Matt Ruppenthal — OGILVIE

Matt Ruppenthal P Sugar Land Space Cowboys

Age 30 RHP 6'4" / 225 lbs AAA

2026 ROS PROJECTION0 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 123115vR 107

ERA4.73

FIP4.73

K%20.8%

BB%10.6%

K-BB%10.3%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 2 IP

Grades · Contract

Scouting Grades

K†5050

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 industry-standard fWAR.

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 + 2026 so far)
2018	22	ROK MLE	GCL Astros	2	2	2	11	5	1	0	100%	1.2	45.5%	9.1%	36.4%	0.0%	3.86	0.41	—
2018	22	ROK RAW	GCL Astros	2	2	2	11	5	1	0	100%	1.2	45.5%	9.1%	36.4%	0.0%	3.86	0.10	—
2019	23	A MLE	Quad Cities River Bandits	24	14	100	429	111	52	7	58%	4.2	19.1%	14.3%	4.8%	2.2%	4.33	4.50	—
2019	23	A RAW	Quad Cities River Bandits	24	14	100	429	111	52	7	58%	4.2	25.9%	12.1%	13.8%	1.6%	4.33	3.35	—
2021	25	MIX MLE	2 levels	23	12	82	369	88	45	9	52%	3.6	18.5%	13.8%	4.8%	2.7%	5.60	4.76	—
2021	25	MIX RAW	2 levels	23	12	82	369	88	45	9	52%	3.6	23.8%	12.2%	11.7%	2.4%	5.60	4.03	—
2022	26	MIX MLE	2 levels	45	0	64	286	87	42	4	0%	1.4	25.4%	16.4%	9.0%	1.3%	4.95	3.74	—
2022	26	MIX RAW	2 levels	45	0	64	286	87	42	4	0%	1.4	30.4%	14.7%	15.7%	1.4%	4.95	3.16	—
2023	27	MIX MLE	2 levels	34	1	47	230	51	31	6	3%	1.4	18.1%	12.5%	5.6%	3.6%	6.13	5.15	—
2023	27	MIX MLE	2 levels	34	1	47	230	51	31	6	3%	1.4	18.1%	12.5%	5.6%	3.6%	6.13	5.15	—
2023	27	MIX RAW	2 levels	34	1	47	230	51	31	6	3%	1.4	22.2%	13.5%	8.7%	2.6%	6.13	4.57	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	30	MLB	HOU	2	0	2	8	2	1	0	0%	1.0	20.8%	10.6%	10.3%	3.0%	4.73	4.73	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	HOU	21	0	22	92	19	10	3	0%	1.0	20.7%	10.8%	9.9%	3.3%	4.81	4.89	-0.1
2027	31	MLB CTX	HOU	8	0	8	34	7	4	1	0%	1.0	20.7%	10.8%	9.9%	3.3%	4.81	4.89	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	8	34	7	4	1	0%	1.0	20.7%	10.8%	9.9%	3.3%	4.81	4.51	+0.0
/ 200 IP	—	RAW		190	0	200	844	174	99	25	0%	1.1	20.7%	10.8%	9.9%	3.3%	4.81	4.51	+0.1
Career	—	MLE		128	29	295	1325	270	189	31	23%	2.3	20.4%	14.3%	6.1%	2.4%	5.10	4.49	-0.1
/ 200 IP	—	MLE		87	20	200	899	183	128	21	23%	2.3	20.4%	14.3%	6.1%	2.4%	5.10	4.49	-0.8

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
Matt Ruppenthal (OGILVIE)	—	—	4.73	20.8%	10.6%	3.0%	—	4.89	20.7%	9.9%	22	+0.16	—	—	—
Tim Dillard R 2015 · 3.58 FIP	32	SW	3.58	15.9%	7.7%	1.5%	.330	3.85	16.7%	8.1%	144	+0.27	3.13	352	77
Bud Norris R 2015 · 4.68 FIP	30	SW	4.68	18.8%	8.2%	3.9%	.327	3.78	24.2%	15.5%	233	-0.90	3.51	316	77
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	76
Yoanner Negrin R 2015 · 3.79 FIP	31	SW	3.79	15.1%	7.5%	1.9%	.256	3.29	15.0%	8.5%	270	-0.50	3.15	485	75
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	75
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	74
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	74
Chris Leroux R 2015 · 4.20 FIP	31	SU	4.20	15.2%	8.6%	2.4%	.279	4.08	13.5%	5.5%	140	-0.12	4.08	219	74
Mike Broadway R 2017 · 4.73 FIP	30	SU	4.73	18.3%	10.2%	3.4%	.245	4.65	23.0%	12.4%	49	-0.08	1.74	195	72
Javy Guerra R 2016 · 4.29 FIP	30	SU	4.29	21.3%	13.9%	2.3%	.303	3.95	19.5%	13.0%	193	-0.34	2.95	260	72
Cody Satterwhite R 2017 · 4.22 FIP	30	SU	4.22	17.0%	7.1%	3.0%	.310	—	—	—	—	—	3.69	147	72
Felipe Arredondo R 2017 · 4.76 FIP	30	SW	4.76	14.8%	7.3%	3.6%	.311	4.65	16.2%	9.1%	64	-0.11	3.92	337	72
Jason Urquidez R 2015 · 3.59 FIP	32	SU	3.59	15.6%	9.3%	1.1%	.386	1.81	25.5%	20.7%	90	-1.78	1.25	123	71
Tanner Scheppers R 2017 · 4.86 FIP	30	SU	4.86	15.7%	6.7%	4.1%	.301	—	—	—	—	—	4.37	101	70
Logan Kensing R 2015 · 3.56 FIP	33	SU	3.56	17.6%	8.8%	1.5%	.270	3.06	17.9%	10.0%	124	-0.50	2.73	172	70
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	70
Edwin Jackson R 2015 · 3.77 FIP	31	SU	3.77	17.5%	8.8%	1.9%	.244	4.71	17.6%	7.8%	377	+0.94	3.77	521	70
Rodolfo Aguirre R 2015 · 4.29 FIP	30	SW	4.29	12.4%	6.9%	2.5%	.288	4.81	11.4%	1.3%	125	+0.52	3.39	212	69
André Rienzo R 2017 · 4.40 FIP	29	SW	4.40	18.9%	15.6%	1.7%	.301	5.33	17.9%	6.1%	29	+0.93	3.53	200	69
Fredy Quintero R 2017 · 4.45 FIP	29	SW	4.45	14.0%	8.7%	2.6%	.335	4.62	17.2%	3.5%	43	+0.17	4.29	241	69