Landen Roupp

P San Francisco Giants

Age 28 RHP 6'2" / 220 lbs MLB Svc 1.0 · Ctrl thru 2031 peak 2.1 · 2027

Overview

MLBSP40-MANPre-ArbFA 2032

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	MIX3 levels	34	12	77	3.40	2.85	27.5%	12.3%	1.6	K 23.7% · BB 12.6% · FIP 3.27
2025	26	MIX2 levels	23	23	110	3.86	3.67	21.7%	9.0%	1.6	K 21.4% · BB 9.2% · FIP 3.83
2026	27	MLBSF	29	29	155	4.01	3.63	21.8%	11.4%	2.4
2027PROJ	28	MLBSF	25	25	150	4.09	4.30	21.4%	11.1%	1.1
2028PROJ95% MLB	29	MLBSF	23	23	136	4.21	4.36	20.8%	11.3%	0.7
2029PROJ95% MLB	30	MLBSF	21	21	128	4.42	4.56	20.1%	11.6%	0.3

Last 3 seasons WAR 5.6 · Next 3 projected WAR 2.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.494First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$2M2030Arb-2$3M2031Arb-3$3M

Skills · percentileStatcast 2026

xwOBA vs60

K%47

Whiff%44

FB Velo27

CompsTaylor Jungmann (age 27) · Chase Anderson (age 28) · Brad Peacock (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 109101vR 93

ERA4.09

FIP4.30

K%21.4%

BB%11.1%

K-BB%10.3%

Proj IP150

Value2027 · WAR

Runs saved vs league avg · 150 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$8M ctrl surplus

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL4040

CMD4545

K†5050

Statcast Percentiles

FB Velo

p2792.9

Whiff%

p4424.4%

p4721.8%

xwOBA vs

p600.302

FB+3.6 (40%)

CH+3.0 (20%)

SI (34%)

CU (26%)

CT-2.4 (14%)

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2024

Service 1.494 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+1.1	$9M	+$8M
2028	Pre-Arb	$0.8M	+0.7	$3M	+$2M
2029	Arb-1	$2M	+0.3	$1M	+$0.0M (cut)
2030	Arb-2	$3M	—	—	—
2031	Arb-3	$3M	—	—	—
Totals		$2M		$12M	+$10M

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 + 2027 so far)
2021	22	MIX MLE	2 levels	5	0	8	31	14	1	0	0%	1.6	45.2%	3.2%	41.9%	0.0%	2.25	-0.31	—
2021	22	MIX RAW	2 levels	5	0	8	31	14	1	0	0%	1.6	45.2%	3.2%	41.9%	0.0%	2.25	-0.02	—
2022	23	MIX MLE	3 levels	26	14	107	432	152	37	6	54%	4.1	26.9%	9.8%	17.1%	1.7%	2.60	3.02	—
2022	23	MIX RAW	3 levels	26	14	107	432	152	37	6	54%	4.1	35.2%	8.6%	26.6%	1.4%	2.60	2.03	—
2023	24	AA MLE	Richmond Flying Squirrels	10	10	31	120	42	9	1	100%	3.1	28.3%	8.2%	20.1%	1.1%	1.74	2.36	—
2023	24	AA RAW	Richmond Flying Squirrels	10	10	31	120	42	9	1	100%	3.1	35.0%	7.5%	27.5%	0.8%	1.74	1.68	—
2024	25	MIX MLE	3 levels	34	12	77	324	89	40	3	35%	2.3	23.7%	12.6%	11.1%	1.1%	3.40	3.27	+1.2
2024	25	MIX MLE	3 levels	34	12	77	324	89	40	3	35%	2.3	23.7%	12.6%	11.1%	1.1%	3.40	3.27	+1.2
2024	25	MIX RAW	3 levels	34	12	77	324	89	40	3	35%	2.3	27.5%	12.3%	15.1%	0.9%	3.40	2.85	+1.6
2025	26	MIX MLE	2 levels	23	23	110	488	106	44	11	100%	4.8	21.4%	9.2%	12.2%	2.5%	3.86	3.83	+1.4
2025	26	MIX MLE	2 levels	23	23	110	488	106	44	11	100%	4.8	21.4%	9.2%	12.2%	2.5%	3.86	3.83	+1.4
2025	26	MIX RAW	2 levels	23	23	110	488	106	44	11	100%	4.8	21.7%	9.0%	12.7%	2.3%	3.86	3.67	+1.6
2026	27	MLB MLE	San Francisco Giants	29	29	155	657	143	75	11	100%	5.3	21.8%	11.4%	10.4%	1.8%	4.01	3.70	+2.2
2026	27	MLB MLE	San Francisco Giants	29	29	155	657	143	75	11	100%	5.3	21.8%	11.4%	10.4%	1.8%	4.01	3.70	+2.2
2026	27	MLB RAW	San Francisco Giants	29	29	155	657	143	75	11	100%	5.3	21.8%	11.4%	10.4%	1.7%	4.01	3.63	+2.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			74	55	312	1350	292	145	24	74%	4.2	21.6%	10.7%	10.9%	1.8%	3.87	3.62	+4.8
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	SF	25	25	150	633	135	70	14	100%	6.0	21.4%	11.1%	10.3%	2.2%	4.09	4.30	+1.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	SF	24	24	144	606	126	69	14	100%	6.0	20.8%	11.3%	9.5%	2.4%	4.31	4.46	+0.7
2029	30	MLB MLE	SF	22	22	135	570	115	66	15	100%	6.1	20.1%	11.6%	8.5%	2.6%	4.53	4.67	+0.4
2030	31	MLB MLE	SF	21	21	126	532	103	64	15	100%	6.0	19.3%	11.9%	7.4%	2.8%	4.75	4.90	0.0
2031	32	MLB MLE	SF	19	19	116	492	91	61	15	100%	6.1	18.5%	12.3%	6.2%	3.1%	4.99	5.16	-0.3
2028	29	MLB CTX	SF	23	23	136	574	119	65	13	100%	5.9	20.8%	11.3%	9.5%	2.2%	4.21	4.36	+0.7
2029	30	MLB CTX	SF	21	21	128	540	109	63	13	100%	6.1	20.1%	11.6%	8.5%	2.4%	4.42	4.56	+0.3
2030	31	MLB CTX	SF	20	20	120	507	98	61	13	100%	6.0	19.3%	11.9%	7.4%	2.6%	4.63	4.78	0.0
2031	32	MLB CTX	SF	18	18	111	469	87	58	13	100%	6.2	18.5%	12.3%	6.2%	2.8%	4.86	5.03	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		156	137	807	3440	705	391	76	88%	5.2	20.5%	11.4%	9.1%	2.2%	4.26	4.02	+8.4
/ 200 IP	—	RAW		39	34	200	853	175	97	19	88%	5.2	20.5%	11.4%	9.1%	2.2%	4.26	4.02	+2.1
Career	—	MLE		127	88	488	2052	489	214	36	69%	3.8	23.8%	10.4%	13.4%	1.8%	3.40	3.38	+5.4
/ 200 IP	—	MLE		52	36	200	842	200	88	15	69%	3.8	23.8%	10.4%	13.4%	1.8%	3.40	3.38	+1.3

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
Landen Roupp (OGILVIE)	—	—	4.30	21.4%	11.1%	2.2%	—	4.67	20.1%	8.5%	404	+0.37	—	—	—
Taylor Jungmann R 2017 · 3.88 FIP	27	SP-	3.88	18.8%	11.1%	1.8%	.279	—	—	—	—	—	3.59	435	71
Chase Anderson R 2016 · 4.83 FIP	28	SP	4.83	18.5%	8.2%	4.1%	.285	4.25	21.3%	13.3%	438	-0.58	3.30	1,260	71
Brad Peacock R 2016 · 3.97 FIP	28	SP-	3.97	20.9%	8.7%	2.8%	.302	3.45	29.4%	20.4%	289	-0.52	2.97	748	71
David Phelps R 2015 · 3.94 FIP	28	SP	3.94	16.0%	6.8%	2.4%	.299	2.82	29.9%	20.6%	142	-1.12	2.50	672	70
Rodrigo Lopez R 2004 · 4.21 FIP	28	SP-	4.21	16.9%	7.3%	2.9%	.275	4.57	14.2%	7.8%	478	+0.36	4.06	1,344	67
Zack Godley R 2018 · 3.56 FIP	28	SP	3.56	23.4%	10.0%	2.1%	.315	5.07	17.6%	6.5%	219	+1.51	3.21	953	64
Victor Santos R 2005 · 4.67 FIP	28	SP	4.67	13.9%	8.1%	3.1%	.278	4.90	16.0%	7.8%	179	+0.23	4.09	602	63
Jesse Hahn R 2017 · 3.66 FIP	28	SP	3.66	16.6%	9.7%	1.3%	.327	2.19	29.2%	16.9%	17	-1.47	2.19	499	63
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	3.73	613	62
Nate Karns R 2016 · 3.88 FIP	28	SP-	3.88	24.2%	10.6%	2.7%	.322	4.46	27.1%	20.7%	45	+0.58	3.88	299	62
Patrick Johnson R 2016 · 3.82 FIP	27	SP-	3.82	17.3%	6.9%	2.4%	.286	4.14	15.7%	6.4%	120	+0.32	3.82	248	61
Paul Clemens R 2016 · 4.58 FIP	28	SP	4.58	17.6%	9.1%	3.3%	.271	4.72	14.9%	3.9%	53	+0.14	4.58	345	61
Sonny Gray R 2018 · 3.79 FIP	28	SP-	3.79	21.1%	9.8%	2.2%	.320	3.21	28.5%	19.1%	367	-0.58	2.55	2,087	61
Lucas Harrell R 2013 · 5.12 FIP	28	SP-	5.12	12.6%	11.7%	2.9%	.299	4.18	15.5%	2.7%	121	-0.94	2.81	541	60
Bud Norris R 2013 · 3.68 FIP	28	SP	3.68	19.0%	8.7%	2.0%	.330	4.05	20.0%	11.9%	361	+0.37	3.51	1,221	59
Tyler Wilson R 2017 · 4.45 FIP	27	SP-	4.45	12.1%	7.0%	2.7%	.311	—	—	—	—	—	3.62	377	59
Hector Velázquez R 2017 · 3.65 FIP	28	SP-	3.65	18.0%	6.6%	2.2%	.251	4.28	16.7%	7.4%	158	+0.63	2.75	536	59
Jorge Sosa R 2005 · 4.23 FIP	28	SW	4.23	14.7%	9.7%	2.1%	.259	4.99	14.0%	6.8%	252	+0.76	4.06	773	58
Jason Hammel R 2011 · 4.52 FIP	28	SP	4.52	12.7%	8.8%	2.5%	.275	3.89	20.3%	13.2%	434	-0.63	3.10	1,810	58
Cha Seung Baek R 2008 · 4.29 FIP	28	SP-	4.29	15.3%	6.6%	3.0%	.283	—	—	—	—	—	3.35	280	58

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,853 starter careers (497 from 1990-2025 + 1,356 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	4.9	123	20.6%	11.4%	0.90	4.30
Daisuke Matsuzaka ('14)	4.0	99	20.9%	11.2%	0.97	4.45
Tom Phoebus ('66-'72, 10 WAR*)	5.2	147	21.2%*	11.0%*	1.06*	4.25*
Joe Decker ('69-'79, 6 WAR*)	3.5	101	21.4%*	11.8%*	1.04*	4.49*
Bill Foxen ('08-'11, 3 WAR*)	1.6	109	20.0%*	11.2%*	0.86*	4.12*
Ian Anderson ('25)	1.4	94	22.2%	10.5%	0.99	4.22
Tyson Ross ('19)	4.5	101	21.2%	10.1%	0.73	4.04