Romy Gonzalez

2B Worcester Red Sox

Age 30 R/R 6'0" / 215 lbs AAA HR -5%K -4% Svc 4.250 · Ctrl thru 2028

Overview

AAA40-MANArb-2FA 2029

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	27	AAABOS	57	.373/.429/.667	3	3	141	—	.327/.375/.558
2024	27	MLBBOS	216	.266/.311/.417	6	11	97	0.2
2025	28	MLBBOS	341	.305/.348/.483	9	6	123	0.7
2026	29	AAABOS	119	.321/.385/.481	3	1	101	—	.282/.325/.400
2026	29	MLBBOS	73	.185/.264/.308	1	1	58	-0.2
2027PROJ45% MLB	30	MLBBOS	83	.271/.323/.438	2	2	108	0.3
2028PROJ53% MLB	31	MLBBOS	91	.264/.315/.424	3	1	102	0.1

Last 3 seasons WAR 0.7 · Next 2 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2028Service4.250First FA2029

2027Arb-2$1M2028Arb-3$1M

Skills · percentileStatcast 2024-2026

Avg EV90

Bat Spd78

xwOBA67

Barrel%63

Speed37

CompsJosh Fields (age 29) · Pat O'Sullivan (age 30) · Brennan Boesch (age 30)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 114108vR 90

AVG/OBP/SLG.271 / .323 / .438

PA83

HR2

K%24

BB%6

BABIP334

ISO156

MLB%45%

Value2027 · WAR

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

Tools · Splits · ContractCON 55 / POW 55

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT55

xAVG

640.262

POWER55

Barrel%

6310.2

Avg EV

9092.3

Bat Spd

7874.3

EYE35

scouting grade only

SPEED55

Sprint

3726.9

Platoon Splits2024-2025 · 557 PA

vs LHP

vs RHP

Edge

273

284

—

wRC+

156

◀◀L

wOBA

398

285

◀◀L

ISO

244

097

◀◀L

BABIP

384

346

◀L

24.9%

25.0%

—

BB%

7.7%

2.8%

◀◀L

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

Status Arb-2

MLB Debut 2021

Service 4.250 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-2	$1M	+0.2	$0.7M	+$0.0M (cut)
2028	Arb-3	$1M	+0.1	$0.4M	+$0.0M (cut)
Totals		$0.0M		$1M	+$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.

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)
2018	21	ROK	Great Falls Voyagers	—	223	201	51	15	2	10	18	65	3	10	1	254	324	498	822	244	323	29	8	358	37	—	—	—	—	—	—
2019	22	A	Kannapolis Intimidators	—	405	352	86	22	4	4	38	108	8	11	3	244	332	364	695	119	337	27	9	311	42	—	—	—	—	—	—
2021	24	MLB	Chicago White Sox	—	33	32	8	3	0	0	1	11	0	0	0	250	273	344	616	94	381	33	3	275	71	-1	+0	-0	+2	+1	0.1
2021	24	AAA	Charlotte Knights	—	60	54	20	6	0	4	5	15	0	3	0	370	424	704	1.127	333	444	25	8	476	131	—	—	—	—	—	—
2021	24	AA	Birmingham Barons	—	344	303	81	11	0	20	38	97	3	21	6	267	355	502	856	234	328	28	11	377	77	—	—	—	—	—	—
2022	25	MLB	Chicago White Sox	—	109	105	25	4	1	2	2	39	1	0	1	238	259	352	612	114	354	36	2	269	67	-4	-0	+1	+1	+2	-0.0
2022	25	AAA	Charlotte Knights	—	135	121	24	5	0	4	13	45	1	5	2	198	281	339	620	140	278	33	10	282	24	—	—	—	—	—	—
2022	25	ROK	ACL White Sox	—	19	17	8	0	0	4	1	2	1	0	0	471	526	1.176	1.703	706	364	11	5	704	191	—	—	—	—	—	—
2023	26	MLB	Chicago White Sox	—	97	93	18	4	2	3	2	36	0	7	0	194	211	376	587	183	273	37	2	249	53	-5	+1	-2	+0	+2	-0.4
2024	27	MLB	Boston Red Sox	—	216	199	53	10	1	6	12	58	1	11	3	266	311	417	728	151	338	27	6	318	97	-1	+1	-4	+1	+5	0.2
2024	27	AAA	Worcester Red Sox	—	57	51	19	2	2	3	4	10	1	3	2	373	429	667	1.095	294	410	18	7	464	141	—	—	—	—	—	—
2025	28	MLB	Boston Red Sox	—	341	315	96	23	3	9	18	81	3	6	5	305	348	483	831	178	378	24	5	361	123	+9	-1	-3	-6	+7	0.7
2026	29	MLB	Boston Red Sox	—	73	65	12	3	1	1	5	21	2	1	1	185	264	308	572	123	256	29	7	258	58	-4	-0	+0	+1	+2	-0.2
2026	29	AAA	Worcester Red Sox	—	119	106	34	8	0	3	11	22	0	1	0	321	385	481	866	160	373	18	9	378	101	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	869	809	212	47	8	21	40	246	7	25	10	262	303	418	720	156	345	28	5	314	99	-1	+1	-9	-2	+19	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	21	ROK MLE	Great Falls Voyagers	—	223	208	33	9	1	6	11	94	3	10	1	159	212	298	510	139	243	42	5	223	37	—	—	—	—	—	—
2019	22	A MLE	Kannapolis Intimidators	—	405	366	67	15	3	4	24	147	8	11	3	183	249	273	522	90	282	36	6	230	42	—	—	—	—	—	—
2021	24	MLB MLE	Chicago White Sox	—	33	32	8	3	0	0	1	11	0	0	0	250	273	344	616	94	381	33	3	274	71	-1	+0	-0	+2	+1	0.1
2021	24	AAA MLE	Charlotte Knights	—	60	56	17	5	0	2	3	18	0	3	0	304	339	500	839	196	381	30	5	362	131	—	—	—	—	—	—
2021	24	AA MLE	Birmingham Barons	—	344	319	68	10	0	14	22	118	3	21	6	213	270	376	647	163	288	34	6	282	77	—	—	—	—	—	—
2022	25	MLB MLE	Chicago White Sox	—	109	105	25	4	1	2	2	39	1	0	1	238	259	352	612	114	354	36	2	268	67	-4	-0	+1	+1	+2	-0.0
2022	25	AAA MLE	Charlotte Knights	—	135	125	20	4	0	2	9	55	1	5	2	160	222	240	462	80	259	41	7	203	24	—	—	—	—	—	—
2022	25	ROK MLE	ACL White Sox	—	19	17	5	0	0	2	1	3	1	0	0	294	368	647	1.015	353	247	16	5	450	191	—	—	—	—	—	—
2023	26	MLB MLE	Chicago White Sox	—	97	93	18	4	2	3	2	36	0	7	0	194	211	376	587	183	273	37	2	247	53	-5	+1	-2	+0	+2	-0.4
2024	27	MLB MLE	Boston Red Sox	—	216	199	51	9	1	6	12	58	1	11	3	256	302	402	704	146	338	27	6	311	97	-1	+1	-4	+1	+5	0.2
2024	27	AAA MLE	Worcester Red Sox	—	57	52	17	2	2	2	3	12	1	3	2	327	375	558	933	231	353	21	5	377	141	—	—	—	—	—	—
2025	28	MLB MLE	Boston Red Sox	—	341	316	92	20	3	9	17	81	3	6	5	291	333	459	792	168	378	24	5	350	123	+9	-1	-3	-6	+7	0.7
2026	29	MLB MLE	Boston Red Sox	—	73	65	12	3	1	1	5	21	2	1	1	185	264	308	572	123	256	29	7	254	58	-4	-0	+0	+1	+2	-0.2
2026	29	AAA MLE	Worcester Red Sox	—	119	110	31	7	0	2	7	26	0	1	0	282	325	400	725	118	338	22	6	317	101	—	—	—	—	—	—
2018	21	ROK MLE	Great Falls Voyagers	—	223	208	33	9	1	6	11	94	3	10	1	159	212	298	510	139	248	42	5	223	37	—	—	—	—	—	—
2018	21	ROK RAW	Great Falls Voyagers	—	223	201	51	15	2	10	18	65	3	10	1	254	324	498	822	244	323	29	8	358	37	—	—	—	—	—	—
2019	22	A MLE	Kannapolis Intimidators	—	405	366	67	15	3	4	24	147	8	11	3	183	249	273	522	90	289	36	6	230	42	—	—	—	—	—	—
2019	22	A RAW	Kannapolis Intimidators	—	405	352	86	22	4	4	38	108	8	11	3	244	332	364	695	119	337	27	9	311	42	—	—	—	—	—	—
2021	24	AA MLE	3 teams	—	437	407	92	18	0	16	26	147	3	24	6	226	278	388	666	162	310	34	6	292	84	—	—	—	—	—	—
2021	24	AA RAW	3 teams	—	437	389	109	20	0	24	44	123	3	24	6	280	358	517	875	237	350	28	10	383	84	—	—	—	—	—	—
2022	25	AAA MLE	3 teams	—	263	247	50	8	1	6	12	97	3	5	3	202	248	316	564	113	303	37	5	248	54	—	—	—	—	—	—
2022	25	AAA RAW	3 teams	—	263	243	57	9	1	10	16	86	3	5	3	235	290	403	693	169	318	33	6	307	54	—	—	—	—	—	—
2023	26	MLB MLE	Chicago White Sox	—	97	93	18	4	2	3	2	36	0	7	0	194	211	376	587	183	273	37	2	247	53	-5	+1	-2	+0	+2	-0.4
2023	26	MLB RAW	Chicago White Sox	—	97	93	18	4	2	3	2	36	0	7	0	194	211	376	587	183	273	37	2	249	53	-5	+1	-2	+0	+2	-0.4
2024	27	MLB MLE	2 teams	—	273	251	68	11	3	8	15	70	2	14	5	271	317	434	751	163	337	26	5	325	106	+2	+1	-4	+1	+6	0.6
2024	27	MLB RAW	2 teams	—	273	250	72	12	3	9	16	68	2	14	5	288	336	468	804	180	354	25	6	348	106	+2	+1	-4	+1	+6	0.6
2025	28	MLB MLE	Boston Red Sox	—	341	316	92	20	3	9	17	81	3	6	5	291	333	459	792	168	359	24	5	350	123	+9	-1	-3	-6	+7	0.7
2025	28	MLB RAW	Boston Red Sox	—	341	315	96	23	3	9	18	81	3	6	5	305	348	483	831	178	378	24	5	361	123	+9	-1	-3	-6	+7	0.7
2026	29	AAA MLE	2 teams	—	192	175	42	9	1	3	12	47	2	2	1	240	296	354	651	114	307	24	6	293	84	—	—	—	—	—	—
2026	29	AAA RAW	2 teams	—	192	171	46	11	1	4	16	43	2	2	1	269	339	415	754	146	333	22	8	333	84	—	—	—	—	—	—
2018	21	ROK MLE	Great Falls Voyagers	—	223	207	33	9	1	6	11	94	3	10	1	159	212	300	511	140	243	42	5	223	37	—	—	—	—	—	—
2019	22	A MLE	Kannapolis Intimidators	—	405	370	67	15	3	4	24	147	8	11	3	181	249	270	519	89	282	36	6	230	42	—	—	—	—	—	—
2021	24	AA MLE	3 teams	—	437	405	92	18	0	16	26	147	3	24	6	227	278	390	668	163	308	34	6	292	84	—	—	—	—	—	—
2022	25	AAA MLE	3 teams	—	263	246	50	8	1	6	12	97	3	5	3	203	248	317	565	114	297	37	5	248	54	—	—	—	—	—	—
2023	26	MLB MLE	Chicago White Sox	—	97	95	18	4	2	3	2	36	0	7	0	189	211	368	579	179	273	37	2	247	53	—	—	—	—	—	—
2024	27	MLB MLE	2 teams	—	273	254	68	11	3	8	15	70	2	14	5	268	317	429	746	161	341	26	5	325	106	—	—	—	—	—	—
2025	28	MLB MLE	Boston Red Sox	—	341	318	92	20	3	9	17	81	3	6	5	289	333	456	789	167	378	24	5	350	123	—	—	—	—	—	—
2026	29	AAA MLE	2 teams	—	192	176	42	9	1	3	12	47	2	2	1	239	296	352	649	114	307	24	6	293	84	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	27	MLB MLE	2 teams	—	273	254	68	11	3	8	15	70	2	14	5	268	317	429	746	161	341	26	5	325	106	—	—	—	—	—	—
2025	28	MLB MLE	Boston Red Sox	—	341	318	92	20	3	9	17	81	3	6	5	289	333	456	789	167	378	24	5	350	123	—	—	—	—	—	—
2026	29	AAA MLE	2 teams	—	192	176	42	9	1	3	12	47	2	2	1	239	296	352	649	114	307	24	6	293	84	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	30	MLB MLE	BOS	45%	293	270	71	14	2	9	18	70	3	6	1	264	316	428	743	164	323	24	6	327	108	+3	+1	-1	+1	+6	0.4
▸ 2027 — real world (MLB)
2027	30	MLB CTX	BOS	45%	83	77	20	4	1	2	5	20	1	2	0	271	323	438	760	166	334	24	6	334	108	+1	+0	-0	+0	+2	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	31	MLB MLE	BOS	53%	172	158	41	8	1	5	10	42	2	2	1	257	309	414	723	157	317	24	6	319	102	+0	+0	-4	+1	+4	0.1
2028	31	MLB CTX	BOS	53%	91	85	23	5	1	3	5	22	1	1	0	264	315	424	740	160	328	24	5	326	102	+0	+0	-2	+0	+2	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	960	894	235	52	9	24	45	268	8	26	10	263	304	422	726	159	344	28	5	315	80	-1	+1	-11	-1	+21	0.9
/ 162G	—	A+C		—	650	605	159	35	6	16	30	181	5	18	7	263	302	420	722	157	345	28	5	315	80	-1	+1	-7	-1	+14	0.6
Career	—	MLE		—	2588	2391	547	111	16	65	140	805	28	85	26	229	279	370	650	141	313	31	5	286	80	+1	+1	-13	-0	+27	1.6
/ 162G	—	MLE		—	650	601	137	28	4	16	35	202	7	21	7	228	278	368	646	140	312	31	5	286	80	+0	+1	-7	-0	+14	0.8

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 AAAWorcester Red Sox · 119 PAwOBA .374 → .317 (−58)K% 18.5% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.49%	÷1.000	×1.200	—	—	22.18%
BB% (unintentional) /PA	9.24%	÷1.000	×0.690	—	×0.972	6.20%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	27.38%	÷1.000	×0.930	×1.041	×0.972	25.78%
Doubles /BIP	9.52%	÷1.000	×0.830	×1.041	×0.972	8.00%
Triples /BIP	0.00%	÷1.000	×0.970	×1.041	×0.972	0.00%
Home runs /BIP	3.57%	÷1.000	×0.700	—	×0.972	2.43%

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 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 ×1.041.

Result: wOBA .374 → .317; ISO .160 → .123; BABIP .373 → .338. 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 AAAWorcester Red Sox · 57 PAwOBA .459 → .377 (−82)K% 17.5% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.54%	÷1.004	×1.200	—	—	20.96%
BB% (unintentional) /PA	7.02%	÷1.049	×0.690	—	×0.992	4.58%
HBP% /PA	1.75%	—	×0.940	—	×0.992	1.64%
Singles /BIP	29.27%	÷1.036	×0.930	—	×0.992	26.06%
Doubles /BIP	4.88%	÷0.951	×0.830	—	×0.992	4.22%
Triples /BIP	4.88%	÷1.143	×0.970	—	×0.992	4.11%
Home runs /BIP	7.32%	÷0.996	×0.700	—	×0.992	5.10%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 107, 2B 90, 3B 129, K 101, BB 110 — 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).

Result: wOBA .459 → .377; ISO .294 → .226; BABIP .410 → .353. 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 AAACharlotte Knights · 135 PAwOBA .275 → .203 (−72)K% 33.3% → 41.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.975	×1.200	—	—	41.04%
BB% (unintentional) /PA	9.63%	÷1.028	×0.690	—	×1.018	6.58%
HBP% /PA	0.74%	—	×0.940	—	×1.018	0.71%
Singles /BIP	19.74%	÷1.003	×0.930	×1.050	×1.018	19.57%
Doubles /BIP	6.58%	÷1.028	×0.830	×1.050	×1.018	5.68%
Triples /BIP	0.00%	÷0.900	×0.970	×1.050	×1.018	0.00%
Home runs /BIP	5.26%	÷1.421	×0.700	—	×1.018	2.64%

Factors used: league row International League. Park (home-season share, regressed): HR 184, 1B 101, 2B 106, 3B 80, K 95, BB 106 — 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 ×1.050.

Result: wOBA .275 → .203; ISO .140 → .078; BABIP .278 → .259. 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 ROKACL White Sox · 19 PAwOBA .681 → .450 (−231)K% 10.5% → 15.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.53%	÷1.008	×1.440	—	—	15.04%
BB% (unintentional) /PA	5.26%	÷0.961	×0.620	—	×0.940	3.19%
HBP% /PA	5.26%	—	×0.720	—	×0.940	3.56%
Singles /BIP	26.67%	÷1.000	×0.820	—	×0.940	20.56%
Doubles /BIP	0.00%	÷1.287	×0.720	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.104	×0.720	—	×0.940	0.00%
Home runs /BIP	26.67%	÷1.173	×0.780	—	×0.940	16.66%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 135, 1B 100, 2B 157, 3B 121, K 102, BB 92 — applied at half strength. Age: age 26 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (6.5 yr older than average).

Result: wOBA .681 → .450; ISO .706 → .437; BABIP .364 → .247. 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 AABirmingham Barons · 344 PAwOBA .365 → .282 (−83)K% 28.2% → 34.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.20%	÷1.000	×1.220	—	—	34.39%
BB% (unintentional) /PA	10.47%	÷1.119	×0.690	—	×0.998	6.44%
HBP% /PA	0.87%	—	×0.850	—	×0.998	0.74%
Singles /BIP	24.27%	÷1.075	×0.940	×1.025	×0.998	21.70%
Doubles /BIP	5.34%	÷0.928	×0.870	×1.025	×0.998	5.12%
Triples /BIP	0.00%	÷1.150	×0.920	×1.025	×0.998	0.00%
Home runs /BIP	9.71%	÷1.087	×0.780	—	×0.998	6.95%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 115, 2B 86, 3B 130, K 100, BB 124 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .365 → .282; ISO .234 → .172; BABIP .328 → .288. 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 AAACharlotte Knights · 60 PAwOBA .470 → .362 (−108)K% 25.0% → 29.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.011	×1.200	—	—	29.68%
BB% (unintentional) /PA	8.33%	÷1.053	×0.690	—	×1.033	5.64%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	25.64%	÷0.986	×0.930	—	×1.033	24.97%
Doubles /BIP	15.38%	÷1.128	×0.830	—	×1.033	11.69%
Triples /BIP	0.00%	÷1.020	×0.920	—	×1.033	0.00%
Home runs /BIP	10.26%	÷1.190	×0.700	—	×1.033	6.23%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 97, 2B 126, 3B 104, K 102, BB 111 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).

Result: wOBA .470 → .362; ISO .333 → .218; BABIP .444 → .381. 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 AKannapolis Intimidators · 405 PAwOBA .306 → .230 (−76)K% 26.7% → 36.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷0.982	×1.340	—	—	36.38%
BB% (unintentional) /PA	9.38%	÷1.031	×0.660	—	×0.990	5.95%
HBP% /PA	1.98%	—	×0.770	—	×0.990	1.51%
Singles /BIP	22.95%	÷0.998	×0.920	×0.950	×0.990	19.91%
Doubles /BIP	9.02%	÷1.038	×0.820	×0.950	×0.990	6.70%
Triples /BIP	1.64%	÷0.969	×0.940	×0.950	×0.990	1.50%
Home runs /BIP	1.64%	÷0.849	×0.820	—	×0.990	1.57%

Factors used: league row SAL. Park (home-season share, regressed): HR 70, 1B 100, 2B 108, 3B 94, K 96, BB 106 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .306 → .230; ISO .119 → .093; BABIP .337 → .282. 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).

2018 ROKGreat Falls Voyagers · 223 PAwOBA .349 → .223 (−126)K% 29.1% → 42.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.15%	÷1.000	×1.440	—	—	41.97%
BB% (unintentional) /PA	8.07%	÷1.000	×0.610	—	×0.975	4.80%
HBP% /PA	1.35%	—	×0.720	—	×0.975	0.94%
Singles /BIP	17.65%	÷1.000	×0.820	×1.016	×0.975	14.33%
Doubles /BIP	11.03%	÷1.000	×0.720	×1.016	×0.975	7.87%
Triples /BIP	1.47%	÷1.000	×0.720	×1.016	×0.975	1.05%
Home runs /BIP	7.35%	÷1.000	×0.750	—	×0.975	5.38%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .349 → .223; ISO .244 → .151; BABIP .323 → .243. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Bakerlast yr '15 career totals — 10 seasons, 1,915 PA	2.9	1,915	53	14	266	318	432	-17	-17	4.6	5.3
/162	664	18	5	-5.7	-5.8	1.6	pk7: 6
#2Rex Hudler'84-'98 * career totals — 10 seasons, 1,888 PA	2.8	1,888	56	107	255*	290*	433*	-4	-8	3.1	4.2
/162	664	20	38	-1.3	-3.0	1.1	pk7: 5
#3Tyler Houston'96-'03 * career totals — 8 seasons, 1,946 PA	2.9	1,946	63	10	254*	298*	410*	+10	-14	3.3	3.5
/162	664	21	3	+3.4	-4.6	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	1.5	1,011	26	28	262	301	420	+2	-12	2.9	2.9
/162	664	17	18	+1.1	-7.6	1.9	pk7: 3
#4Greg Dobbslast yr '13 career totals — 9 seasons, 2,201 PA	3.3	2,201	46	14	262	307	388	-1	-26	2.0	2.8
/162	664	14	4	-0.4	-7.7	0.6	pk7: 4
#5Conor Gillaspielast yr '17 career totals — 5 seasons, 1,503 PA	2.3	1,503	32	1	252	305	394	+5	-14	2.2	2.2
/162	664	14	0	+2.4	-6.1	1.0	pk7: 2
#6Chico Salmon'64-'72 * career totals — 8 seasons, 1,802 PA	2.7	1,802	31	46	259*	298*	392*	-4	-16	-0.1	0.8
/162	664	11	17	-1.5	-6.0	-0.0	pk7: 2

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
Romy Gonzalez (OGILVIE)	30	55	55	55	35	261/313/424	163	323	5	4	24%	6%	108	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Josh Fields 2012 · MLB	29	51→54	53→55	51→50	45	258/313/434	176	314	20	12	24%	7%	109	+2.0	241/287/359	118	330	11	11	28%	6%	82	-0.0	240/284/342	103	331	8	9	29%	6%	75	-0.3
✕Pat O'Sullivan 2007 · AAA	30	53→49	51→50	50	46	268/317/431	162	307	19	15	20%	6%	110	+2.1	264/315/402	138	317	15	11	21%	6%	103	+1.5	273/324/395	122	338	13	6	22%	5%	102	+0.5
✕Brennan Boesch 2015 · MLB	30	46→56	52→55	51→50	40	240/279/410	170	290	20	12	25%	5%	91	+0.7	229/268/353	124	286	14	8	25%	5%	74	-0.6	222/258/307	85	279	10	4	24%	4%	58	-0.7
✕Edward Olivares 2024 · MLB	28	52→53	52→55	49→55	46	264/319/437	173	298	19	16	19%	6%	112	+2.2	243/306/386	143	278	17	15	19%	7%	96	+1.0	222/291/325	103	252	15	17	18%	7%	76	-0.2
✕Nelson Teilon 2010 · AAA	30	56→60	50→55	50	42	279/318/435	156	328	17	12	21%	4%	111	+2.1	251/295/394	143	301	15	13	21%	5%	93	+0.8	249/289/388	140	295	14	15	20%	4%	86	+0.2
●Harrison Bader 2023 · MLB	29	50→57	50→55	54→55	44	252/303/405	153	295	17	21	21%	6%	99	+1.2	242/293/375	133	289	15	23	21%	6%	88	+0.5	246/306/404	158	305	19	16	25%	6%	101	+0.8
✕Brandon Dixon 2022 · MLB	30	48	52→60	51→55	39	243/292/413	171	325	20	9	31%	6%	97	+1.1	244/303/457	213	319	29	14	32%	7%	112	+2.2	229/288/435	206	305	29	14	34%	6%	101	+0.7
✕Masataka Yoshida 2024 · MLB	31	55→57	49→50	54→45	49	273/324/427	154	296	16	9	14%	6%	112	+2.2	266/327/402	136	288	14	7	13%	7%	107	+1.8	263/330/387	123	283	13	5	12%	7%	106	+0.9
●José A. Martínez 2018 · MLB	30	55→65	50→55	52→50	49	275/330/431	156	317	18	10	19%	8%	115	+2.4	280/342/433	153	331	18	5	20%	9%	120	+2.8	292/357/441	149	343	18	2	19%	9%	128	+2.8
✕Mike Brosseau 2023 · MLB	29	46→56	50→55	52→45	46	230/315/382	152	304	19	8	29%	9%	99	+1.2	210/279/338	128	266	17	6	27%	7%	76	-0.4	188/254/293	105	233	15	5	26%	6%	53	-1.0
✕Chad Pinder 2022 · MLB	30	47→57	53→60	47→45	44	242/298/417	175	296	20	4	25%	7%	100	+1.3	236/278/391	155	308	19	5	29%	5%	86	+0.3	235/264/391	156	311	21	3	31%	4%	82	-0.0
●Joey Meneses 2021 · AAA	29	51→56	52→55	48→40	42	259/301/421	163	321	20	6	26%	6%	102	+1.5	251/292/415	164	303	19	3	23%	5%	97	+1.1	261/304/416	156	312	18	1	22%	5%	102	+1.4
✕Justin Maxwell 2014 · MLB	30	44→45	56→60	52→60	45	231/302/425	195	307	23	15	32%	8%	103	+1.6	211/275/344	133	302	15	9	33%	7%	74	-0.5	193/255/298	105	279	13	6	34%	6%	56	-0.8
●Jonny Gomes 2011 · MLB	30	48→53	55→60	47→50	45	250/314/437	187	297	23	8	24%	7%	111	+2.1	243/335/434	191	302	25	8	27%	10%	118	+2.6	233/341/429	196	291	26	6	28%	12%	120	+1.7
●Ruben Mateo 2007 · MLB	29	47→50	49→60	50→45	48	236/302/390	154	273	17	10	20%	7%	95	+1.0	226/296/386	160	282	20	8	26%	7%	93	+0.8	251/308/443	192	275	26	1	20%	4%	110	+1.5
●Mendy López 2004 · MLB	30	50→54	50→55	53→30	42	251/300/409	158	321	17	11	27%	6%	99	+1.2	244/314/412	168	295	21	8	24%	9%	105	+1.7	252/328/441	188	298	24	1	23%	10%	116	+1.8
✕Darnell McDonald 2011 · MLB	32	51→55	49→55	56→55	44	252/299/413	161	309	15	15	23%	6%	99	+1.2	224/285/362	138	271	14	10	22%	7%	82	+0.0	198/263/310	112	238	12	9	21%	7%	61	-0.7
●Kit Pellow 2004 · MLB	30	53→55	50→60	49→40	49	260/340/423	163	328	17	10	25%	9%	117	+2.6	244/312/397	153	315	17	7	27%	7%	101	+1.4	253/318/453	200	277	28	3	20%	5%	117	+1.7
✕Juan Encarnacion 2006 · MLB	30	52→58	51→55	45→50	49	264/321/429	165	292	18	9	17%	7%	111	+2.1	264/309/421	157	291	17	7	16%	6%	105	+1.7	264/304/418	154	287	17	5	15%	5%	103	+1.2
●Eric Byrnes 2006 · MLB	30	51→56	50→60	54→60	50	253/318/421	168	281	16	12	16%	7%	108	+1.9	262/318/444	182	282	20	25	15%	7%	114	+2.3	263/320/450	186	281	21	31	15%	7%	116	+2.1

Romy Gonzalez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps