Rorik Maltrud

P Columbus Clippers

Age 27 RHP 6'3" / 223 lbs AAA Svc 0.0 · Ctrl thru 2034 peak 0.6 · 2027

Overview

AAAPROSPECTMiLBFA 2035

OGV OFP35OGV rank#1118ETA2028MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX2 levels	24	19	105	3.44	2.99	27.1%	8.3%	—	K 20.4% · BB 9.6% · FIP 3.91
2025	25	AACLE	19	19	64	4.38	3.60	25.2%	11.1%	—	K 20.4% · BB 12.2% · FIP 4.51
2026	26	AAACLE	28	22	129	3.90	4.05	20.6%	8.6%	—	K 17.7% · BB 7.7% · FIP 4.34
2027PROJ	27	MLBCLE	2	2	15	4.85	4.85	18.3%	9.7%	0.1
2028PROJ43% MLB	28	MLBCLE	9	9	52	4.84	4.87	18.6%	9.6%	0.3
2029PROJ59% MLB	29	MLBCLE	10	10	62	4.89	4.96	18.6%	9.7%	0.3

Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Ext$0.9M2032Ext$3M2033Ext$5M2034Ext$7M

Scouting grades · 20-80

Stuff50Control40Command45

Career WAR0.0 WAR median (P10 -0.5 / P90 0.9, comp-based) · star 0% · didn't stick 95%

CompsJared Mortensen (age 27) · Patrick Johnson (age 27) · Nestor Molina (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 109

ERA4.85

FIP4.85

K%18.3%

BB%9.7%

K-BB%8.7%

Proj IP149

Value2027 · WAR

Runs saved vs league avg · 149 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Grades · Contract

Scouting Grades

STUF5050

CTRL4040

CMD4545

K†4545

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2030	Pre-Arb	$0.8M	+0.2	$0.6M	+$0.0M
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$2M	+$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 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)
2024	24	MIX MLE	2 levels	24	19	105	436	118	36	9	79%	4.4	20.4%	9.6%	10.8%	2.4%	3.44	3.91	—
2024	24	MIX MLE	2 levels	24	19	105	436	118	36	9	79%	4.4	20.4%	9.6%	10.8%	2.4%	3.44	3.91	—
2024	24	MIX RAW	2 levels	24	19	105	436	118	36	9	79%	4.4	27.1%	8.3%	18.8%	2.1%	3.44	2.99	—
2025	25	AA MLE	Akron RubberDucks	19	19	64	270	68	30	6	100%	3.4	20.4%	12.2%	8.2%	2.9%	4.38	4.51	—
2025	25	AA MLE	Akron RubberDucks	19	19	64	270	68	30	6	100%	3.4	20.4%	12.2%	8.2%	2.9%	4.38	4.51	—
2025	25	AA RAW	Akron RubberDucks	19	19	64	270	68	30	6	100%	3.4	25.2%	11.1%	14.1%	2.2%	4.38	3.60	—
2026	26	AAA MLE	Columbus Clippers	28	22	129	548	113	47	16	79%	4.6	17.7%	7.7%	10.0%	3.2%	3.90	4.34	—
2026	26	AAA MLE	Columbus Clippers	28	22	129	548	113	47	16	79%	4.6	17.7%	7.7%	10.0%	3.2%	3.90	4.34	—
2026	26	AAA RAW	Columbus Clippers	28	22	129	548	113	47	16	79%	4.6	20.6%	8.6%	12.0%	2.9%	3.90	4.05	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	CLE	2	2	15	63	12	6	2	100%	7.5	18.3%	9.7%	8.7%	3.1%	4.85	4.85	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	CLE	20	20	121	512	95	49	16	100%	6.1	18.6%	9.6%	8.9%	3.2%	4.84	4.87	+0.7
2029	29	MLB MLE	CLE	17	17	105	442	82	43	15	100%	6.2	18.6%	9.7%	8.9%	3.3%	4.89	4.96	+0.5
2030	30	MLB MLE	CLE	15	15	93	392	72	39	14	100%	6.2	18.4%	9.9%	8.5%	3.5%	5.00	5.10	+0.3
2028	28	MLB CTX	CLE	9	9	52	220	41	21	7	100%	5.8	18.6%	9.6%	8.9%	3.2%	4.84	4.87	+0.3
2029	29	MLB CTX	CLE	10	10	62	262	49	25	9	100%	6.2	18.6%	9.7%	8.9%	3.3%	4.89	4.96	+0.3
2030	30	MLB CTX	CLE	11	11	65	274	50	27	10	100%	5.9	18.4%	9.9%	8.5%	3.5%	5.00	5.10	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		30	30	179	755	140	74	25	100%	6.0	18.5%	9.7%	8.8%	3.3%	4.91	4.60	+1.7
/ 200 IP	—	RAW		33	33	200	844	157	83	28	100%	6.0	18.5%	9.7%	8.8%	3.3%	4.91	4.60	+1.9
Career	—	MLE		71	60	298	1254	241	117	36	85%	4.2	19.2%	9.3%	9.9%	2.9%	3.84	4.23	+1.6
/ 200 IP	—	MLE		48	40	200	843	162	79	24	85%	4.2	19.2%	9.3%	9.9%	2.9%	3.84	4.23	+1.0

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.

2026 AAAColumbus Clippers · 129 IPFIP 4.05 → 4.34 (+0.30)K% 20.6% → 17.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.62%	—	×0.860	17.73%
BB% (unintentional) /BF	8.58%	—	×0.900	7.72%
HR / BF /BF	2.92%	÷1.000	×1.100	3.21%

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 100).

Result: FIP 4.05 → 4.34, 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).

2025 AAAkron RubberDucks · 64 IPFIP 3.60 → 4.51 (+0.91)K% 25.2% → 20.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.19%	—	×0.810	20.40%
BB% (unintentional) /BF	11.11%	—	×1.100	12.22%
HR / BF /BF	2.22%	÷0.926	×1.200	2.88%

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 85).

Result: FIP 3.60 → 4.51, 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).

2024 A+Lake County Captains · 52 IPFIP 3.93 → 4.68 (+0.75)K% 24.6% → 18.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.56%	—	×0.770	18.91%
BB% (unintentional) /BF	9.65%	—	×1.150	11.10%
HR / BF /BF	3.07%	÷1.190	×1.250	3.23%

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 138).

Result: FIP 3.93 → 4.68, 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).

2024 ALynchburg Hillcats · 53 IPFIP 1.96 → 3.06 (+1.09)K% 29.8% → 22.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.81%	—	×0.740	22.06%
BB% (unintentional) /BF	6.73%	—	×1.180	7.94%
HR / BF /BF	0.96%	÷0.844	×1.300	1.48%

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 69).

Result: FIP 1.96 → 3.06, 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
Rorik Maltrud (OGILVIE)	—	—	4.85	18.3%	9.7%	3.1%	—	4.97	18.5%	8.8%	319	+0.12	—	—	—
Jared Mortensen R 2015 · 4.42 FIP	27	SP-	4.42	16.9%	7.8%	3.2%	.287	4.99	20.9%	2.1%	72	+0.57	4.42	200	86
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	83
Nestor Molina R 2016 · 4.83 FIP	27	SP	4.83	15.0%	8.0%	3.6%	.304	3.61	17.0%	10.2%	289	-1.22	3.01	401	81
Deck McGuire R 2016 · 5.23 FIP	27	SP	5.23	17.2%	8.5%	4.6%	.287	4.05	19.8%	9.4%	277	-1.18	3.41	622	78
Bradin Hagens R 2015 · 3.79 FIP	26	SP-	3.79	14.6%	9.8%	1.2%	.277	4.92	14.9%	5.0%	55	+1.13	3.79	254	78
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	78
Brannon Easterling R 2017 · 4.40 FIP	26	SP-	4.40	12.7%	8.2%	2.4%	.322	—	—	—	—	—	3.50	334	77
Luke Irvine R 2016 · 4.31 FIP	27	SP-	4.31	13.4%	9.8%	2.0%	.302	—	—	—	—	—	4.31	104	77
Chandler Champlain R 2024 · 4.72 FIP	25	SP	4.72	16.7%	8.1%	3.6%	.298	4.77	15.3%	8.7%	247	+0.05	4.56	628	76
Marco Antonio Duarte R 2015 · 4.07 FIP	28	SP	4.07	15.5%	9.1%	2.0%	.306	4.73	9.0%	-1.2%	38	+0.66	4.07	203	76
Nate Long R 2015 · 4.67 FIP	29	SP	4.67	14.8%	10.6%	2.7%	.285	—	—	—	—	—	4.67	151	76
Juan Carlos Sulbaran R 2016 · 4.65 FIP	26	SP	4.65	15.0%	8.9%	3.1%	.289	—	—	—	—	—	4.65	278	76
Frank Batista R 2015 · 4.29 FIP	26	SP-	4.29	12.1%	8.2%	2.1%	.280	—	—	—	—	—	4.29	118	76
Chi Chi González R 2019 · 4.99 FIP	27	SP	4.99	16.7%	10.5%	3.6%	.302	4.55	15.3%	7.8%	225	-0.44	4.01	800	76
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	75
Daniel Ponce de Leon R 2019 · 4.09 FIP	27	SP	4.09	22.8%	12.0%	2.5%	.246	5.09	22.7%	10.1%	182	+1.00	3.35	768	75
Riley Gowens R 2024 · 4.55 FIP	24	SP	4.55	22.6%	10.3%	3.7%	.279	4.37	21.3%	12.1%	173	-0.18	4.30	295	75
Brian Edgington R 2024 · 3.99 FIP	25	SP	3.99	19.5%	6.5%	3.1%	.321	5.28	19.3%	7.0%	58	+1.29	3.99	171	75
Nic Swanson R 2024 · 4.91 FIP	25	SP	4.91	19.3%	11.8%	3.5%	.286	5.43	19.9%	6.5%	132	+0.52	4.29	438	75
Taylor Jungmann R 2017 · 3.88 FIP	27	SP-	3.88	18.8%	11.1%	1.8%	.279	—	—	—	—	—	3.59	435	75

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 927 starter careers (497 from 1990-2025 + 430 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	2.3	117	18.4%	9.7%	1.25	4.89
Brandon Claussen ('06)	1.6	105	16.0%	8.5%	1.37	5.04
Dave Stenhouse ('62-'64, 2 WAR*)	1.9	124	17.9%*	10.5%*	1.33*	4.51*
John Maine ('13)	3.0	99	19.5%	10.5%	1.23	4.45
James Kaprielian ('23)	1.6	106	20.5%	9.7%	1.30	4.61
Jeff Robinson ('87-'92, 0 WAR*)	3.5	118	18.3%*	10.9%*	1.38*	5.14*
Brian Kingman ('79-'83, 3 WAR*)	2.8	138	18.4%*	8.6%*	1.10*	4.62*