Matt King — OGILVIE

Matt KingSS Altoona Curve

Age 23 R/R 6'1" / 195 lbs AA HR -15%K -5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION306 act + 9 ros · stats below = ROS only

showingROS

wRC+†82

AVG/OBP/SLG.250 / .333 / .250

PA9

HR0

K%22

BB%11

BABIP303

ISO95

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$16M ctrl surplus

Tools · ContractCON 63 / POW 33

Toolsscout grade

CONTACT63

scouting grade only

POWER33

scouting grade only

EYE55

scouting grade only

SPEED67

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2033	Arb-2	$4M	+0.4	$0.9M	+$0.0M (cut)
2034	Arb-3	$4M	+0.3	$0.7M	+$0.0M (cut)
Totals		$3M		$8M	+$4M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2025	22	A+	Greensboro Grasshoppers	—	21	21	4	3	0	0	0	2	0	1	0	190	190	333	524	143	211	10	0	227	39	-2	+0	—	—	+0	-0.1
2025	22	A	Bradenton Marauders	—	18	12	1	0	0	0	3	3	2	0	0	83	353	83	436		111	17	17	248	54	-1	+0	—	—	+0	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A+ MLE	Greensboro Grasshoppers	—	21	21	3	2	0	0	0	3	0	1	0	143	143	238	381	95	181	14	0	180	8	-2	+0	—	—	+0	-0.2
2025	22	A MLE	Bradenton Marauders	—	18	13	1	0	0	0	2	4	2	0	0	77	294	77	371		103	22	11	206	26	-2	+0	—	—	+0	-0.1
2025	22	A+ MLE	2 teams	—	39	34	4	2	0	0	2	7	2	1	0	118	211	176	387	59	148	18	5	192	16	—	—	—	—	—	—
2025	22	A+ RAW	2 teams	—	39	33	5	3	0	0	3	5	2	1	0	152	263	242	506	91	179	13	8	237	16	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	39	35	4	2	0	0	2	7	2	1	0	114	211	171	382	57	145	18	5	192	16	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	22	A+ MLE	2 teams	—	39	35	4	2	0	0	2	7	2	1	0	114	211	171	382	57	145	18	5	192	16	—	—	—	—	—	—
YTD	23	AA MLE	PIT	—	306	263	66	8	0	0	25	55	12	21	1	251	343	281	625	30	311	18	8	281	77	-9	+4	+0	+3	+7	0.5
▸ 2026 season
YTD	23	A+ RAW	PIT	—	95	66	19	1	0	0	14	11	9	10	1	288	457	303	760	15	328	12	15	357	77	—	—	—	—	—	—
YTD	23	AA RAW	PIT	—	211	179	45	7	0	0	23	33	3	11	0	251	341	291	632	39	306	16	11	292	77	—	—	—	—	—	—
ROS	23	AA MLE	PIT	2%	9	8	2	0	0	0	1	2	0	0	0	250	333	250	583		305	22	11	289	82	-0	+0	+0	+0	+0	0.0
TOT	23	AA MLE	PIT	—	315	271	68	8	0	0	26	57	12	21	1	251	343	280	623	30	312	18	8	282	77	-9	+4	+0	+3	+7	0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	PIT	31%	306	273	66	11	1	3	24	65	6	10	1	242	317	322	639	81	304	21	8	295	86	-5	+2	+0	+3	+7	0.6
2028	25	MLB MLE	PIT	45%	368	328	80	14	1	5	30	78	7	12	1	244	321	338	659	95	304	21	8	300	89	-5	+2	+0	+4	+8	0.9
2029	26	MLB MLE	PIT	51%	405	361	89	15	2	6	33	86	8	13	1	247	323	349	672	102	303	21	8	303	91	-4	+2	+0	+4	+9	1.1
2030	27	MLB MLE	PIT	53%	417	371	90	15	2	6	35	89	8	14	1	243	321	342	664	100	303	21	8	304	92	-4	+2	+0	+4	+9	1.2
2031	28	MLB MLE	PIT	53%	423	377	91	16	1	6	35	91	8	13	1	241	319	337	656	95	303	22	8	303	91	-4	+2	-1	+5	+9	1.1
2032	29	MLB MLE	PIT	53%	417	371	89	15	1	6	35	91	8	12	1	240	319	334	653	94	302	22	8	301	90	-5	+2	-1	+4	+9	0.9
2033	30	MLB MLE	PIT	52%	413	367	88	15	1	6	35	91	8	11	1	240	320	335	655	95	301	22	8	299	88	-6	+2	-2	+4	+9	0.8
2034	31	MLB MLE	PIT	52%	400	356	84	14	1	5	34	89	7	9	1	236	315	323	638	87	300	22	8	295	86	-7	+1	-3	+4	+9	0.5
2035	32	MLB MLE	PIT	52%	382	340	79	13	1	5	32	87	7	7	1	232	311	321	632	88	297	23	8	290	82	-8	+1	-4	+4	+8	0.2
2036	33	MLB MLE	PIT	52%	353	314	71	11	1	4	30	82	6	5	1	226	306	306	611	80	294	23	8	284	78	-9	+1	-4	+4	+8	-0.1
2027	24	MLB CTX	PIT	31%	95	85	20	3	0	1	8	20	2	3	0	235	316	306	622	71	302	21	8	277	86	-2	+1	+0	+1	+2	0.2
2028	25	MLB CTX	PIT	45%	164	147	36	6	1	2	13	35	3	5	1	245	319	340	659	95	302	21	8	283	89	-2	+1	+0	+2	+4	0.4
2029	26	MLB CTX	PIT	51%	206	183	45	8	1	3	17	44	4	7	1	246	324	350	673	104	301	21	8	286	91	-2	+1	+0	+2	+4	0.6
2030	27	MLB CTX	PIT	53%	219	195	47	8	1	3	18	47	4	7	1	241	318	338	656	97	301	21	8	286	92	-2	+1	+0	+2	+5	0.6
2031	28	MLB CTX	PIT	53%	226	201	48	8	1	3	19	49	4	7	1	239	317	333	650	95	301	22	8	286	91	-2	+1	-0	+2	+5	0.6
2032	29	MLB CTX	PIT	53%	219	195	47	8	1	3	18	48	4	6	1	241	318	338	656	97	300	22	8	284	90	-3	+1	-1	+2	+5	0.5
2033	30	MLB CTX	PIT	52%	215	191	46	8	1	3	18	47	4	6	1	241	319	340	660	99	299	22	8	282	88	-3	+1	-1	+2	+5	0.4
2034	31	MLB CTX	PIT	52%	207	184	44	7	1	3	17	46	4	5	0	239	317	337	654	98	298	22	8	278	86	-4	+1	-1	+2	+4	0.3
2035	32	MLB CTX	PIT	52%	197	174	41	7	1	2	17	45	4	4	0	236	318	322	640	86	295	23	9	273	82	-4	+1	-2	+2	+4	0.1
2036	33	MLB CTX	PIT	52%	182	162	37	6	1	2	15	42	3	3	0	228	306	315	620	86	292	23	8	268	78	-5	+1	-2	+2	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1930	1717	411	69	9	25	160	423	36	53	6	239	317	334	651	94	302	22	8	281	87	-28	+8	-8	+21	+42	3.6
/ 162G	—	A+C		—	650	578	138	23	3	8	54	142	12	18	2	239	317	330	647	92	302	22	8	281	87	-10	+3	-3	+7	+14	1.2
Career	—	MLE		—	3932	3500	833	141	12	52	326	858	75	107	10	238	316	330	646	92	299	22	8	297	87	-57	+17	-15	+42	+84	7.3
/ 162G	—	MLE		—	650	579	138	23	2	9	54	142	12	18	2	238	316	332	648	93	299	22	8	297	87	-10	+3	-2	+7	+14	1.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#4Rubén Tejadalast yr '17 career totals — 8 seasons, 2,387 PA	3.6	2,387	10	16	251	325	318	+21	+22	6.5	6.7
/162	664	3	4	+5.7	+6.1	1.8	pk7: 7
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#6Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.9	1,934	27	53	241	316	336	+21	+15	5.3	4.9
/162	664	9	18	+7.1	+5.2	1.8	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
Matt King (OGILVIE)	23	58→63	28→33	62→67	55	237/316/306	69	305	1	5	21%	8%	82	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kelby Tomlinson 2012 · A	22	49→59	40	56→60	44	236/285/341	105	298	6	13	22%	6%	76	-0.4	219/275/277	58	298	2	21	25%	7%	57	-1.8	279/337/345	67	339	3	24	17%	7%	93	+0.6
✕Myles Straw 2018 · AA	23	57→58	35→40	55→60	50	260/325/326	65	341	2	21	23%	9%	87	+0.4	256/320/316	60	334	2	36	21%	9%	84	+0.1	266/338/328	62	339	2	39	20%	9%	91	+0.6
✕Osleivis Basabe 2023 · AA	22	57→62	40→45	56→50	46	270/315/373	103	320	5	17	17%	6%	95	+0.9	244/289/348	104	297	7	13	20%	5%	80	-0.2	230/276/336	106	279	9	11	21%	5%	70	-0.6
✕Ali Castillo 2012 · A	23	51→61	38→40	54→55	51	239/297/334	95	271	3	13	13%	7%	79	-0.2	235/286/313	78	280	5	13	17%	6%	71	-0.8	251/285/334	83	285	4	7	13%	4%	72	-0.5
✕Mauricio Dubón 2017 · AA	23	55→59	39→50	56→55	45	262/302/353	91	309	5	20	17%	5%	85	+0.2	246/283/352	106	290	9	22	18%	5%	78	-0.3	256/302/388	132	291	16	11	18%	5%	91	+0.5
✕Iván De Jesús Jr. 2010 · AA	23	58→65	39→40	51→50	52	275/339/363	88	330	6	12	18%	8%	101	+1.4	243/287/325	82	304	6	7	21%	5%	74	-0.6	263/320/354	91	340	5	4	23%	6%	89	+0.3
✕Corey Toups 2016 · A	23	49→50	41→45	56→50	46	235/295/344	109	306	7	17	25%	7%	81	-0.1	216/276/329	113	308	9	16	31%	6%	71	-0.8	204/268/315	111	299	9	16	33%	6%	62	-1.0
✕Nick Van Stratten 2008 · A	23	49→59	41→40	58→55	50	234/296/339	105	259	6	12	13%	6%	80	-0.1	257/310/355	98	305	4	12	16%	6%	89	+0.5	308/344/391	82	345	3	23	11%	4%	106	+0.8
✕Tony Renda 2014 · A	23	51→59	38→40	53→50	50	240/299/332	91	280	4	15	15%	7%	80	-0.2	253/303/330	77	295	3	16	14%	6%	80	-0.1	261/309/334	73	300	2	17	13%	5%	80	-0.1
✕Evan Frey 2009 · A	23	55→58	37→40	56→55	50	259/319/341	81	318	3	19	19%	8%	88	+0.5	248/307/317	69	308	2	22	18%	7%	79	-0.2	243/306/306	62	304	1	24	19%	7%	74	-0.5
✕Marc Maddox 2007 · A	23	52→56	40	54→50	49	245/307/351	107	294	5	7	18%	7%	87	+0.4	234/289/312	78	287	4	10	19%	6%	72	-0.7	224/288/298	74	270	4	10	17%	7%	66	-0.8
✕Jack Blomgren 2022 · A	23	53	38→40	58→60	46	238/323/324	86	348	4	26	30%	8%	88	+0.4	228/306/333	105	339	9	21	32%	8%	84	+0.1	185/266/286	101	252	7	30	28%	8%	57	-0.4
✕Austin Wates 2012 · A	23	51→59	39→40	54→55	44	245/295/332	87	303	6	16	21%	6%	78	-0.3	256/311/345	89	320	5	24	20%	6%	87	+0.4	267/324/350	84	333	4	33	20%	6%	90	+0.3
✕Michael Reed 2016 · AAA	23	49→59	40→45	56→55	50	227/309/333	106	314	5	21	27%	10%	84	+0.2	214/298/313	99	316	8	17	32%	10%	76	-0.4	215/303/310	95	321	10	16	33%	10%	76	-0.3
✕Brendan Ryan 2006 · AA	24	54→61	39→40	54→55	48	254/300/350	96	291	5	14	15%	6%	84	+0.1	245/292/330	85	283	6	17	15%	6%	76	-0.4	259/310/346	87	299	5	20	14%	6%	83	+0.1
✕Marty Costes 2019 · A	23	46→56	42→45	53→50	46	223/303/335	113	272	8	11	20%	6%	84	+0.1	234/311/344	110	286	9	10	21%	8%	88	+0.4	247/334/354	107	319	8	16	23%	8%	96	+0.5
✕Logan Watkins 2013 · AA	23	51→53	40	57→55	48	241/307/340	99	311	6	17	23%	8%	84	+0.2	218/275/312	94	291	7	18	26%	7%	67	-1.1	222/279/293	70	285	3	17	22%	6%	61	-0.7
✕Danny Worth 2009 · AA	23	48→53	41→45	57→50	45	228/284/336	108	291	7	12	24%	7%	76	-0.4	219/268/303	84	291	5	13	25%	6%	61	-1.5	223/291/322	99	325	7	9	31%	8%	72	-0.4
✕Kyle Mottice 2019 · A	23	50	35→30	58→55	54	229/334/291	63	272	2	18	15%	9%	86	+0.3	232/327/292	60	284	2	18	17%	8%	83	+0.1	241/335/285	43	296	0	25	16%	7%	81	-0.0
●Fernando Perez 2007 · A	24	54→62	38→45	56→60	47	253/314/335	82	336	4	23	24%	8%	86	+0.3	257/322/360	103	367	6	29	29%	8%	94	+0.9	245/306/342	98	347	6	33	29%	8%	81	-0.1

Career Stats + Projections

Career Comps

Career Path Comps