Chadwick Tromp

C Oklahoma City Comets

Age 32 R/R 5'8" / 221 lbs AAA HR +8%BB -8% Svc 0.583 · Ctrl thru 2032

Overview

AAAPre-ArbFA 2033

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	29	AAAATL	267	.303/.383/.457	7	0	91	—	.259/.318/.374
2024	29	MLBATL	54	.250/.264/.365	0	0	71	0.8
2025	30	AAA/A+/INTL3 orgs	271	.181/.243/.258	4	2	10	—	.154/.200/.202
2025	30	MLBBAL	22	.143/.182/.333	1	0	35	0.4
2026	31	AAALAD	162	.206/.325/.346	4	1	47	—	.174/.256/.278
2026	31	MLBBAL	51	.163/.163/.184	0	0	-14	-0.2
2027PROJ10% MLB	32	MLBLAD	16	.208/.270/.335	0	0	71	0.0
2028PROJ27% MLB	33	MLBLAD	36	.201/.262/.320	1	0	65	-0.1

Last 3 seasons WAR 1.0 · Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2032Service0.583First FA2033

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Ext$0.8M2030Ext$0.4M2031Ext$0.6M2032Ext$0.9M

Skills · percentileMiLB Statcast 2026 AAA

BB%83

Whiff%69

Z-Con%63

Max EV61

K%50

Chase%50

CompsMatt Pagnozzi (age 32) · Guillermo Quiroz (age 32) · Jesus Alberto Vega (age 32)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†71

AVG/OBP/SLG.208 / .270 / .335

PA16

HR0

K%25

BB%6

BABIP254

ISO67

MLB%10%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 35 / POW 35

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT35

xAVG

100.202

POWER35

Barrel%

102.4

Avg EV

2887.4

Bat Spd

4470.7

EYE40

scouting grade only

SPEED45

Sprint

1024.4

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

Status Pre-Arb

MLB Debut 2020

Service 0.583 yrs.days

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.0	$0.1M	+$0.0M (cut)
2028	Pre-Arb	$0.8M	—	—	—
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.3M	+$0.0M

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 these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2013	18	ROK	AZL Reds	—	25	24	4	0	0	0	0	4	1	0	1	167	200	167	367		200	16	0	174	-26	—	—	—	—	—	—
2014	19	A	Dayton Dragons	—	15	13	3	0	0	0	1	3	0	0	0	231	286	231	516		300	20	7	228	28	—	—	—	—	—	—
2014	19	ROK	AZL Reds	—	99	93	30	8	0	3	3	16	2	0	1	323	357	505	863	183	360	16	3	376	72	—	—	—	—	—	—
2015	20	A	Dayton Dragons	—	90	82	24	8	0	0	5	15	2	0	0	293	348	390	739	98	358	17	6	330	67	—	—	—	—	—	—
2016	21	A+	Daytona Tortugas	—	278	261	56	12	0	8	11	55	2	1	1	215	252	352	604	138	239	20	4	265	37	—	—	—	—	—	—
2017	22	AA	Pensacola Blue Wahoos	—	129	113	23	4	0	0	14	15	2	1	0	204	302	239	541	35	235	12	11	260	37	—	—	—	—	—	—
2017	22	A+	Daytona Tortugas	—	132	119	37	9	0	1	8	23	1	0	0	311	359	412	771	101	367	17	6	336	98	—	—	—	—	—	—
2017	22	INTL	Scottsdale Scorpions	—	39	38	12	1	0	1	1	7	0	0	0	316	333	421	754	105	367	18	3	336	114	—	—	—	—	—	—
2018	23	AAA	Louisville Bats	—	195	174	46	8	1	2	15	24	4	2	2	264	337	356	693	92	293	12	8	313	76	—	—	—	—	—	—
2018	23	AA	Pensacola Blue Wahoos	—	98	85	21	5	0	0	12	18	0	0	1	247	340	306	646	59	313	18	12	299	61	—	—	—	—	—	—
2019	24	AAA	Louisville Bats	—	90	77	22	2	1	7	11	25	2	0	1	286	389	610	999	325	333	28	12	431	123	—	—	—	—	—	—
2019	24	ROK	AZL Reds	—	61	48	13	5	0	2	11	10	1	0	0	271	417	500	917	229	297	16	18	400	76	—	—	—	—	—	—
2020	25	MLB	San Francisco Giants	—	64	61	13	1	0	4	1	20	0	0	0	213	226	426	652	213	231	31	2	274	80	-2	+0	+2	+1	+1	0.3
2021	26	MLB	San Francisco Giants	—	18	18	4	0	0	1	0	4	0	0	0	222	222	389	611	167	231	22	0	266	74	-1	+0	+1	+4	+0	0.5
2021	26	AAA	Gwinnett Stripers	—	221	209	46	12	0	6	10	52	1	0	0	220	259	364	623	144	263	24	5	276	30	—	—	—	—	—	—
2022	27	AAA	Gwinnett Stripers	—	266	249	63	11	0	12	16	55	0	0	1	253	298	442	740	189	279	21	6	325	55	—	—	—	—	—	—
2022	27	INTL	Estrellas Orientales	—	36	33	3	3	0	0	2	13	1	0	0	91	167	182	348	91	150	36	6	166	-1	—	—	—	—	—	—
2023	28	MLB	Atlanta Braves	—	16	16	2	1	0	0	0	7	0	0	0	125	125	188	312	62	222	44	0	137	-21	-2	+0	+1	+5	+0	0.4
2023	28	AAA	Gwinnett Stripers	—	268	224	47	9	0	10	43	54	0	0	0	210	337	384	721	174	230	20	16	327	59	—	—	—	—	—	—
2024	29	MLB	Atlanta Braves	—	54	52	13	6	0	0	1	17	0	0	0	250	264	365	630	115	361	31	2	273	71	-2	+0	+3	+6	+1	0.8
2024	29	AAA	Gwinnett Stripers	—	267	234	71	15	0	7	29	48	1	0	0	303	383	457	840	154	352	18	11	371	91	—	—	—	—	—	—
2025	30	MLB	Baltimore Orioles	—	22	21	3	1	0	1	1	6	0	0	0	143	182	333	515	190	143	27	5	226	35	-2	+0	+0	+5	+0	0.4
2025	30	AAA	Worcester Red Sox	—	207	188	36	5	0	3	17	52	0	2	0	191	259	266	524	74	244	25	8	241	12	—	—	—	—	—	—
2025	30	A+	Aberdeen IronBirds	—	15	13	2	0	0	0	2	3	0	0	0	154	267	154	421		200	20	13	214	-12	—	—	—	—	—	—
2025	30	INTL	Leones del Escogido	—	49	47	7	2	0	1	1	6	0	0	0	149	167	255	422	106	150	12	2	183	10	—	—	—	—	—	—
2026	31	MLB	Baltimore Orioles	—	51	49	8	1	0	0	0	13	0	0	0	163	163	184	347	20	216	25	0	149	-14	-7	+0	+0	+4	+1	-0.2
2026	31	AAA	Oklahoma City Comets	—	162	136	28	7	0	4	24	38	0	1	1	206	325	346	671	140	250	23	15	305	47	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	225	217	43	10	0	6	3	67	0	0	0	198	209	327	536	129	250	30	1	230	42	-15	+0	+6	+25	+5	2.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	18	ROK MLE	AZL Reds	—	25	24	3	0	0	0	0	6	1	0	1	125	160	125	285		168	24	0	130	-26	—	—	—	—	—	—
2014	19	A MLE	Dayton Dragons	—	15	13	3	0	0	0	1	4	0	0	0	231	286	231	516		287	27	7	210	28	—	—	—	—	—	—
2014	19	ROK MLE	AZL Reds	—	99	94	23	6	0	2	2	23	2	0	1	245	276	372	648	128	289	23	2	275	72	—	—	—	—	—	—
2015	20	A MLE	Dayton Dragons	—	90	83	20	6	0	0	4	21	2	0	0	241	292	313	605	72	323	23	4	267	67	—	—	—	—	—	—
2016	21	A+ MLE	Daytona Tortugas	—	278	264	50	11	0	6	8	78	2	1	1	189	219	299	518	110	231	28	3	223	37	—	—	—	—	—	—
2017	22	AA MLE	Pensacola Blue Wahoos	—	129	119	23	4	0	0	8	19	2	1	0	193	256	227	483	34	228	15	6	223	37	—	—	—	—	—	—
2017	22	A+ MLE	Daytona Tortugas	—	132	121	36	9	0	1	6	33	1	0	0	298	336	397	733	99	367	25	5	313	98	—	—	—	—	—	—
2018	23	AAA MLE	Louisville Bats	—	195	178	44	7	1	2	11	30	4	2	2	247	306	331	637	84	279	15	6	281	76	—	—	—	—	—	—
2018	23	AA MLE	Pensacola Blue Wahoos	—	98	88	20	5	0	0	9	21	0	0	1	227	299	284	583	57	295	21	9	259	61	—	—	—	—	—	—
2019	24	AAA MLE	Louisville Bats	—	90	81	20	2	1	6	7	31	2	0	1	247	322	519	841	272	307	34	8	350	123	—	—	—	—	—	—
2019	24	ROK MLE	AZL Reds	—	61	52	11	4	0	2	7	14	1	0	0	212	317	404	721	192	217	23	11	280	76	—	—	—	—	—	—
2020	25	MLB MLE	San Francisco Giants	—	64	61	13	1	0	4	1	20	0	0	0	213	226	426	652	213	231	31	2	286	80	-2	+0	+2	+1	+1	0.3
2021	26	MLB MLE	San Francisco Giants	—	18	18	4	0	0	1	0	4	0	0	0	222	222	389	611	167	231	22	0	278	74	-1	+0	+1	+4	+0	0.5
2021	26	AAA MLE	Gwinnett Stripers	—	221	212	38	9	0	4	7	64	1	0	0	179	209	278	487	99	231	29	3	212	30	—	—	—	—	—	—
2022	27	AAA MLE	Gwinnett Stripers	—	266	254	52	9	0	8	11	66	0	0	1	205	238	335	572	130	241	25	4	250	55	—	—	—	—	—	—
2023	28	MLB MLE	Atlanta Braves	—	16	16	2	1	0	0	0	7	0	0	0	125	125	188	312	62	222	44	0	137	-21	-2	+0	+1	+5	+0	0.4
2023	28	AAA MLE	Gwinnett Stripers	—	268	238	42	8	0	7	29	65	0	0	0	176	266	298	564	122	206	24	11	256	59	—	—	—	—	—	—
2024	29	MLB MLE	Atlanta Braves	—	54	52	13	6	0	0	1	17	0	0	0	250	264	365	630	115	361	31	2	273	71	-2	+0	+3	+6	+1	0.8
2024	29	AAA MLE	Gwinnett Stripers	—	267	243	63	13	0	5	20	60	1	0	0	259	318	374	693	115	314	22	7	302	91	—	—	—	—	—	—
2025	30	MLB MLE	Baltimore Orioles	—	22	21	3	1	0	1	1	6	0	0	0	143	182	333	515	190	143	27	5	220	35	-2	+0	+0	+5	+0	0.4
2025	30	AAA MLE	Worcester Red Sox	—	207	194	30	4	0	2	11	62	0	2	0	155	200	206	406	52	212	30	5	186	12	—	—	—	—	—	—
2025	30	A+ MLE	Aberdeen IronBirds	—	15	14	2	0	0	0	1	4	0	0	0	143	200	143	343		165	27	7	151	-12	—	—	—	—	—	—
2026	31	MLB MLE	Baltimore Orioles	—	51	49	8	1	0	0	0	13	0	0	0	163	163	184	347	20	216	25	0	148	-14	-7	+0	+0	+4	+1	-0.2
2026	31	AAA MLE	Oklahoma City Comets	—	162	144	25	6	0	3	16	46	0	1	1	174	256	278	534	104	219	28	10	237	47	—	—	—	—	—	—
2013	18	ROK MLE	AZL Reds	—	25	24	3	0	0	0	0	6	1	0	1	125	160	125	285		167	24	0	130	-26	—	—	—	—	—	—
2013	18	ROK RAW	AZL Reds	—	25	24	4	0	0	0	0	4	1	0	1	167	200	167	367		200	16	0	174	-26	—	—	—	—	—	—
2014	19	ROK MLE	2 teams	—	114	107	26	6	0	2	3	27	2	0	1	243	277	355	632	112	304	24	3	266	66	—	—	—	—	—	—
2014	19	ROK RAW	2 teams	—	114	106	33	8	0	3	4	19	2	0	1	311	348	472	820	160	353	17	4	357	66	—	—	—	—	—	—
2015	20	A MLE	Dayton Dragons	—	90	83	20	6	0	0	4	21	2	0	0	241	292	313	605	72	323	23	4	267	67	—	—	—	—	—	—
2015	20	A RAW	Dayton Dragons	—	90	82	24	8	0	0	5	15	2	0	0	293	348	390	739	98	358	17	6	330	67	—	—	—	—	—	—
2016	21	A+ MLE	Daytona Tortugas	—	278	264	50	11	0	6	8	78	2	1	1	189	219	299	518	110	240	28	3	223	37	—	—	—	—	—	—
2016	21	A+ RAW	Daytona Tortugas	—	278	261	56	12	0	8	11	55	2	1	1	215	252	352	604	138	239	20	4	265	37	—	—	—	—	—	—
2017	22	A+ MLE	3 teams	—	300	276	67	15	0	1	17	59	3	1	0	243	294	308	602	65	301	20	6	269	68	—	—	—	—	—	—
2017	22	A+ RAW	3 teams	—	300	270	72	14	0	2	23	45	3	1	0	267	331	341	672	74	310	15	8	304	68	—	—	—	—	—	—
2018	23	AAA MLE	2 teams	—	293	266	64	12	1	2	20	51	4	2	3	241	303	316	619	75	288	17	7	274	71	—	—	—	—	—	—
2018	23	AAA RAW	2 teams	—	293	259	67	13	1	2	27	42	4	2	3	259	338	340	678	81	300	14	9	309	71	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	151	134	30	5	1	8	13	46	3	0	1	224	307	455	762	231	272	30	9	322	104	—	—	—	—	—	—
2019	24	AAA RAW	2 teams	—	151	125	35	7	1	9	22	35	3	0	1	280	400	568	968	288	317	23	15	418	104	—	—	—	—	—	—
2020	25	MLB MLE	San Francisco Giants	—	64	61	13	1	0	4	1	20	0	0	0	213	226	426	652	213	231	31	2	286	80	-2	+0	+2	+1	+1	0.3
2020	25	MLB RAW	San Francisco Giants	—	64	61	13	1	0	4	1	20	0	0	0	213	226	426	652	213	231	31	2	274	80	-2	+0	+2	+1	+1	0.3
2021	26	AAA MLE	2 teams	—	239	230	42	9	0	5	7	68	1	0	0	183	210	287	497	104	234	28	3	217	33	—	—	—	—	—	—
2021	26	AAA RAW	2 teams	—	239	227	50	12	0	7	10	56	1	0	0	220	256	366	622	145	261	23	4	275	33	—	—	—	—	—	—
2022	27	AAA MLE	2 teams	—	302	287	59	10	0	10	13	75	1	0	1	206	243	345	587	139	241	25	4	250	55	—	—	—	—	—	—
2022	27	AAA RAW	2 teams	—	302	282	66	14	0	12	18	68	1	0	1	234	282	411	694	177	266	23	6	306	55	—	—	—	—	—	—
2023	28	AAA MLE	2 teams	—	284	254	44	9	0	7	29	72	0	0	0	173	258	291	549	118	210	25	10	249	55	—	—	—	—	—	—
2023	28	AAA RAW	2 teams	—	284	240	49	10	0	10	43	61	0	0	0	204	325	371	696	167	229	21	15	317	55	—	—	—	—	—	—
2024	29	AAA MLE	2 teams	—	321	295	76	19	0	5	21	77	1	0	0	258	309	373	682	115	327	24	7	297	87	—	—	—	—	—	—
2024	29	AAA RAW	2 teams	—	321	286	84	21	0	7	30	65	1	0	0	294	363	441	803	147	353	20	9	355	87	—	—	—	—	—	—
2025	30	AAA MLE	4 teams	—	293	274	42	6	0	4	16	86	0	2	0	153	200	219	419	66	204	29	5	187	13	—	—	—	—	—	—
2025	30	AAA RAW	4 teams	—	293	269	48	8	0	5	21	67	0	2	0	178	238	264	502	86	216	23	7	229	13	—	—	—	—	—	—
2026	31	AAA MLE	2 teams	—	213	193	33	7	0	3	16	59	0	1	1	171	234	254	488	83	224	28	8	216	32	—	—	—	—	—	—
2026	31	AAA RAW	2 teams	—	213	185	36	8	0	4	24	51	0	1	1	195	287	303	590	108	241	24	11	268	32	—	—	—	—	—	—
2013	18	ROK MLE	AZL Reds	—	25	24	3	0	0	0	0	6	1	0	1	125	160	125	285		168	24	0	130	-26	—	—	—	—	—	—
2014	19	ROK MLE	2 teams	—	114	108	26	6	0	2	3	27	2	0	1	241	277	352	629	111	289	24	3	266	66	—	—	—	—	—	—
2015	20	A MLE	Dayton Dragons	—	90	84	20	6	0	0	4	21	2	0	0	238	292	310	602	71	323	23	4	267	67	—	—	—	—	—	—
2016	21	A+ MLE	Daytona Tortugas	—	278	266	50	11	0	6	8	78	2	1	1	188	219	297	516	109	231	28	3	223	37	—	—	—	—	—	—
2017	22	A+ MLE	3 teams	—	300	277	67	15	0	1	17	59	3	1	0	242	294	307	601	65	298	20	6	269	68	—	—	—	—	—	—
2018	23	AAA MLE	2 teams	—	293	267	64	12	1	2	20	51	4	2	3	240	303	315	618	75	284	17	7	274	71	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	151	134	30	5	1	8	13	46	3	0	1	224	307	455	762	231	271	30	9	322	104	—	—	—	—	—	—
2020	25	MLB MLE	San Francisco Giants	—	64	63	13	1	0	4	1	20	0	0	0	206	226	413	639	206	231	31	2	286	80	—	—	—	—	—	—
2021	26	AAA MLE	2 teams	—	239	229	42	9	0	5	7	68	1	0	0	183	210	288	498	105	231	28	3	217	33	—	—	—	—	—	—
2022	27	AAA MLE	2 teams	—	302	285	59	10	0	10	13	75	1	0	1	207	243	347	590	140	241	25	4	250	55	—	—	—	—	—	—
2023	28	AAA MLE	2 teams	—	284	253	44	9	0	7	29	72	0	0	0	174	258	292	550	119	207	25	10	249	55	—	—	—	—	—	—
2024	29	AAA MLE	2 teams	—	321	296	76	19	0	5	21	77	1	0	0	257	309	372	681	115	322	24	7	297	87	—	—	—	—	—	—
2025	30	AAA MLE	4 teams	—	293	275	42	6	0	4	16	86	0	2	0	153	200	218	418	65	203	29	5	187	13	—	—	—	—	—	—
2026	31	AAA MLE	2 teams	—	213	195	33	7	0	3	16	59	0	1	1	169	234	251	486	82	218	28	8	216	32	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	29	AAA MLE	2 teams	—	321	296	76	19	0	5	21	77	1	0	0	257	309	372	681	115	322	24	7	297	87	—	—	—	—	—	—
2025	30	AAA MLE	4 teams	—	293	275	42	6	0	4	16	86	0	2	0	153	200	218	418	65	203	29	5	187	13	—	—	—	—	—	—
2026	31	AAA MLE	2 teams	—	213	195	33	7	0	3	16	59	0	1	1	169	234	251	486	82	218	28	8	216	32	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	32	MLB MLE	LAD	10%	263	241	50	10	1	6	19	65	1	2	1	211	273	338	611	128	260	25	7	274	71	-9	+0	+1	+5	+6	0.2
▸ 2027 — real world (MLB)
2027	32	MLB CTX	LAD	10%	16	15	3	1	0	0	1	4	0	0	0	208	270	335	605	128	254	25	6	271	71	-1	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	33	MLB MLE	LAD	27%	131	120	24	5	0	3	9	33	1	1	0	204	265	323	588	119	255	25	7	264	65	-5	+0	-4	+2	+3	-0.4
2028	33	MLB CTX	LAD	27%	36	33	6	1	0	1	3	9	0	0	0	201	262	320	582	119	249	25	8	262	65	-1	+0	-1	+1	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	261	250	49	11	0	7	6	76	0	0	0	196	215	324	539	128	246	29	2	235	56	-17	+0	+5	+26	+6	2.0
/ 162G	—	A+C		—	650	623	121	27	0	17	15	189	0	0	0	194	213	319	533	125	244	29	2	235	56	-42	+0	+13	+64	+14	5.0
Career	—	MLE		—	3261	3017	624	127	2	64	189	819	22	9	9	207	259	314	573	107	259	25	6	252	56	-26	+0	+3	+30	+11	1.9
/ 162G	—	MLE		—	650	601	124	25	0	13	38	163	4	2	2	206	258	313	571	106	258	25	6	252	56	-33	+1	+3	+38	+14	2.3

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 AAAOklahoma City Comets · 162 PAwOBA .302 → .237 (−65)K% 23.5% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.46%	÷1.000	×1.200	—	—	28.15%
BB% (unintentional) /PA	14.81%	÷1.000	×0.690	—	×0.962	9.83%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	17.35%	÷1.000	×0.930	×1.024	×0.962	15.89%
Doubles /BIP	7.14%	÷1.000	×0.830	×1.024	×0.962	5.84%
Triples /BIP	0.00%	÷1.000	×0.970	×1.024	×0.962	0.00%
Home runs /BIP	4.08%	÷1.000	×0.700	—	×0.962	2.75%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .302 → .237; ISO .140 → .104; BABIP .250 → .219. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AAAWorcester Red Sox · 207 PAwOBA .237 → .186 (−51)K% 25.1% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.12%	÷1.013	×1.200	—	—	29.77%
BB% (unintentional) /PA	8.21%	÷1.042	×0.690	—	×0.972	5.28%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	20.59%	÷1.060	×0.930	×1.029	×0.972	18.06%
Doubles /BIP	3.68%	÷0.991	×0.830	×1.029	×0.972	3.08%
Triples /BIP	0.00%	÷1.000	×0.970	×1.029	×0.972	0.00%
Home runs /BIP	2.21%	÷0.984	×0.700	—	×0.972	1.52%

Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 112, 2B 98, 3B 100, K 103, BB 108 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .237 → .186; ISO .074 → .055; BABIP .244 → .212. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 A+Aberdeen IronBirds · 15 PAwOBA .209 → .151 (−58)K% 20.0% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.013	×1.310	—	—	25.87%
BB% (unintentional) /PA	13.33%	÷0.944	×0.600	—	×0.940	7.97%
HBP% /PA	0.00%	—	×0.770	—	×0.940	0.00%
Singles /BIP	20.00%	÷0.990	×0.870	—	×0.940	16.51%
Doubles /BIP	0.00%	÷1.010	×0.780	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.091	×0.850	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.229	×0.880	—	×0.940	0.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 146, 1B 98, 2B 102, 3B 118, K 103, BB 89 — applied at half strength. Age: age 30 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (7.2 yr older than average).

Result: wOBA .209 → .151; ISO .000 → .000; BABIP .200 → .165. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 AAAGwinnett Stripers · 267 PAwOBA .366 → .302 (−64)K% 18.0% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.98%	÷0.958	×1.200	—	—	22.51%
BB% (unintentional) /PA	10.86%	÷1.001	×0.690	—	×0.982	7.35%
HBP% /PA	0.37%	—	×0.940	—	×0.982	0.35%
Singles /BIP	26.34%	÷0.977	×0.930	×0.988	×0.982	24.34%
Doubles /BIP	8.06%	÷0.961	×0.830	×0.988	×0.982	6.76%
Triples /BIP	0.00%	÷1.150	×0.970	×0.988	×0.982	0.00%
Home runs /BIP	3.76%	÷0.968	×0.700	—	×0.982	2.67%

Factors used: league row International League. Park (home-season share, regressed): HR 94, 1B 95, 2B 92, 3B 130, K 92, BB 100 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .366 → .302; ISO .154 → .118; BABIP .352 → .314. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AAAGwinnett Stripers · 268 PAwOBA .320 → .256 (−65)K% 20.1% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.15%	÷1.005	×1.200	—	—	24.07%
BB% (unintentional) /PA	16.04%	÷0.997	×0.690	—	×0.992	11.02%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	16.47%	÷0.968	×0.930	×0.978	×0.992	15.34%
Doubles /BIP	5.29%	÷0.933	×0.830	×0.978	×0.992	4.57%
Triples /BIP	0.00%	÷0.999	×0.970	×0.978	×0.992	0.00%
Home runs /BIP	5.88%	÷0.984	×0.700	—	×0.992	4.15%

Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 94, 2B 87, 3B 100, K 101, BB 99 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .320 → .256; ISO .174 → .132; BABIP .230 → .206. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AAAGwinnett Stripers · 266 PAwOBA .317 → .250 (−67)K% 20.7% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.68%	÷1.002	×1.200	—	—	24.77%
BB% (unintentional) /PA	6.02%	÷0.998	×0.690	—	×1.003	4.17%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	20.62%	÷1.018	×0.930	×0.972	×1.003	18.38%
Doubles /BIP	5.67%	÷0.966	×0.830	×0.972	×1.003	4.75%
Triples /BIP	0.00%	÷1.150	×0.970	×0.972	×1.003	0.00%
Home runs /BIP	6.19%	÷0.981	×0.700	—	×1.003	4.43%

Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 104, 2B 93, 3B 130, K 100, BB 100 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .317 → .250; ISO .189 → .137; BABIP .279 → .241. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 AAAGwinnett Stripers · 221 PAwOBA .269 → .212 (−57)K% 23.5% → 28.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷0.975	×1.200	—	—	28.95%
BB% (unintentional) /PA	4.52%	÷1.014	×0.690	—	×1.018	3.13%
HBP% /PA	0.45%	—	×0.940	—	×1.018	0.43%
Singles /BIP	17.83%	÷1.011	×0.930	×0.987	×1.018	16.49%
Doubles /BIP	7.64%	÷1.039	×0.830	×0.987	×1.018	6.14%
Triples /BIP	0.00%	÷1.150	×0.920	×0.987	×1.018	0.00%
Home runs /BIP	3.82%	÷1.001	×0.700	—	×1.018	2.72%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 102, 2B 108, 3B 130, K 95, BB 103 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .269 → .212; ISO .144 → .102; BABIP .263 → .231. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AAALouisville Bats · 90 PAwOBA .419 → .350 (−68)K% 27.8% → 34.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.78%	÷0.960	×1.200	—	—	34.71%
BB% (unintentional) /PA	12.22%	÷1.151	×0.690	—	×1.048	7.68%
HBP% /PA	2.22%	—	×0.940	—	×1.048	2.19%
Singles /BIP	23.08%	÷1.018	×0.930	—	×1.048	22.10%
Doubles /BIP	3.85%	÷1.082	×0.830	—	×1.048	3.09%
Triples /BIP	1.92%	÷1.150	×0.970	—	×1.048	1.70%
Home runs /BIP	13.46%	÷0.957	×0.840	—	×1.048	12.38%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 104, 2B 116, 3B 130, K 92, BB 130 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .419 → .350; ISO .325 → .283; BABIP .333 → .307. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#4Jeff Torborg'64-'73 * career totals — 9 seasons, 1,525 PA	2.3	1,525	8	3	214*	271*	292*	+27	+0	0.2	0.7
/162	664	3	1	+11.8	+0.0	0.1	pk7: 1
#5John Boccabella'63-'74 * career totals — 8 seasons, 1,595 PA	2.4	1,595	26	3	217*	267*	343*	+8	+6	-1.3	-0.1
/162	664	11	1	+3.5	+2.7	-0.5	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	0.3	221	5	0	206	225	328	+4	+3	-0.3	-0.3
/162	664	16	1	+11.9	+9.5	-1.0	pk7: -0
#6Mike Ryan'64-'74 * career totals — 9 seasons, 2,098 PA	3.2	2,098	28	4	196*	257*	311*	+38	+0	-1.9	-0.9
/162	664	9	1	+11.9	+0.0	-0.6	pk7: 0

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Chadwick Tromp (OGILVIE)	32	35	35	45	40	209/270/335	127	260	4	1	25%	7%	71	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Pagnozzi 2015 · MLB	32	35	45→40	47→40	39	188/244/299	111	241	14	4	29%	5%	53	-2.1	208/264/317	109	264	12	6	25%	6%	64	-1.3	195/249/267	72	243	7	0	22%	6%	47	-1.0
✕Guillermo Quiroz 2014 · MLB	32	43	46→45	47→50	43	217/275/348	131	274	14	4	26%	6%	76	-0.4	211/252/309	98	275	9	4	26%	4%	57	-1.8	199/229/296	97	264	10	0	29%	3%	42	-1.3
✕Jesus Alberto Vega 2014 · AAA	32	43	47→45	48→40	42	220/274/352	132	275	16	8	26%	6%	76	-0.4	212/260/304	92	295	9	5	30%	5%	59	-1.7	191/237/262	72	277	6	1	32%	5%	38	-1.0
✕Dustin Garneau 2021 · MLB	33	40→38	49→50	45	46	208/290/361	153	270	17	5	29%	8%	85	+0.2	192/269/357	165	248	20	6	31%	7%	76	-0.4	145/226/306	160	173	21	1	31%	7%	48	-0.8
✕Chad Moeller 2008 · MLB	33	40	45→50	41→30	42	204/259/322	118	253	14	4	25%	6%	63	-1.3	210/262/314	104	261	9	4	22%	5%	63	-1.4	200/250/291	90	248	5	0	21%	5%	52	-0.6
✕Robinson Cancel 2008 · AAA	32	44	44→45	47→50	42	220/261/338	118	263	12	9	22%	5%	68	-1.0	223/263/321	98	256	8	12	16%	5%	63	-1.3	237/283/323	86	279	7	15	17%	6%	69	-0.5
✕David Matranga 2009 · AAA	32	41	46→45	49→50	42	209/273/332	123	275	14	10	29%	6%	72	-0.7	219/299/343	124	297	12	9	28%	9%	84	+0.1	200/298/309	110	273	11	5	28%	10%	76	-0.2
✕Tuffy Gosewisch 2017 · MLB	33	44→43	46→45	46→40	45	222/273/345	123	254	14	5	19%	6%	74	-0.6	190/253/289	99	247	9	4	26%	6%	54	-2.0	161/229/240	79	220	6	1	28%	6%	32	-1.5
✕Bryan Holaday 2020 · MLB	32	46	45	38→40	48	230/289/352	123	258	13	4	17%	6%	82	-0.0	222/283/363	141	267	15	7	23%	7%	82	-0.0	186/238/360	174	219	21	4	27%	5%	67	-0.3
✕Brian O'Keefe 2024 · MLB	31	39→42	50	41→40	43	205/263/360	156	263	18	4	29%	7%	74	-0.5	196/254/337	141	249	17	5	28%	7%	65	-1.2	174/231/302	128	216	17	3	28%	7%	46	-0.9
✕Dan Butler 2018 · AAA	31	46→39	40→45	46→40	47	222/285/320	97	282	7	3	23%	7%	72	-0.7	207/273/311	104	257	10	6	23%	7%	66	-1.1	161/236/240	78	193	9	0	21%	8%	35	-1.4
✕Joe Hudson 2023 · MLB	32	35	48→45	48→40	43	190/256/322	132	260	17	6	33%	8%	63	-1.4	191/279/316	125	294	15	9	37%	9%	71	-0.8	170/278/279	109	259	14	10	37%	11%	60	-0.5
✕Luis Flores 2019 · AAA	32	41	46→40	48→45	44	210/256/339	129	248	14	8	22%	6%	66	-1.1	229/274/379	150	269	17	9	22%	6%	82	+0.0	215/247/374	158	234	20	0	19%	4%	68	-0.2
✕Sharlon Schoop 2018 · AAA	31	42→45	44→40	44→45	42	209/255/321	112	259	11	4	24%	5%	61	-1.5	218/279/340	122	286	13	7	27%	6%	75	-0.5	190/260/269	79	260	8	0	29%	7%	49	-0.5
✕Chad Wallach 2024 · MLB	32	38→48	48→50	46→40	43	200/265/336	136	268	17	5	31%	7%	70	-0.9	201/264/329	128	278	15	5	32%	7%	67	-1.1	183/248/298	114	255	14	2	32%	6%	52	-0.9
✕Drew Butera 2016 · MLB	32	41	41→40	43→40	45	201/262/298	97	246	9	4	22%	6%	59	-1.7	233/291/364	131	291	13	4	24%	7%	84	+0.2	226/286/352	126	282	12	0	24%	7%	81	-0.0
✕Dusty Brown 2012 · MLB	30	42	46→45	42→30	44	212/270/342	130	268	13	5	26%	7%	72	-0.7	212/286/361	149	271	16	6	27%	9%	83	+0.1	179/284/322	144	218	15	0	25%	12%	74	-0.2
✕Dusty Wathan 2007 · AAA	33	44	46→45	45→40	44	222/285/344	123	259	15	5	21%	5%	79	-0.2	229/290/320	91	278	7	8	19%	5%	74	-0.5	237/297/291	53	290	0	6	17%	4%	68	-0.5
✕Austin Wynns 2022 · MLB	31	44→51	45	48→40	46	221/280/340	119	261	14	6	22%	7%	76	-0.4	238/302/348	110	299	11	5	23%	7%	85	+0.2	237/301/332	94	305	9	2	24%	7%	80	-0.1
✕Edwin Diaz 2007 · AAA	32	44	47→45	44→40	43	226/279/361	135	267	15	9	22%	5%	80	-0.2	241/278/366	125	275	13	8	17%	4%	80	-0.1	254/278/370	115	283	11	2	14%	2%	77	-0.1

Chadwick Tromp

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps