3
2019	30	MIX RAW	2 levels	56	1	55	214	74	12	6	2%	1.0	34.6%	5.6%	29.0%	2.8%	2.28	2.49	+1.4
2020	31	MLB MLE	Houston Astros	23	0	21	91	29	6	2	0%	0.9	31.9%	6.6%	25.3%	2.3%	3.43	2.48	+0.5
2020	31	MLB RAW	Houston Astros	23	0	21	91	29	6	2	0%	0.9	31.9%	6.6%	25.3%	2.2%	3.43	2.43	+0.5
2021	32	MLB MLE	Houston Astros	64	0	64	250	81	12	4	0%	1.0	32.4%	4.8%	27.6%	1.6%	2.25	1.88	+2.1
2021	32	MLB RAW	Houston Astros	64	0	64	250	81	12	4	0%	1.0	32.4%	4.8%	27.6%	1.6%	2.25	1.94	+2.0
2022	33	MIX MLE	2 levels	51	0	49	185	65	13	4	0%	1.0	35.7%	7.1%	28.6%	2.3%	2.92	2.23	+1.4
2022	33	MIX RAW	2 levels	51	0	49	185	65	13	4	0%	1.0	35.1%	7.0%	28.1%	2.2%	2.92	2.31	+1.3
2023	34	MLB MLE	Houston Astros	65	0	65	268	74	16	8	0%	1.0	27.6%	6.0%	21.6%	3.1%	3.58	3.21	+1.0
2023	34	MLB RAW	Houston Astros	65	0	65	268	74	16	8	0%	1.0	27.6%	6.0%	21.6%	3.0%	3.58	3.16	+1.1
2024	35	MLB MLE	Houston Astros	59	0	57	244	58	18	4	0%	1.0	23.8%	7.4%	16.4%	1.7%	3.49	2.95	+1.1
2024	35	MLB MLE	Houston Astros	59	0	57	244	58	18	4	0%	1.0	23.8%	7.4%	16.4%	1.7%	3.49	2.95	+1.1
2024	35	MLB RAW	Houston Astros	59	0	57	244	58	18	4	0%	1.0	23.8%	7.4%	16.4%	1.6%	3.49	2.92	+1.1
2025	36	MLB MLE	Chicago Cubs	44	0	41	182	28	17	6	0%	0.9	15.4%	9.3%	6.0%	3.4%	4.35	4.86	-0.2
2025	36	MLB MLE	Chicago Cubs	44	0	41	182	28	17	6	0%	0.9	15.4%	9.3%	6.0%	3.4%	4.35	4.86	-0.2
2025	36	MLB RAW	Chicago Cubs	44	0	41	182	28	17	6	0%	0.9	15.4%	9.3%	6.0%	3.3%	4.35	4.87	-0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			667	0	691	2856	721	193	66	0%	1.0	25.2%	6.8%	18.5%	2.3%	3.33	3.09	+12.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	38	MLB	CHC	50	0	53	224	42	19	7	0%	1.1	18.8%	8.6%	10.2%	3.0%	4.42	4.63	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	39	MLB MLE	CHC	18	0	19	81	14	8	3	0%	1.1	17.6%	9.3%	8.3%	3.4%	4.80	5.06	-0.1
2029	40	MLB MLE	CHC	6	0	7	28	5	3	1	0%	1.1	16.5%	10.0%	6.5%	3.9%	5.21	5.49	-0.1
2028	39	MLB CTX	CHC	18	0	19	80	14	7	3	0%	1.1	17.6%	9.3%	8.3%	3.4%	4.80	5.06	-0.1
2029	40	MLB CTX	CHC	7	0	7	30	5	3	1	0%	1.0	16.5%	10.0%	6.5%	3.9%	5.21	5.49	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		692	0	717	2965	740	203	70	0%	1.0	25.0%	6.9%	18.1%	2.4%	3.39	3.15	+11.9
/ 200 IP	—	RAW		193	0	200	827	206	57	20	0%	1.0	25.0%	6.9%	18.1%	2.4%	3.39	3.15	+3.3
Career	—	MLE		683	1	713	2943	740	199	69	0%	1.0	25.2%	6.8%	18.4%	2.3%	3.31	3.12	+11.8
/ 200 IP	—	MLE		191	0	200	825	208	56	19	0%	1.0	25.2%	6.8%	18.4%	2.3%	3.31	3.12	+3.3

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.

2017 AAARochester Red Wings · 10 IPFIP 1.52 → 1.98 (+0.46)K% 37.5% → 33.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.50%	—	×0.880	33.00%
BB% (unintentional) /BF	12.50%	—	×1.050	13.12%
HR / BF /BF	0.00%	÷0.956	×1.100	0.00%

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 91).

Result: FIP 1.52 → 1.98, 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).

2015 AAARochester Red Wings · 10 IPFIP 3.20 → 3.87 (+0.66)K% 36.6% → 32.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.59%	—	×0.880	32.20%
BB% (unintentional) /BF	14.63%	—	×1.050	15.37%
HR / BF /BF	2.44%	÷0.956	×1.100	2.81%

Result: FIP 3.20 → 3.87, 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
Ryan Pressly (OGILVIE)	—	—	—	—	—	3.0%	—	5.06	17.6%	8.3%	19	+0.43	—	—	—
Juan Sandoval R 2019 · 5.41 FIP	38	SU	5.41	15.9%	7.2%	5.0%	.273	—	—	—	—	—	3.24	225	78
Keiichi Yabu R 2008 · 3.48 FIP	39	SU	3.48	15.9%	9.3%	1.0%	.269	—	—	—	—	—	3.48	126	78
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	75
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	71
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	70
Billy Taylor R 2000 · 4.53 FIP	38	SU	4.53	21.0%	11.3%	3.2%	.275	—	—	—	—	—	2.94	323	70
Chris Nichting R 2002 · 4.67 FIP	36	SU	4.67	16.6%	3.3%	4.6%	.289	—	—	—	—	—	4.11	103	67
Erubiel Gonzalez R 2017 · 3.51 FIP	38	SU	3.51	13.3%	2.5%	2.2%	.388	—	—	—	—	—	2.99	119	62
Brian Sweeney R 2010 · 4.63 FIP	36	SU	4.63	9.5%	3.4%	3.5%	.226	—	—	—	—	—	3.03	108	62
Tony Pena Jr. R 2017 · 3.43 FIP	36	SU	3.43	10.9%	4.3%	1.3%	.312	—	—	—	—	—	2.80	128	60
Seunghwan Oh R 2019 · 5.75 FIP	37	SU	5.75	18.2%	6.8%	6.0%	.383	—	—	—	—	—	1.87	226	59
Yoshihisa Hirano R 2020 · 5.02 FIP	36	SU	5.02	17.5%	12.7%	3.3%	.381	—	—	—	—	—	3.45	132	53
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	41
Hisanori Takahashi L 2012 · 4.04 FIP	37	SU	4.04	24.5%	6.1%	4.1%	.295	—	—	—	—	—	3.50	240	35
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	34

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	3.9	48	24.5%	7.4%	0.93	3.46
Joakim Soria ('21)	3.8	54	26.4%	7.3%	0.79	3.11
Joe Smith ('22)	3.8	51	21.1%	8.1%	0.78	3.14
Huston Street ('17)	3.4	57	24.5%	6.7%	0.93	2.95
Paul Assenmacher ('86-'99, 12 WAR*)	4.3	61	27.8%*	8.3%*	0.98*	3.61*
Jay Howell ('80-'94, 14 WAR*)	4.2	60	25.4%*	8.2%*	0.80*	3.74*
Larry Andersen ('75-'94, 14 WAR*)	5.0	71	24.2%*	7.4%*	0.75*	3.53*