Connor Wong — OGILVIE

Connor WongC Boston Red Sox

Age 30 R/R 5'10" / 190 lbs MLB H +3% Svc 3.459 · Ctrl thru 2028

2026 ROS PROJECTION134 act + 209 ros · stats below = ROS only

wRC+†vL 145131vR 94

AVG/OBP/SLG.263 / .338 / .403

PA209

HR4

K%23

BB%8

BABIP336

ISO140

MLB%100%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control

Tools · Splits · ContractCON 45 / POW 40

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT45

Whiff%

5110.8%

xwOBA

340.290

POWER40

Barrel%

275.3

Avg EV

1286.2

Bat Spd

5972.2

EYE45

Chase%

6828.2%

SPEED55

Sprint

4727.4

Platoon Splits2024-2026 · 700 PA

vs LHP

vs RHP

Edge

198

502

—

wRC+

125

◀◀L

wOBA

349

298

◀L

ISO

142

115

◀◀L

BABIP

345

322

◀L

21.7%

23.3%

◀L

BB%

10.6%

4.8%

◀◀L

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

Status Arb-1

MLB Debut 2022

Service 3.459 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$0.6M	+0.7	$3M	+$2M
2027	Arb-2	$2M	+0.8	$3M	+$0.7M
2028	Arb-3	$2M	+0.4	$1M	+$0.0M (cut)
Totals		$3M		$7M	+$3M

Career Stats + Projections

Viewactual = stats as recorded (prior seasons combined) + projected real-world MLB lines · MLE = level/park-neutral translations

Methodology▸ how these numbers are built

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. Catcher framing: only 2026 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 below FG-DC by 1-3 WAR.

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
2017	21	A	Great Lakes Loons	—	107	100	24	5	0	4	4	36	2	1	1	240	283	410	693	170	328	34	4	293	82	—	—	—	—	—	—
2017	21	A	Great Lakes Loons	—	107	97	27	6	0	5	7	26	2	1	1	278	340	495	834	216	328	24	7	364	137	—	—	—	—	—	—
2018	22	A+	Rancho Cucamonga Quakes	—	431	397	67	11	1	13	24	203	10	6	2	169	234	300	534	131	298	47	6	231	35	—	—	—	—	—	—
2018	22	A+	Rancho Cucamonga Quakes	—	431	383	103	20	2	19	38	138	10	6	2	269	350	480	831	211	372	32	9	368	139	—	—	—	—	—	—
2019	23	A+	2 teams	—	465	432	91	18	4	21	23	198	5	11	3	211	259	417	675	206	323	43	5	287	78	—	—	—	—	—	—
2019	23	A+	2 teams	—	465	423	119	24	7	24	32	143	5	11	3	281	339	541	881	260	365	31	7	378	148	—	—	—	—	—	—
2021	25	AAA	Worcester Red Sox	—	208	202	41	10	0	4	6	67	0	7	1	203	226	312	538	109	282	32	3	235	38	—	—	—	—	—	—
2021	25	AAA	Worcester Red Sox	—	208	199	51	13	0	8	9	58	0	7	1	256	288	442	731	186	323	28	4	321	104	—	—	—	—	—	—
2022	26	AAA	2 teams	—	411	379	86	15	0	15	24	110	5	7	3	227	282	385	667	158	277	27	6	289	79	—	—	—	—	—	—
2022	26	AAA	2 teams	—	411	371	102	23	0	16	32	96	5	7	3	275	341	466	807	191	330	23	8	355	130	—	—	—	—	—	—
2023	27	MLB	Boston Red Sox	—	403	371	83	22	2	9	22	134	6	8	2	224	278	367	645	143	323	33	5	284	75	-11	+1	-1	+7	+11	0.8
2023	27	MLB	Boston Red Sox	—	403	371	87	25	2	9	22	134	6	8	2	235	288	385	674	151	341	33	5	298	86	-6	+1	-1	+7	+11	1.3
2024	28	MLB	Boston Red Sox	—	487	447	119	21	1	13	28	114	9	8	7	266	322	405	727	139	329	23	6	321	104	+2	-1	-10	+9	+14	1.3
2024	28	MLB	Boston Red Sox	—	487	447	125	24	1	13	28	114	9	8	7	280	335	425	760	145	348	23	6	338	116	+9	-1	-10	+9	+14	2.0
2025	29	MLB	Boston Red Sox	—	188	168	30	7	0	0	16	42	1	2	1	179	254	220	474	42	234	22	9	222	28	-15	+0	+2	+3	+5	-0.5
2025	29	MLB	Boston Red Sox	—	188	168	32	8	0	0	16	42	1	2	1	190	265	238	503	48	250	22	9	233	37	-13	+0	+2	+3	+5	-0.3
▸ 2026 Season (ACT · ROS-MLE · ROS-CTX · FULL)
YTD	30	MLB	BOS	—	134	111	32	8	0	1	14	28	4	3	1	288	388	387	775	99	373	21	10	339	117	+3	+0	+1	+2	+4	1.0
YTD	30	MLB	BOS	—	134	111	32	8	0	1	14	28	4	3	1	288	388	387	775	99	373	21	10	342	120	+3	+0	+1	+2	+4	1.0
ROS	30	MLB	BOS	100%	209	186	49	12	1	4	17	49	4	4	1	263	338	403	741	140	327	23	8	324	106	+1	+0	-4	+4	+6	0.8
ROS	30	MLB	BOS	100%	209	186	49	12	0	4	17	49	4	4	1	263	338	392	731	129	335	23	8	317	101	+0	+0	-4	+4	+6	0.7
FULL	30	MLB	BOS	—	343	297	81	20	0	5	31	77	8	7	2	273	357	391	748	118	350	22	9	325	107	+3	+1	-3	+6	+10	1.7
TOT	30	MLB	BOS	—	343	297	81	20	1	5	31	77	8	7	2	273	357	397	754	125	350	22	9	330	110	+4	+1	-3	+6	+10	1.8
▸ 2027+ Projections WITH CONTEXT · MLB TIME ONLY ⓘPARK-NEUTRAL MLE · ALL-LEVEL PT ⓘ
2027	31	MLB	BOS	82%	318	283	72	17	1	6	26	75	6	5	1	254	330	385	715	131	321	24	8	317	101	+0	+1	-8	+6	+9	0.8
2028	32	MLB	BOS	82%	290	260	64	15	1	5	23	70	5	4	1	246	319	369	689	123	317	24	8	311	96	-1	+0	-8	+5	+8	0.4
2029	33	MLB	BOS	82%	254	228	55	13	0	4	20	62	4	3	1	241	313	351	664	110	311	24	8	303	90	-3	+0	-8	+5	+7	0.1
2030	34	MLB	BOS	77%	208	185	43	10	0	3	17	52	4	2	0	232	311	335	646	103	303	25	8	293	82	-4	+0	-8	+4	+6	-0.3
2031	35	MLB	BOS	73%	157	141	31	7	0	2	12	41	3	1	0	220	295	312	607	92	294	26	8	281	73	-5	+0	-8	+3	+4	-0.6
2027	31	MLB	BOS	82%	261	233	61	15	1	5	21	62	5	4	1	262	336	399	735	137	329	24	8	310	96	-1	+0	-7	+5	+7	0.5
2028	32	MLB	BOS	82%	238	213	53	13	0	4	19	57	4	3	1	249	322	366	688	117	325	24	8	304	91	-2	+0	-7	+4	+7	0.2
2029	33	MLB	BOS	82%	208	185	45	11	0	3	17	51	4	2	1	243	320	351	672	108	319	25	8	296	85	-4	+0	-7	+4	+6	-0.1
2030	34	MLB	BOS	77%	161	144	34	8	0	2	13	41	3	1	0	236	312	333	646	97	310	25	8	286	77	-4	+0	-7	+3	+5	-0.3
2031	35	MLB	BOS	73%	115	103	24	5	0	2	9	30	2	1	0	233	307	340	647	107	301	26	8	274	68	-4	+0	-6	+2	+3	-0.5
▸ Career Totals
Career	—			—	2326	2098	519	124	4	43	167	596	39	33	14	247	315	372	686	124	324	26	7	302	89	-29	+1	-45	+48	+66	4.2
/ 162G	—			—	650	586	145	35	1	12	47	167	11	9	4	247	315	372	687	125	324	26	7	302	89	-8	+0	-13	+13	+18	1.2
Career	—			—	4136	3779	855	183	11	103	262	1253	64	69	24	226	288	362	650	136	308	30	6	287	77	-105	+4	-53	+74	+117	3.7
/ 162G	—			—	650	594	135	29	2	16	41	197	10	11	4	227	288	364	652	136	310	30	6	287	77	-17	+1	-8	+12	+18	0.6

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	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
2017	21	A	Great Lakes Loons	—	107	97	27	6	0	5	7	26	2	1	1	278	340	495	834	216	328	24	7	364	137	+4	-0	—	—	+3	0.7
2018	22	A+	Rancho Cucamonga Quakes	—	431	383	103	20	2	19	38	138	10	6	2	269	350	480	831	211	372	32	9	368	139	+19	+0	—	—	+12	3.2
2019	23	AA	Tulsa Drillers	—	163	149	52	9	1	9	11	50	1	2	1	349	398	604	1.002	255	467	31	7	431	188	+16	+0	—	—	+5	2.1
2019	23	A+	Rancho Cucamonga Quakes	—	302	274	67	15	6	15	21	93	4	9	2	245	308	507	815	263	310	31	7	350	126	+9	+1	—	—	+9	1.9
2021	25	AAA	Worcester Red Sox	—	208	199	51	13	0	8	9	58	0	7	1	256	288	442	731	186	323	28	4	321	104	+1	+1	—	—	+6	0.8
2022	26	MLB	Boston Red Sox	—	56	48	9	3	0	1	5	16	1	0	0	188	278	312	590	125	250	29	9	262	59	-3	+0	+1	+7	+2	0.7
2022	26	AAA	Worcester Red Sox	—	355	323	93	20	0	15	27	80	4	7	3	288	350	489	839	201	341	23	8	369	141	+16	+0	—	—	+10	2.7
2023	27	MLB	Boston Red Sox	—	403	371	87	25	2	9	22	134	6	8	2	235	288	385	674	151	341	33	5	298	86	-6	+1	-1	+7	+11	1.3
2024	28	MLB	Boston Red Sox	—	487	447	125	24	1	13	28	114	9	8	7	280	335	425	760	145	348	23	6	338	116	+9	-1	-10	+9	+14	2.0
2025	29	MLB	Boston Red Sox	—	188	168	32	8	0	0	16	42	1	2	1	190	265	238	503	48	250	22	9	233	37	-13	+0	+2	+3	+5	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1134	1034	253	60	3	23	71	306	17	18	10	245	304	375	679	131	323	27	6	302	90	-13	-0	-9	+27	+32	3.7

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Top row of each card is career totals; bottom row is per-162-game rates. Pool: 727 completed hitter careers (2000-2024).

PLAYER · career totals + /162 games	YRS	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	12	3,544	77	14	250	308	370	+63	-1	12.1	11.6
	/162	664	14	3	250	308	370	+11.9	-0.2	2.3	pk7: 11
#2Nick Hundleylast yr '19 career totals — 12 seasons, 3,373 PA	12	3,373	93	15	247	299	405	+60	-31	10.3	10.8
	/162	664	18	3	247	299	405	+11.9	-6.0	2.0	pk7: 11
#3Stephen Vogtlast yr '22 career totals — 9 seasons, 2,571 PA	9	2,571	82	5	241	303	410	+36	-11	9.3	9.4
	/162	664	21	1	241	303	410	+9.2	-2.8	2.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	10	2,594	48	39	245	310	369	+42	-13	9.2	9.2
	/162	664	12	10	245	310	369	+10.8	-3.3	2.3	pk7: 9
#4Angel Berroalast yr '09 career totals — 8 seasons, 2,794 PA	8	2,794	46	50	259	303	375	+27	-6	6.8	7.1
	/162	664	11	12	259	303	375	+6.5	-1.4	1.6	pk7: 7
#5Gerald Lairdlast yr '14 career totals — 11 seasons, 2,690 PA	11	2,690	37	21	244	305	354	+48	-40	3.7	5.4
	/162	664	9	5	244	305	354	+11.9	-9.8	0.9	pk7: 7
#6Brendan Harrislast yr '13 career totals — 6 seasons, 1,819 PA	6	1,819	31	5	256	313	380	+18	-14	4.3	4.3
	/162	664	11	2	256	313	380	+6.6	-5.2	1.6	pk7: 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
Connor Wong (OGILVIE)	30	45	40	55	45	273/357/397	125	350	5	7	22%	9%	110	+1.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Pedro Severino 2023 · MLB	30	50→48	47→50	49→45	46	249/307/386	138	316	15	5	26%	7%	95	+1.4	225/282/357	132	285	15	11	26%	7%	77	+0.1	192/248/303	111	240	13	13	25%	6%	44	-0.9
✕P.J. Higgins 2023 · MLB	30	52→55	46→45	49→40	50	251/325/390	139	322	13	5	25%	9%	104	+2.0	234/289/356	122	305	12	3	26%	7%	80	+0.4	221/271/328	107	288	11	0	26%	6%	62	-0.7
✕Garrett Stubbs 2023 · MLB	30	48	48→45	53→50	55	239/325/383	144	296	16	11	24%	11%	102	+1.9	225/298/335	110	290	11	12	25%	8%	79	+0.3	217/287/307	90	281	9	11	25%	7%	65	-0.2
✕Gerald Laird 2010 · MLB	30	49→47	42→50	46→50	50	233/302/343	109	270	8	7	17%	8%	82	+0.5	233/297/344	111	269	9	7	17%	7%	80	+0.4	268/338/369	101	310	6	3	14%	8%	97	+0.4
✕Chris Herrmann 2017 · MLB	29	47→48	47→50	57→50	46	230/294/372	142	295	13	11	26%	8%	86	+0.8	221/302/378	157	287	19	8	28%	10%	92	+1.2	209/296/361	152	272	19	4	29%	11%	83	+0.2
✕Eric Fryer 2016 · MLB	30	50→60	40→45	50	47	238/300/329	91	307	7	9	24%	8%	77	+0.1	233/305/317	84	300	6	7	22%	9%	76	+0.1	261/333/311	50	330	0	0	19%	10%	84	+0.1
✕Steve Tolleson 2014 · MLB	30	48→53	42→45	49→50	49	234/302/339	105	293	9	15	23%	8%	81	+0.4	228/294/335	107	295	9	15	24%	8%	77	+0.1	233/294/334	101	303	8	18	24%	7%	73	-0.1
✕Eric Campbell 2016 · MLB	29	52→57	44→45	49→50	55	251/340/370	119	306	10	14	20%	10%	105	+2.1	241/327/351	110	299	9	12	21%	10%	95	+1.4	233/322/348	115	288	10	9	21%	10%	90	+0.7
✕Kevin Plawecki 2021 · MLB	30	50→56	46→45	46→30	50	248/320/385	138	292	13	5	19%	8%	101	+1.8	246/309/350	104	292	9	4	18%	7%	87	+0.8	234/299/315	81	288	6	0	20%	7%	70	-0.1
✕Austin Nola 2020 · MLB	30	50→54	47→45	48→45	49	248/317/385	137	302	14	6	22%	8%	99	+1.7	260/332/400	140	303	14	5	18%	8%	110	+2.4	263/339/378	116	298	11	1	15%	9%	103	+0.9
✕Jorge Alfaro 2023 · MLB	30	51→56	48→50	51→50	35	247/290/387	140	352	16	9	33%	4%	89	+0.9	236/280/375	139	331	15	10	32%	4%	82	+0.5	212/253/351	139	325	17	11	39%	3%	61	-0.4
✕Elias Díaz 2021 · MLB	30	51→56	43→50	44→45	49	248/304/357	109	287	11	3	18%	7%	85	+0.7	219/278/353	134	251	16	2	19%	7%	75	-0.0	242/293/380	138	290	16	0	22%	6%	85	+0.3
✕Shawn O'Malley 2018 · MLB	30	50→58	42→45	52→60	47	239/301/345	106	299	9	16	22%	7%	82	+0.5	228/278/331	103	293	9	11	24%	6%	68	-0.5	233/265/303	70	304	2	9	23%	4%	52	-0.5
✕Pablo Ozuna 2005 · MLB	30	48	45→40	54→55	49	236/302/361	125	263	12	15	16%	7%	87	+0.8	266/310/358	92	296	6	23	12%	5%	88	+0.9	288/324/385	97	318	4	16	10%	3%	98	+0.4
✕Josh Fields 2013 · MLB	30	48→56	45→55	50	43	236/291/362	127	319	13	10	29%	7%	82	+0.5	240/283/349	109	329	9	10	28%	6%	75	-0.0	250/287/350	100	340	7	9	28%	5%	74	-0.0
✕Kevan Smith 2020 · MLB	32	53→55	44→50	49→40	48	258/313/377	119	291	12	5	16%	6%	95	+1.4	231/303/351	120	292	12	7	24%	9%	85	+0.7	167/245/198	31	246	0	0	29%	9%	4	-0.9
✕David Bote 2023 · MLB	30	44→48	47→55	49→45	43	220/287/358	138	285	15	8	28%	7%	81	+0.4	229/296/387	158	286	17	8	25%	7%	92	+1.2	221/293/387	166	269	18	6	24%	8%	88	+0.4
✕Tim Federowicz 2019 · MLB	31	47→50	48→50	49→40	43	235/287/379	143	302	15	5	27%	6%	85	+0.7	209/262/341	132	278	15	6	29%	7%	65	-0.7	167/220/276	109	222	15	2	32%	6%	30	-1.3
✕Michael McKenry 2016 · MLB	31	46→47	49→55	43→40	53	230/316/381	151	281	16	8	24%	10%	98	+1.6	203/297/330	127	279	12	6	29%	11%	78	+0.2	175/277/284	109	247	10	2	31%	11%	55	-0.6
✕Erick Almonte 2008 · AAA	30	52→48	41→40	45	52	248/319/347	99	310	8	9	22%	10%	89	+1.0	244/302/342	98	307	8	7	22%	8%	81	+0.4	257/309/333	77	330	6	5	22%	7%	77	+0.1