Chadwick Tromp — OGILVIE

Chadwick TrompC Gwinnett Stripers

Age 31 R/R 5'8" / 221 lbs AAA BB -5% Svc 6.000 · Ctrl thru 2026 peak 0.6 · 2026

wRC+†75

AVG/OBP/SLG.214 / .273 / .349

PA250

HR7

K%26

BB%7

MLB%10%

Scouting · now → future

HIT

35→35

PWR

35→35

SPD

45→45

EYE

43↘40

trajectory · 10 yrs

0.3peak

2026

Contract

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

Status FA

MLB Debut 2020

Service 6.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$4M	+0.6	$2M	-$2M
Totals		$4M		$2M	-$2M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	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
2013	18	ROK	AZL Reds	25	24	3	0	0	0	0	6	1	0	1	.125	.160	.125	.285	.000	.167	24	0	.128	-44	-4	-0	+0	+0	+1	-0.3
2014	19	ROK	2 teams	114	107	26	6	0	2	3	27	2	0	1	.243	.277	.355	.632	.112	.304	24	3	.265	61	-5	-0	+0	+2	+3	-0.0
2015	20	A	Dayton Dragons	90	83	20	6	0	0	4	20	2	0	0	.241	.292	.313	.605	.072	.317	22	4	.265	61	-4	+0	+0	+2	+3	0.0
2016	21	A+	Daytona Tortugas	278	264	48	10	0	6	8	78	2	1	1	.182	.212	.288	.500	.106	.230	28	3	.217	24	-24	-0	+0	+5	+8	-1.1
2017	22	A+	3 teams	300	276	65	14	0	1	17	60	3	1	0	.236	.287	.297	.584	.062	.294	20	6	.263	59	-14	+0	+0	+5	+8	0.0
2018	23	AAA	2 teams	293	267	61	11	1	2	19	53	4	2	3	.228	.290	.300	.589	.071	.276	18	6	.263	59	-13	-1	+0	+5	+8	-0.1
2019	24	AAA	2 teams	151	133	29	5	1	7	14	45	3	0	1	.218	.307	.429	.735	.211	.268	30	9	.318	102	+0	-0	+0	+3	+4	0.7
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	.254	53	-3	+0	+2	+1	+2	0.1
2021	26	AAA	2 teams	239	230	42	9	0	6	7	68	1	0	0	.183	.210	.300	.510	.117	.229	28	3	.221	27	-20	+0	+1	+4	+7	-0.8
2022	27	AAA	2 teams	302	287	61	10	0	11	13	75	1	0	1	.213	.249	.362	.612	.150	.248	25	4	.261	58	-14	-0	+0	+5	+9	-0.1
2023	28	AAA	2 teams	284	253	46	9	0	9	30	71	0	0	0	.182	.269	.324	.593	.142	.213	25	11	.261	58	-13	+0	+1	+5	+8	0.0
2024	29	AAA	2 teams	321	295	77	18	0	6	21	76	1	0	0	.261	.312	.383	.695	.122	.327	24	7	.306	92	-3	+0	+3	+6	+9	1.5
2025	30	AAA	4 teams	293	274	43	6	0	4	16	86	0	2	0	.157	.203	.223	.426	.066	.210	29	5	.195	8	-31	+0	+0	+5	+8	-1.7
▸ 2026 Season (actual · ROS · total)
2026	31	AAA	Gwinnett Stripers	45	39	8	2	0	2	5	7	0	0	1	.205	.295	.410	.706	.205	.194	16	11	.286	77	-1	-0	+0	+1	+1	0.1
ROS	31	MLB	ATL	205	187	40	9	0	6	16	51	0	1	1	.214	.276	.358	.634	.144	.259	25	8	.282	74	-6	-0	+2	+4	+6	0.6
TOT	31	MLB	ATL	250	226	48	11	0	8	21	58	0	1	2	.212	.279	.367	.647	.155	.247	23	8	.283	75	-7	-1	+2	+4	+7	0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB 20%	ATL	258	234	50	11	0	7	21	61	1	0	1	.214	.281	.350	.632	.137	.257	24	8	.284	76	-7	-0	-0	+5	+7	0.4
2028	33	MLB 33%	ATL	223	202	43	9	0	6	18	54	1	0	0	.213	.281	.347	.627	.134	.258	24	8	.282	74	-7	+0	-2	+4	+6	0.2
2029	34	MLB 43%	ATL	179	162	34	7	0	5	14	45	1	0	0	.210	.277	.346	.623	.136	.258	25	8	.277	70	-6	+0	-3	+3	+5	-0.1
▸ Career Totals (MLE all levels + projections)
Career	—			3619	3339	701	141	2	82	222	896	23	7	10	.210	.264	.327	.591	.117	.259	25	6	.260	57	-174	-3	+4	+65	+103	-0.5
/ 162G	—			650	600	125	25	0	15	40	161	4	1	2	.208	.262	.325	.587	.117	.257	25	6	.260	57	-31	-1	+1	+12	+18	-0.1

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2013	18	ROK	AZL Reds	25	24	4	0	0	0	0	4	1	0	1	.167	.200	.167	.367	.000	.200	16	0	.174	-8	-3	-0	—	—	+1	-0.3
2014	19	A	Dayton Dragons	15	13	3	0	0	0	1	3	0	0	0	.231	.286	.231	.516	.000	.300	20	7	.228	32	-1	+0	—	—	+0	-0.1
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	146	+5	-0	—	—	+3	0.8
2015	20	A	Dayton Dragons	90	82	24	8	0	0	5	15	2	0	0	.293	.348	.390	.739	.098	.358	17	6	.330	111	+1	+0	—	—	+3	0.4
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	61	-12	-0	—	—	+8	-0.5
2017	22	AA	Pensacola Blue Wahoos	129	113	23	4	0	0	14	15	2	1	0	.204	.302	.239	.541	.035	.235	12	11	.260	57	-6	+0	—	—	+4	-0.2
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	116	+2	+0	—	—	+4	0.6
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	115	+1	+0	—	—	+1	0.2
2018	23	AAA	Louisville Bats	195	174	46	8	1	2	15	24	4	2	2	.264	.337	.356	.693	.092	.293	12	8	.313	98	-0	-0	—	—	+6	0.5
2018	23	AA	Pensacola Blue Wahoos	98	85	21	5	0	0	12	18	0	0	1	.247	.340	.306	.646	.059	.313	18	12	.299	87	-1	-0	—	—	+3	0.1
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	188	+9	-0	—	—	+3	1.1
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	165	+4	+0	—	—	+2	0.6
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	68	-2	+0	+2	+1	+2	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	62	-1	+0	+1	+4	+1	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	69	-8	+0	—	—	+6	-0.1
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	107	+2	-0	—	—	+8	0.9
2022	27	INTL	Estrellas Orientales	36	33	3	3	0	0	2	13	1	0	0	.091	.167	.182	.348	.091	.150	36	6	.166	-15	-5	+0	—	—	+1	-0.4
2023	28	MLB	Atlanta Braves	16	16	2	1	0	0	0	7	0	0	0	.125	.125	.188	.312	.062	.222	44	0	.137	-37	-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	109	+3	+0	—	—	+8	1.0
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	67	-2	+0	+3	+6	+2	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	142	+13	+0	—	—	+8	2.1
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	31	-2	+0	+0	+5	+1	0.5
2025	30	AAA	Worcester Red Sox	207	188	36	5	0	3	17	52	0	2	0	.191	.259	.266	.524	.074	.244	25	8	.241	43	-13	+0	—	—	+6	-0.7
2025	30	A+	Aberdeen IronBirds	15	13	2	0	0	0	2	3	0	0	0	.154	.267	.154	.421	.000	.200	20	13	.214	22	-1	+0	—	—	+0	-0.1
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	-2	-6	+0	—	—	+1	-0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			174	168	35	9	0	6	3	54	0	0	0	.208	.222	.369	.591	.161	.261	31	2	.254	53	-9	+0	+6	+21	+5	2.4

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)	31	35	35	45	40	.214/.273/.349	.135	.268	7	1	26%	7%	72	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dusty Brown 2012 · MLB	30	42	45	43→30	44	.212/.270/.334	.122	.272	12	4	26%	7%	66	-0.6	.213/.286/.364	.151	.271	16	6	26%	9%	82	+0.5	.184/.291/.331	.147	.224	15	0	25%	13%	76	+0.0
✕Anthony Recker 2015 · MLB	31	41→48	52→50	43→45	43	.214/.277/.374	.160	.286	20	6	32%	8%	80	+0.4	.211/.285/.362	.151	.286	18	5	31%	8%	81	+0.4	.205/.278/.348	.144	.276	15	2	30%	8%	70	-0.1
✕Tony Cruz 2017 · MLB	30	45→37	42→45	41→40	46	.219/.274/.320	.101	.276	9	5	24%	7%	63	-0.8	.218/.270/.342	.124	.289	14	5	29%	6%	68	-0.5	.219/.269/.342	.123	.294	15	0	30%	4%	67	-0.2
✕Rob Johnson 2013 · MLB	31	42→52	42→45	47→50	47	.207/.272/.313	.107	.253	10	8	22%	7%	62	-0.9	.212/.267/.333	.121	.258	13	6	22%	7%	65	-0.7	.194/.253/.309	.115	.236	13	0	23%	7%	50	-0.7
✕Brett Hayes 2015 · MLB	31	38	50→45	50→40	36	.205/.240/.356	.151	.265	19	6	31%	4%	59	-1.1	.185/.224/.299	.114	.245	13	5	30%	4%	37	-2.6	.153/.195/.232	.080	.211	9	0	32%	4%	5	-1.5
✕Bryan Holaday 2018 · MLB	30	45	47→45	37→40	42	.226/.271/.359	.133	.262	14	3	20%	4%	73	-0.1	.227/.286/.345	.118	.263	12	4	18%	6%	76	+0.1	.217/.286/.341	.124	.252	13	2	19%	7%	71	-0.1
✕Matt Pagnozzi 2014 · MLB	31	40	41→45	42→40	42	.199/.255/.295	.096	.260	10	3	27%	6%	50	-1.8	.201/.257/.314	.113	.259	14	4	27%	6%	56	-1.3	.190/.248/.296	.106	.242	15	1	28%	6%	46	-0.8
✕Austin Wynns 2022 · MLB	31	45→52	45	48→30	46	.224/.281/.336	.112	.265	13	5	21%	7%	72	-0.2	.243/.308/.357	.114	.303	12	5	23%	8%	89	+0.9	.244/.309/.343	.100	.312	10	2	24%	7%	82	+0.2
✕Jesus Alberto Vega 2013 · AAA	31	43	46→50	46→40	43	.217/.271/.341	.124	.261	15	7	23%	6%	69	-0.4	.225/.275/.351	.126	.292	15	7	27%	6%	73	-0.1	.221/.272/.330	.110	.295	13	3	29%	6%	62	-0.3
✕Brandon Larson 2006 · MLB	30	43→42	49→50	45	45	.221/.292/.366	.145	.284	17	7	28%	8%	85	+0.7	.227/.277/.383	.156	.291	20	6	29%	6%	82	+0.5	.217/.262/.366	.149	.273	21	5	29%	5%	68	-0.2
✕Andrew Knapp 2023 · MLB	31	39→49	47→45	44→40	43	.199/.269/.331	.132	.271	15	5	32%	8%	66	-0.6	.211/.279/.335	.124	.296	13	5	31%	8%	71	-0.3	.212/.285/.326	.115	.299	12	3	31%	8%	69	-0.3
✕Jett Bandy 2021 · MLB	31	40	49→50	44→45	38	.209/.270/.352	.143	.267	18	6	29%	4%	72	-0.2	.213/.276/.337	.124	.297	14	8	32%	6%	70	-0.3	.172/.245/.252	.080	.248	10	0	33%	6%	37	-0.5
✕Omir Santos 2012 · MLB	31	45→44	42→45	47→30	42	.222/.256/.322	.100	.256	10	4	19%	4%	56	-1.3	.221/.249/.313	.092	.283	7	4	24%	3%	50	-1.7	.226/.248/.310	.084	.294	5	0	25%	2%	47	-0.7
✕Koyie Hill 2011 · MLB	32	46→43	43→45	47→40	45	.224/.281/.339	.115	.293	10	4	26%	7%	72	-0.2	.202/.254/.288	.086	.270	7	5	26%	6%	47	-1.9	.185/.233/.257	.072	.245	5	1	26%	6%	27	-1.4
✕Xorge Carrillo 2019 · AAA	30	45	42→40	45→30	41	.221/.269/.318	.097	.283	10	4	25%	5%	62	-0.9	.243/.300/.367	.124	.283	13	7	18%	6%	87	+0.8	.264/.325/.383	.119	.292	13	2	14%	6%	98	+0.6
✕Justin Leone 2007 · MLB	30	41	47→50	43→55	46	.211/.283/.343	.132	.274	16	6	28%	8%	75	-0.0	.206/.284/.351	.145	.269	16	16	28%	9%	78	+0.2	.187/.272/.333	.146	.244	16	19	29%	10%	67	-0.4
✕Nick Green 2010 · MLB	31	44→47	48→50	40→45	40	.224/.272/.362	.138	.282	16	5	26%	5%	75	-0.0	.212/.262/.336	.124	.264	12	5	24%	5%	63	-0.8	.209/.257/.338	.128	.255	12	3	23%	4%	59	-0.6
✕Tommy Field 2017 · MLB	30	41→50	46→45	48→45	45	.210/.276/.342	.132	.256	14	7	24%	7%	72	-0.2	.201/.254/.311	.110	.252	11	7	24%	5%	53	-1.5	.184/.232/.273	.088	.234	7	5	24%	4%	31	-2.3
✕Cody Clark 2013 · AAA	31	39	42→45	45→40	44	.195/.243/.294	.098	.230	9	4	20%	5%	44	-2.1	.191/.231/.274	.083	.251	8	6	26%	4%	33	-2.9	.159/.188/.196	.037	.224	2	0	30%	3%	-9	-1.9
✕David Matranga 2008 · AAA	31	40	46→45	50	43	.204/.272/.327	.122	.263	14	12	28%	7%	66	-0.6	.217/.291/.342	.125	.292	13	9	29%	8%	78	+0.2	.211/.297/.329	.119	.288	12	5	29%	9%	75	+0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)