Matthew Wood — OGILVIE

Matthew WoodC Biloxi Shuckers

Age 25 L/R 5'10" / 191 lbs AA HR -4% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION255 act + 170 ros · stats below = ROS only

wRC+†90

AVG/OBP/SLG.218 / .315 / .347

PA170

HR4

K%18

BB%11

BABIP246

ISO129

MLB%2%

Value2026 · WAR

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

Tools · ContractCON 40 / POW 35

Toolsscout grade

CONTACT40

scouting grade only

POWER35

scouting grade only

EYE55

scouting grade only

SPEED30

scouting grade only

DEFENSE45

scouting grade only

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+1.4	$10M	+$10M
2028	Pre-Arb	$0.8M	+1.5	$10M	+$10M
2029	Pre-Arb	$0.8M	+1.5	$10M	+$9M
2030	Arb-1	$3M	+1.3	$8M	+$6M
2031	Arb-2	$4M	+1.2	$7M	+$4M
2032	Arb-3	$4M	+0.9	$2M	+$0.2M
Totals		$13M		$47M	+$39M

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
2023	22	A+	2 teams	—	470	414	82	12	1	3	47	100	6	3	1	198	289	254	543	56	252	21	10	250	49	—	—	—	—	—	—
2023	22	A+	2 teams	—	470	388	98	15	1	4	73	68	6	3	1	253	379	327	706	75	295	14	16	330	111	—	—	—	—	—	—
2024	23	A+	Wisconsin Timber Rattlers	—	379	333	62	12	1	3	33	71	9	2	1	186	277	255	533	69	224	19	9	247	47	—	—	—	—	—	—
2024	23	A+	Wisconsin Timber Rattlers	—	379	319	75	15	2	4	47	52	9	2	1	235	349	332	682	97	266	14	12	314	99	—	—	—	—	—	—
2025	24	AA	2 teams	—	361	313	64	11	0	5	35	77	8	10	2	204	301	288	588	83	250	21	10	267	63	—	—	—	—	—	—
2025	24	AA	2 teams	—	361	297	76	16	0	7	50	51	8	10	2	256	376	380	757	125	283	14	14	343	121	—	—	—	—	—	—
▸ 2026 Season (ACT · ROS-MLE · ROS-CTX · FULL)
YTD	25	AA	MIL	—	255	214	49	7	2	12	32	37	4	3	1	229	340	449	789	220	219	15	13	337	116	+5	+0	+0	+5	+7	1.7
YTD	25	AA	MIL	—	255	199	51	8	2	12	47	29	4	3	1	256	408	497	905	241	241	11	18	394	160	+17	+0	+0	+5	+7	3.0
ROS	25	AA	MIL	2%	170	147	32	5	1	4	18	30	3	2	1	218	315	347	662	129	243	18	11	303	90	-2	+0	-0	+3	+5	0.6
ROS	25	MLB	MIL	2%	3	3	0	0	0	0	0	1	0	0	0						241	33	0	289	80	-0	+0	-0	+0	+0	0.0
FULL	25	AA	MIL	—	258	217	49	7	2	12	32	38	4	3	1	226	336	442	778	217	216	15	12	336	116	+5	+0	-0	+5	+7	1.7
TOT	25	AA	MIL	—	425	361	81	12	3	16	50	67	7	5	2	224	330	407	737	183	230	16	12	324	106	+3	+0	-0	+8	+12	2.3
▸ 2027+ Projections WITH CONTEXT · MLB TIME ONLY ⓘPARK-NEUTRAL MLE · ALL-LEVEL PT ⓘ
2027	26	MLB	MIL	39%	361	314	69	12	2	9	39	66	5	4	1	220	316	357	672	137	246	18	11	305	91	-3	+0	-0	+6	+10	1.4
2028	27	MLB	MIL	53%	385	335	74	13	2	10	41	72	6	4	1	221	317	361	678	140	249	19	11	306	93	-3	+0	-0	+7	+11	1.5
2029	28	MLB	MIL	60%	399	347	77	13	2	11	43	76	6	4	1	222	318	366	684	144	251	19	11	306	93	-3	+0	-1	+7	+11	1.5
2030	29	MLB	MIL	62%	399	347	76	13	2	10	43	77	6	3	1	219	316	354	670	135	251	19	11	305	91	-4	+0	-2	+7	+11	1.3
2031	30	MLB	MIL	63%	397	346	76	13	2	10	43	77	5	3	1	220	315	355	670	136	250	19	11	302	89	-5	+0	-2	+7	+11	1.2
2032	31	MLB	MIL	63%	374	326	69	12	1	9	40	74	5	3	1	212	307	337	645	126	248	20	11	298	86	-6	+0	-3	+7	+11	0.9
2033	32	MLB	MIL	69%	347	302	63	11	1	8	37	70	5	2	1	209	305	331	636	123	244	20	11	292	82	-7	+0	-4	+6	+10	0.5
2027	26	MLB	MIL	39%	140	122	27	4	1	4	15	26	2	1	0	221	317	369	685	148	244	19	11	292	81	-3	+0	-0	+3	+4	0.4
2028	27	MLB	MIL	53%	202	175	39	7	1	5	22	38	3	2	1	223	320	360	680	137	247	19	11	293	83	-4	+0	-0	+4	+6	0.5
2029	28	MLB	MIL	60%	239	208	46	8	1	6	26	45	3	2	1	221	316	356	672	135	249	19	11	293	83	-5	+0	-1	+4	+7	0.6
2030	29	MLB	MIL	62%	246	215	46	8	1	6	26	47	3	2	1	214	307	344	652	130	249	19	11	292	82	-5	+0	-1	+4	+7	0.5
2031	30	MLB	MIL	63%	249	217	47	8	1	6	27	49	3	2	1	217	312	346	657	129	248	20	11	289	80	-6	+0	-1	+4	+7	0.4
2032	31	MLB	MIL	63%	237	207	45	8	1	6	25	47	3	2	0	217	311	353	663	135	246	20	11	286	77	-6	+0	-2	+4	+7	0.3
2033	32	MLB	MIL	69%	240	209	44	7	1	6	26	49	3	1	0	211	307	340	646	129	242	20	11	280	73	-7	+0	-3	+4	+7	0.1
▸ Career Totals
Career	—			—	1556	1356	294	50	7	39	167	302	20	12	4	217	312	350	662	133	250	19	11	289	79	-36	+1	-8	+28	+44	2.9
/ 162G	—			—	650	566	123	21	3	16	70	126	8	5	2	217	312	350	662	133	251	19	11	289	79	-15	+0	-3	+12	+18	1.2
Career	—			—	4042	3524	744	127	15	82	419	790	64	40	12	211	306	325	632	114	247	20	10	288	78	-98	+3	-12	+72	+115	8.1
/ 162G	—			—	650	567	119	20	2	13	67	127	10	6	2	210	304	321	625	111	246	20	10	288	78	-16	+0	-2	+12	+18	1.3

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
2023	22	A+	Wisconsin Timber Rattlers	—	361	306	74	8	1	1	47	53	5	2	1	242	352	284	636	42	286	15	13	300	88	-5	+0	—	—	+10	0.5
2023	22	A	Carolina Mudcats	—	109	82	24	7	0	3	26	15	1	1	0	293	468	488	956	195	328	14	24	429	187	+11	+0	—	—	+3	1.4
2024	23	A+	Wisconsin Timber Rattlers	—	379	319	75	15	2	4	47	52	9	2	1	235	349	332	682	97	266	14	12	314	99	-1	+0	—	—	+11	1.0
2025	24	AA	Biloxi Shuckers	—	245	207	56	12	0	6	30	33	5	8	1	271	376	415	791	145	292	13	12	355	130	+8	+1	—	—	+7	1.7
2025	24	A+	Wisconsin Timber Rattlers	—	116	90	20	4	0	1	20	18	3	2	1	222	377	300	677	78	260	16	17	319	102	+0	+0	—	—	+3	0.4

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
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	11	4,009	134	6	234	301	398	+72	+7	16.9	15.7
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	/162	664	22	1	234	301	398	+11.9	+1.2	2.8	pk7: 14
#2Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	9	3,127	110	5	235	308	414	+56	-10	14.1	14.8
	/162	664	23	1	235	308	414	+11.9	-2.1	3.0	pk7: 16
#3Robinson Chirinoslast yr '22 career totals — 10 seasons, 2,427 PA	10	2,427	95	5	227	320	420	+43	-10	12.9	13.8
	/162	664	26	1	227	320	420	+11.9	-2.8	3.5	pk7: 15
#4Kelly Shoppachlast yr '13 career totals — 8 seasons, 1,839 PA	8	1,839	70	1	225	314	417	+33	+14	11.3	11.5
	/162	664	25	0	225	314	417	+11.9	+5.0	4.1	pk7: 12
#5Stephen 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
#6A.J. Ellislast yr '18 career totals — 9 seasons, 2,290 PA	9	2,290	44	2	240	342	354	+41	-16	8.9	9.1
#6A.J. Ellislast yr '18 career totals — 9 seasons, 2,290 PA	/162	664	13	1	240	342	354	+11.9	-4.7	2.6	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	4	1,561	40	13	219	311	354	+28	-8	5.1	5.1
	/162	664	17	5	219	311	354	+11.9	-3.4	2.2	pk7: 5

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
Matthew Wood (OGILVIE)	25	30→40	35	30	55	224/330/407	183	230	16	5	16%	12%	106	+2.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kris Watts 2009 · AA	25	47→53	43→45	38→30	47	227/280/340	113	265	9	3	18%	6%	72	-0.2	239/314/357	118	280	10	3	18%	8%	91	+1.1	240/326/358	118	282	10	1	18%	9%	95	+0.7
●Bruce Maxwell 2016 · AA	25	45→48	37→45	38→30	45	214/267/283	68	277	5	2	24%	7%	51	-1.7	240/300/358	118	311	11	3	25%	8%	85	+0.7	243/309/372	129	317	12	1	26%	9%	90	+0.5
✕Zach Dillon 2008 · A	25	49	42→45	37→30	50	237/294/349	113	272	8	3	16%	7%	79	+0.3	227/288/331	104	260	8	6	15%	7%	73	-0.1	211/285/290	80	222	5	0	8%	9%	67	-0.1
✕Michael Papierski 2022 · AAA	26	43→44	43→45	35→40	51	210/303/320	109	281	10	4	27%	10%	77	+0.1	208/288/312	104	268	11	3	25%	9%	69	-0.4	195/277/288	93	250	10	1	25%	9%	57	-0.7
✕Greg Cullen 2022 · AA	25	46→43	43→45	42→40	51	222/313/332	110	294	10	4	26%	10%	85	+0.7	235/325/339	104	322	10	6	27%	10%	92	+1.2	236/335/327	92	323	10	5	27%	11%	91	+0.5
✕Phil Clarke 2023 · AA	25	45	41→40	44→45	51	219/303/311	93	267	8	4	21%	9%	76	+0.0	226/306/320	94	265	9	8	17%	9%	79	+0.3	228/311/314	85	261	9	7	15%	9%	75	+0.0
✕Marco Rivera 2010 · AAA	26	48	42→40	40	50	231/296/331	100	278	10	7	20%	8%	76	+0.1	240/287/338	98	296	9	8	21%	6%	74	-0.1	260/294/326	66	319	6	2	20%	4%	72	-0.1
✕Drew Macias 2008 · AAA	25	46→52	42→45	40→50	48	226/289/332	106	276	9	7	21%	7%	74	-0.1	224/301/334	110	271	10	10	20%	9%	79	+0.3	218/301/321	104	263	9	11	20%	9%	74	-0.1
✕Tanner Morris 2023 · AAA	25	52→54	41→40	39→40	54	244/333/340	96	317	9	4	24%	11%	95	+1.4	230/312/327	97	307	8	5	25%	10%	82	+0.5	239/322/334	95	316	9	1	25%	10%	85	+0.5
✕Orlando Mercado 2009 · AA	24	44	42→45	39→40	57	213/305/313	101	245	10	4	18%	11%	77	+0.1	227/295/303	76	264	6	4	15%	8%	69	-0.4	228/290/297	69	263	5	2	15%	8%	63	-0.4
✕Michael Pérez 2018 · AA	25	43	41→50	40	43	210/265/310	100	280	8	3	27%	7%	57	-1.2	219/276/335	116	284	12	3	26%	7%	69	-0.4	195/258/323	128	243	16	0	26%	8%	56	-0.6
✕Juan Carlos Gamboa 2016 · AAA	25	48	42→45	40→50	43	235/285/340	105	292	9	9	22%	6%	74	-0.1	236/286/339	103	304	10	9	25%	6%	74	-0.1	237/296/326	89	318	10	5	27%	7%	75	+0.0
✕Luis Sierra 2012 · AA	25	44	40	40→45	41	215/257/309	95	277	7	4	25%	5%	53	-1.5	212/261/290	78	274	4	5	22%	6%	50	-1.7	228/285/299	72	286	0	0	19%	7%	59	-0.5
✕Nolan Fontana 2016 · AAA	25	46→43	39→40	41→50	54	211/310/304	93	305	4	9	29%	12%	76	+0.0	195/277/290	95	276	7	10	29%	10%	58	-1.2	184/288/308	124	252	11	12	29%	12%	68	-0.2
✕Thomas Berkery 2008 · AA	25	44→43	39→45	37→40	50	212/292/289	77	282	7	6	26%	9%	65	-0.7	210/280/307	97	289	8	6	28%	8%	63	-0.8	193/262/302	109	265	7	2	28%	8%	51	-0.8
✕Casey McElroy 2015 · AA	25	46→49	44→45	40→30	47	229/292/341	112	271	13	3	20%	7%	78	+0.2	226/281/321	95	283	8	4	22%	6%	67	-0.5	225/278/311	86	284	5	1	22%	6%	60	-0.7
✕Kyle Phillips 2009 · AA	25	50→52	44→45	39→30	46	246/291/358	112	284	12	2	18%	6%	81	+0.4	241/286/347	106	283	11	2	19%	6%	76	+0.0	234/280/333	98	271	11	0	18%	5%	66	-0.3
✕Adam Weisenburger 2014 · AA	25	43	40	40→30	44	205/284/296	91	284	8	4	29%	7%	63	-0.8	219/300/306	87	284	6	4	23%	8%	72	-0.2	216/301/294	78	272	4	2	20%	9%	67	-0.3
✕Sergio Burruel 2016 · AAA	25	49	39→30	39→30	43	237/287/318	80	304	7	5	24%	6%	69	-0.4	239/291/310	71	291	6	5	19%	6%	68	-0.5	241/305/316	75	293	8	1	20%	8%	73	-0.1
✕Tucker Barnhart 2016 · MLB	25	48→54	38→45	40	51	228/290/305	77	268	6	3	17%	8%	66	-0.6	247/317/361	114	291	10	4	17%	9%	92	+1.2	242/327/368	126	287	12	2	19%	11%	89	+0.7