Jaden Hamm — OGILVIE

Jaden Hamm P Erie SeaWolves

Age 23 RHP 6'1" / 190 lbs AA Svc 0.0 · Ctrl thru 2032 peak 1.1 · 2029

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 126118vR 110

ERA4.90

FIP4.90

K%18.6%

BB%10.1%

K-BB%8.5%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$0M ctrl surplus

Grades · Contract

Scouting Grades

OFP—40

STUF4550

CTRL—45

CMD3545

K†4555

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+0.1	$0.4M	+$0.0M (cut)
2028	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.3	$1.0M	+$0.3M
2030	Arb-1	$2M	+0.3	$0.9M	+$0.0M (cut)
2031	Arb-2	$3M	+0.2	$0.5M	+$0.0M (cut)
2032	Arb-3	$3M	+0.1	$0.3M	+$0.0M (cut)
Totals		$2M		$4M	+$0.4M

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)
2023	20	MIX MLE	2 levels	5	5	12	41	12	1	0	100%	2.4	29.3%	2.4%	26.8%	0.0%	0.00	0.94	—
2023	20	MIX MLE	2 levels	5	5	12	41	12	1	0	100%	2.4	29.3%	2.4%	26.8%	0.0%	0.00	0.94	—
2023	20	MIX RAW	2 levels	5	5	12	41	12	1	0	100%	2.4	29.3%	2.4%	26.8%	0.0%	0.00	1.35	—
2024	21	A+ MLE	West Michigan Whitecaps	24	23	99	399	122	31	8	96%	4.1	23.5%	8.9%	14.6%	2.8%	2.64	3.79	—
2024	21	A+ MLE	West Michigan Whitecaps	24	23	99	399	122	31	8	96%	4.1	23.5%	8.9%	14.6%	2.8%	2.64	3.79	—
2024	21	A+ RAW	West Michigan Whitecaps	24	23	99	399	122	31	8	96%	4.1	30.6%	7.8%	22.8%	2.0%	2.64	2.63	—
2025	22	MIX MLE	2 levels	22	22	88	384	80	37	11	100%	4.0	17.1%	9.8%	7.3%	3.5%	4.70	4.79	—
2025	22	MIX MLE	2 levels	22	22	88	384	80	37	11	100%	4.0	17.1%	9.8%	7.3%	3.5%	4.70	4.79	—
2025	22	MIX RAW	2 levels	22	22	88	384	80	37	11	100%	4.0	20.8%	9.6%	11.2%	2.9%	4.70	4.17	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	23	MLB	DET	1	1	1	4	1	0	0	100%	1.0	18.6%	10.1%	8.5%	3.1%	4.90	4.90	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	24	MLB MLE	DET	16	16	91	385	77	37	12	100%	5.7	19.9%	9.5%	10.3%	3.1%	4.75	4.70	+0.2
2028	25	MLB MLE	DET	16	16	92	390	80	36	12	100%	5.8	20.6%	9.2%	11.3%	3.1%	4.64	4.59	+0.3
2029	26	MLB MLE	DET	15	15	92	390	82	36	12	100%	6.2	20.9%	9.1%	11.8%	3.0%	4.57	4.54	+0.4
2030	27	MLB MLE	DET	15	15	91	384	80	35	12	100%	6.1	20.9%	9.2%	11.8%	3.1%	4.57	4.57	+0.3
2031	28	MLB MLE	DET	15	15	88	373	78	35	12	100%	5.9	20.8%	9.3%	11.5%	3.2%	4.62	4.66	+0.2
2032	29	MLB MLE	DET	14	14	84	356	73	34	12	100%	6.0	20.5%	9.5%	11.0%	3.3%	4.72	4.79	+0.1
2033	30	MLB MLE	DET	13	13	79	334	74	30	12	100%	6.1	22.2%	9.0%	13.2%	3.5%	4.71	4.70	+0.2
2034	31	MLB MLE	DET	12	12	74	312	68	29	12	100%	6.2	21.8%	9.4%	12.4%	3.8%	4.82	4.90	0.0
2027	24	MLB CTX	DET	7	7	40	169	34	16	5	100%	5.7	19.9%	9.5%	10.3%	2.9%	4.68	4.63	+0.1
2028	25	MLB CTX	DET	11	11	62	262	54	24	8	100%	5.6	20.6%	9.2%	11.3%	2.9%	4.57	4.52	+0.2
2029	26	MLB CTX	DET	12	12	73	308	64	28	9	100%	6.1	20.9%	9.1%	11.8%	2.9%	4.50	4.47	+0.3
2030	27	MLB CTX	DET	13	13	78	329	69	30	10	100%	6.0	20.9%	9.2%	11.8%	3.0%	4.50	4.50	+0.3
2031	28	MLB CTX	DET	13	13	79	334	69	31	10	100%	6.1	20.8%	9.3%	11.5%	3.1%	4.55	4.59	+0.2
2032	29	MLB CTX	DET	13	13	77	325	67	31	10	100%	5.9	20.5%	9.5%	11.0%	3.2%	4.64	4.71	+0.1
2033	30	MLB CTX	DET	12	12	73	308	68	28	10	100%	6.1	22.2%	9.0%	13.2%	3.4%	4.63	4.62	+0.2
2034	31	MLB CTX	DET	12	12	69	291	64	27	11	100%	5.8	21.8%	9.4%	12.4%	3.6%	4.73	4.81	0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		92	92	550	2323	488	216	73	100%	6.0	21.0%	9.3%	11.7%	3.1%	4.59	4.22	+4.4
/ 200 IP	—	RAW		34	34	200	844	177	79	27	100%	6.0	21.0%	9.3%	11.7%	3.1%	4.59	4.22	+1.6
Career	—	MLE		51	50	199	824	171	74	25	98%	3.9	20.8%	9.0%	11.8%	3.0%	3.39	4.12	+1.8
/ 200 IP	—	MLE		51	50	200	828	172	74	25	98%	3.9	20.8%	9.0%	11.8%	3.0%	3.39	4.12	+0.5

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
Jaden Hamm (OGILVIE)	—	—	4.90	18.6%	10.1%	3.1%	—	4.61	20.4%	11.1%	276	-0.29	—	—	—
Marcelo Perez R 2023 · 3.84 FIP	23	SP	3.84	18.0%	8.6%	2.1%	.288	4.99	14.7%	7.3%	238	+1.15	3.84	306	88
Chad Patrick R 2022 · 3.86 FIP	23	SP	3.86	20.3%	9.9%	2.2%	.315	4.22	21.7%	13.8%	422	+0.36	3.71	565	88
Jared Karros R 2023 · 4.77 FIP	22	SP	4.77	19.0%	8.9%	3.9%	.290	5.26	17.8%	8.3%	120	+0.49	3.36	191	86
Riley Thompson R 2019 · 4.69 FIP	23	SP	4.69	16.5%	9.4%	3.3%	.288	5.32	21.7%	7.0%	57	+0.63	4.53	340	86
Ryan Jensen R 2021 · 4.86 FIP	23	SP	4.86	21.4%	10.8%	4.0%	.236	4.51	21.6%	4.7%	180	-0.35	4.00	311	86
Will Rudy R 2023 · 4.76 FIP	22	SP	4.76	15.2%	9.2%	3.3%	.299	5.28	17.4%	8.6%	113	+0.52	4.76	194	86
Cameron Foster R 2023 · 4.31 FIP	24	SP	4.31	18.9%	10.3%	2.7%	.329	4.05	20.9%	10.9%	132	-0.26	2.54	213	85
John Klein R 2023 · 4.47 FIP	21	SP	4.47	17.4%	11.4%	2.5%	.287	4.09	19.4%	9.7%	290	-0.38	3.21	343	85
CJ Van Eyk R 2021 · 4.79 FIP	22	SP	4.79	21.8%	12.7%	3.5%	.302	4.64	15.2%	5.3%	127	-0.15	4.17	438	85
Trent Palmer R 2022 · 4.79 FIP	23	SP	4.79	22.0%	10.4%	4.1%	.284	4.83	12.8%	-9.4%	22	+0.04	3.51	140	84
Cody Laweryson R 2021 · 4.06 FIP	23	SP	4.06	21.7%	8.4%	3.1%	.329	3.50	21.2%	12.6%	178	-0.56	2.48	298	84
Brandon White R 2023 · 4.93 FIP	23	SP	4.93	16.7%	10.3%	3.5%	.264	4.07	17.4%	10.5%	280	-0.86	3.90	299	84
Tyler Skulina R 2015 · 4.28 FIP	23	SP	4.28	18.3%	11.6%	2.3%	.242	5.34	13.0%	-1.0%	147	+1.06	4.28	222	84
Tommy Mace R 2022 · 5.47 FIP	23	SP	5.47	16.0%	12.1%	4.0%	.261	5.04	14.6%	2.7%	376	-0.43	4.86	501	84
Ryan Harvey R 2023 · 5.20 FIP	22	SP	5.20	16.7%	13.1%	3.4%	.294	4.50	17.0%	5.9%	87	-0.70	4.08	133	83
Mike Ruff R 2021 · 4.00 FIP	23	SP	4.00	18.5%	12.4%	1.6%	.301	5.73	16.0%	5.0%	185	+1.73	4.00	260	83
TJ Shook R 2021 · 4.90 FIP	23	SP	4.90	21.7%	13.8%	3.4%	.311	4.98	20.7%	10.3%	296	+0.08	3.35	451	83
Bryce Conley R 2018 · 4.71 FIP	23	SP-	4.71	20.2%	12.2%	3.2%	.269	4.88	17.4%	3.3%	197	+0.17	4.22	560	83
Dinelson Lamet R 2015 · 4.36 FIP	23	SP	4.36	20.1%	11.8%	2.7%	.272	3.69	24.2%	13.1%	293	-0.67	2.11	778	82
Ryan Atkinson R 2016 · 4.58 FIP	23	SP-	4.58	18.4%	11.3%	2.9%	.315	4.48	21.6%	9.0%	305	-0.10	4.14	338	82

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	3.8	84	20.7%	9.4%	1.25	4.69
Daniel Norris ('22)	2.8	70	21.7%	8.5%	1.37	4.70
Matt Wisler ('22)	2.5	63	20.1%	7.6%	1.40	4.59
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98
Luis Cessa ('23)	2.1	53	18.3%	7.8%	1.40	4.43
Junior Guerra ('21)	2.5	84	21.3%	11.0%	1.16	4.04
Buck Farmer ('24)	2.5	50	21.6%	10.5%	1.23	4.59