Johnny Slawinski

P ACL Angels

Age 20 LHP ROK Svc 0.0 · Ctrl thru 2037 peak 1.1 · 2033

Overview

ROKPROSPECTMiLBFA 2038

OGV OFP40OGV rank#307ETA2028MLB%4%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	19	ROKLAA	12	12	54	3.33	1.97	35.8%	7.4%	—	K 24.3% · BB 9.3% · FIP 3.56
2027PROJ	20	MLBLAA	1	1	2	4.09	4.09	24.6%	8.3%	0.0
2028PROJ51% MLB	21	MLBLAA	5	5	26	4.06	4.01	24.9%	7.9%	0.4
2029PROJ74% MLB	22	MLBLAA	8	8	40	3.94	3.85	25.7%	7.4%	0.8

Next 3 projected WAR 1.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Career WAR0.0 WAR median (P10 -0.0 / P90 11, comp-based) · star 7% · didn't stick 80%

CompsJake Bennett (age 22) · Taylor Varnell (age 23) · Marcelo Martinez (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 95103vR 111

ERA4.09

FIP4.09

K%24.6%

BB%8.3%

K-BB%16.2%

Proj IP38

Value2027 · WAR

Runs saved vs league avg · 38 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$50M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2033	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2034	Pre-Arb	$1.0M	+1.1	$5M	+$5M
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$17M	+$15M

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)
2026	19	ROK MLE	ACL Angels	12	12	54	229	82	17	4	100%	4.5	24.3%	9.3%	15.1%	2.4%	3.33	3.56	—
2026	19	ROK MLE	ACL Angels	12	12	54	229	82	17	4	100%	4.5	24.3%	9.3%	15.1%	2.4%	3.33	3.56	—
2026	19	ROK RAW	ACL Angels	12	12	54	229	82	17	4	100%	4.5	35.8%	7.4%	28.4%	1.7%	3.33	1.97	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	LAA	1	1	2	8	2	1	0	100%	2.0	24.6%	8.3%	16.2%	3.0%	4.09	4.09	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	LAA	10	10	51	214	53	17	6	100%	5.1	24.9%	7.9%	16.9%	2.9%	4.03	3.98	+0.9
2029	22	MLB MLE	LAA	11	11	54	226	58	17	6	100%	4.9	25.7%	7.4%	18.3%	2.9%	3.91	3.82	+1.0
2030	23	MLB MLE	LAA	10	10	55	234	62	17	7	100%	5.5	26.3%	7.1%	19.2%	2.8%	3.80	3.70	+1.1
2031	24	MLB MLE	LAA	10	10	55	234	63	16	7	100%	5.5	26.8%	6.9%	19.9%	2.8%	3.70	3.62	+1.2
2032	25	MLB MLE	LAA	9	9	54	230	63	16	6	100%	6.1	27.2%	6.8%	20.4%	2.8%	3.62	3.57	+1.2
2033	26	MLB MLE	LAA	9	9	55	233	64	16	6	100%	6.1	27.4%	6.7%	20.7%	2.8%	3.57	3.54	+1.2
2034	27	MLB MLE	LAA	9	9	54	228	62	16	6	100%	6.0	27.4%	6.8%	20.6%	2.8%	3.58	3.58	+1.2
2028	21	MLB CTX	LAA	5	5	26	110	27	9	3	100%	5.2	24.9%	7.9%	16.9%	3.0%	4.06	4.01	+0.4
2029	22	MLB CTX	LAA	8	8	40	169	43	13	5	100%	5.0	25.7%	7.4%	18.3%	2.9%	3.94	3.85	+0.8
2030	23	MLB CTX	LAA	9	9	47	198	52	14	6	100%	5.2	26.3%	7.1%	19.2%	2.9%	3.83	3.73	+1.0
2031	24	MLB CTX	LAA	9	9	50	211	57	15	6	100%	5.6	26.8%	6.9%	19.9%	2.8%	3.73	3.65	+1.1
2032	25	MLB CTX	LAA	9	9	50	211	57	14	6	100%	5.6	27.2%	6.8%	20.4%	2.8%	3.65	3.60	+1.1
2033	26	MLB CTX	LAA	8	8	51	215	59	14	6	100%	6.4	27.4%	6.7%	20.7%	2.8%	3.60	3.57	+1.1
2034	27	MLB CTX	LAA	8	8	51	215	59	15	6	100%	6.4	27.4%	6.8%	20.6%	2.9%	3.61	3.61	+1.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		56	56	315	1329	354	93	38	100%	5.6	26.7%	7.0%	19.7%	2.9%	3.75	3.31	+8.1
/ 200 IP	—	RAW		36	36	200	844	225	59	24	100%	5.6	26.7%	7.0%	19.7%	2.9%	3.75	3.31	+5.2
Career	—	MLE		12	12	54	229	56	21	6	100%	4.5	24.3%	9.3%	15.1%	2.4%	3.33	3.56	+7.8
/ 200 IP	—	MLE		44	44	200	848	207	79	21	100%	4.5	24.3%	9.3%	15.1%	2.4%	3.33	3.56	+4.1

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 ROKACL Angels · 54 IPFIP 1.98 → 3.56 (+1.59)K% 35.8% → 24.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.81%	—	×0.680	24.35%
BB% (unintentional) /BF	7.42%	—	×1.250	9.28%
HR / BF /BF	1.75%	÷1.000	×1.400	2.45%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. 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 1.98 → 3.56, 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
Johnny Slawinski (OGILVIE)	—	—	—	—	—	3.0%	—	3.83	25.6%	18.2%	160	-0.26	—	—	—
Jake Bennett L 2023 · 3.41 FIP	22	SP	3.41	21.2%	7.2%	2.2%	.339	3.29	19.3%	13.9%	222	-0.12	3.22	285	81
Taylor Varnell L 2018 · 2.89 FIP	23	SP	2.89	22.5%	6.8%	1.5%	.252	3.95	19.5%	9.5%	202	+1.06	2.89	248	80
Marcelo Martinez L 2018 · 3.29 FIP	21	SP	3.29	22.0%	6.5%	2.2%	.303	5.47	18.6%	10.2%	234	+2.18	3.29	427	80
Adam Seminaris L 2021 · 3.94 FIP	22	SP	3.94	22.7%	8.3%	3.1%	.357	3.75	18.2%	9.3%	230	-0.19	3.00	577	79
Miguel Pozo L 2022 · 3.54 FIP	20	SP	3.54	23.2%	11.6%	1.7%	.312	5.04	16.5%	-5.7%	24	+1.50	3.54	110	79
Riley Frey L 2023 · 4.00 FIP	21	SP	4.00	22.5%	7.5%	3.4%	.417	4.47	18.0%	10.8%	184	+0.47	3.87	202	78
Cody Reed L 2016 · 3.34 FIP	20	SP	3.34	19.9%	7.3%	1.8%	.324	4.35	18.7%	10.3%	136	+1.01	3.34	212	78
Yereny Teus L 2024 · 3.57 FIP	20	SP	3.57	23.3%	10.3%	2.1%	.276	3.33	24.6%	10.0%	88	-0.24	2.63	185	78
Sam Weatherly L 2021 · 4.07 FIP	22	SP	4.07	24.0%	12.8%	2.5%	.323	4.14	21.9%	8.9%	41	+0.07	4.07	212	77
Jordan Wicks L 2022 · 3.83 FIP	22	SP	3.83	23.5%	7.9%	3.1%	.329	4.12	20.9%	13.1%	278	+0.29	2.92	472	77
Austin Emener L 2024 · 4.86 FIP	22	SP	4.86	19.4%	9.3%	4.1%	.306	5.38	21.4%	5.6%	63	+0.52	4.86	123	77
Eudis Idrogo L 2015 · 3.37 FIP	20	SP	3.37	19.4%	8.0%	1.6%	.236	3.84	13.5%	7.7%	319	+0.47	3.37	364	76
Isaiah Coupet L 2024 · 3.52 FIP	21	SP-	3.52	23.4%	8.5%	2.4%	.363	6.24	10.4%	-6.7%	16	+2.72	3.52	102	76
Reid Detmers L 2021 · 4.17 FIP	22	SP	4.17	29.9%	9.1%	4.5%	.335	4.08	25.3%	16.7%	443	-0.09	2.77	766	75
Thomas Szapucki L 2016 · 3.33 FIP	20	SP	3.33	28.0%	9.9%	2.5%	.250	3.23	19.6%	8.4%	87	-0.10	2.94	245	75
Mike Minor L 2010 · 3.81 FIP	22	SP	3.81	23.2%	5.9%	3.5%	.376	3.82	21.1%	14.9%	467	+0.01	2.43	1,460	75
Hogan Harris L 2019 · 3.84 FIP	22	SP	3.84	20.5%	10.6%	2.1%	.235	3.71	27.4%	12.7%	74	-0.13	3.09	501	75
Mitch Bratt L 2023 · 3.89 FIP	20	SP	3.89	21.3%	7.4%	3.0%	.321	3.81	20.9%	13.8%	340	-0.08	3.44	481	75
Anthony Veneziano L 2021 · 4.27 FIP	23	SP	4.27	24.9%	10.8%	3.5%	.298	4.94	18.6%	8.6%	358	+0.67	4.18	539	75
Thomas White L 2024 · 3.66 FIP	19	SP	3.66	22.2%	10.8%	1.9%	.332	2.96	29.5%	16.5%	99	-0.70	2.64	195	75

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	2.1	52	26.4%	7.2%	1.10	3.77
Héctor Rondón ('20)	2.2	54	24.2%	7.4%	1.03	3.49
Mike Schooler ('88-'93, 5 WAR*)	1.5	49	26.9%*	8.0%*	0.96*	3.68*
Fernando Salas ('19)	2.4	54	23.1%	7.3%	1.05	3.91
Josh Fields ('18)	1.4	46	27.5%	8.0%	0.98	3.71
Joe Sambito ('76-'87, 8 WAR*)	3.1	70	26.8%*	7.5%*	1.06*	3.65*
Joe Hoerner ('63-'77, 8 WAR*)	2.8	51	23.2%*	7.9%*	1.21*	3.52*