Nate George — OGILVIE

Nate GeorgeOF Frederick Keys

Age 20 R/R 6'0" / 200 lbs A+ HR +9% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION94 act + 13 ros · stats below = ROS only

showingROS

wRC+†78

AVG/OBP/SLG.167 / .231 / .167

PA13

HR0

K%23

BB%8

BABIP304

ISO106

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 52 / POW 44

Toolsscout grade

CONTACT52

scouting grade only

POWER44

scouting grade only

EYE50

scouting grade only

SPEED67

scouting grade only

DEFENSE60

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Arb-1	$3M	+0.6	$1M	+$0.0M (cut)
2034	Arb-2	$5M	+0.5	$1M	+$0.0M (cut)
2035	Arb-3	$5M	+0.4	$0.8M	+$0.0M (cut)
Totals		$3M		$8M	+$3M

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	19	A+	Aberdeen IronBirds	—	92	79	23	5	0	1	11	19	1	12	6	291	385	392	777	101	367	21	12	351	124	+3	+0	—	—	+2	0.5
2025	19	A	Delmarva Shorebirds	—	186	163	55	8	7	1	18	29	2	25	13	337	410	491	901	153	406	16	10	392	152	+11	-0	—	—	+4	1.6
2025	19	ROK	FCL Orioles	—	92	81	31	1	2	3	9	14	1	13	6	383	451	556	1.006	173	438	15	10	439	183	+9	+0	—	—	+2	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	A+ MLE	Aberdeen IronBirds	—	92	82	21	4	0	1	8	25	1	12	6	256	330	341	671	85	340	27	9	288	81	-2	+0	—	—	+2	-0.0
2025	19	A MLE	Delmarva Shorebirds	—	186	170	49	7	6	1	11	41	2	25	13	288	339	418	756	129	365	22	6	320	103	+1	-0	—	—	+4	0.5
2025	19	ROK MLE	FCL Orioles	—	92	85	25	1	1	2	5	21	1	13	6	294	341	400	741	106	359	23	5	325	106	+1	+0	—	—	+2	0.3
2025	19	A MLE	3 teams	—	370	336	94	12	7	4	25	87	4	50	25	280	337	393	730	113	366	24	7	313	98	—	—	—	—	—	—
2025	19	A RAW	3 teams	—	370	323	109	14	9	5	38	62	4	50	25	337	414	483	897	146	405	17	10	394	98	—	—	—	—	—	—
2025	19	A MLE	3 teams	—	370	338	94	12	7	4	25	87	4	50	25	278	337	391	728	112	357	24	7	313	98	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	19	A MLE	3 teams	—	370	338	94	12	7	4	25	87	4	50	25	278	337	391	728	112	357	24	7	313	98	—	—	—	—	—	—
YTD	20	A+ MLE	BAL	—	94	85	21	2	0	1	7	24	1	15	2	247	312	306	618	59	328	26	7	277	74	-3	+2	+0	-1	+2	0.1
▸ 2026 season
YTD	20	A+ RAW	BAL	—	94	82	24	3	0	1	10	18	1	15	2	293	376	366	742	73	359	19	11	338	74	—	—	—	—	—	—
ROS	20	A+ MLE	BAL	0%	13	12	2	0	0	0	1	3	0	1	0	167	231	167	397		300	23	8	284	78	-0	+0	+0	-0	+0	0.0
TOT	20	A+ MLE	BAL	—	107	97	23	2	0	1	8	27	1	16	2	237	302	289	591	52	314	25	7	278	74	-3	+2	+0	-1	+2	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	BAL	35%	429	391	94	16	3	7	31	99	4	17	5	240	303	350	653	110	302	23	7	296	86	-7	+1	+1	-3	+9	0.2
2028	22	MLB MLE	BAL	49%	490	446	109	19	3	10	36	111	5	17	5	244	308	368	676	123	302	23	7	303	91	-5	+1	+1	-3	+11	0.5
2029	23	MLB MLE	BAL	54%	529	479	117	20	3	11	40	118	5	17	5	244	309	367	677	123	302	22	8	308	94	-4	+1	+1	-3	+11	0.7
2030	24	MLB MLE	BAL	55%	571	516	129	22	4	13	44	127	6	18	5	250	316	384	700	134	303	22	8	311	96	-3	+2	+1	-3	+12	0.9
2031	25	MLB MLE	BAL	56%	594	537	134	23	4	14	46	131	6	18	5	250	316	385	701	136	303	22	8	312	97	-2	+2	+1	-4	+13	1.0
2032	26	MLB MLE	BAL	56%	602	544	135	23	4	14	47	133	6	18	5	248	315	382	697	134	303	22	8	312	98	-2	+2	+1	-4	+13	1.1
2033	27	MLB MLE	BAL	55%	602	544	135	23	4	14	47	133	6	18	5	248	315	382	697	134	303	22	8	312	98	-2	+2	+1	-4	+13	1.1
2034	28	MLB MLE	BAL	55%	598	539	134	23	4	14	48	133	6	17	5	249	317	384	701	135	302	22	8	311	97	-2	+1	+1	-4	+13	0.9
2035	29	MLB MLE	BAL	53%	588	530	130	22	4	13	47	132	6	16	5	245	314	375	689	130	301	22	8	309	96	-3	+1	-0	-4	+13	0.7
2036	30	MLB MLE	BAL	53%	577	520	127	22	3	13	46	131	6	15	4	244	313	373	686	129	300	23	8	307	94	-4	+1	-1	-3	+13	0.5
2037	31	MLB MLE	BAL	52%	563	507	123	21	3	12	45	130	6	14	4	243	312	367	679	124	298	23	8	303	91	-6	+1	-2	-3	+12	0.2
2038	32	MLB MLE	BAL	52%	545	492	116	19	3	11	43	128	5	13	4	236	304	354	657	118	295	23	8	297	87	-8	+1	-2	-3	+12	-0.1
2027	21	MLB CTX	BAL	35%	148	135	34	6	1	3	11	34	1	6	2	252	313	378	691	126	306	23	7	293	86	-2	+0	+0	-1	+3	0.1
2028	22	MLB CTX	BAL	49%	238	216	54	9	2	5	18	54	2	8	2	250	314	380	693	130	307	23	8	300	91	-2	+1	+0	-1	+5	0.3
2029	23	MLB CTX	BAL	54%	287	260	65	11	2	6	22	64	3	9	3	250	316	377	693	127	307	22	8	305	94	-2	+1	+1	-2	+6	0.4
2030	24	MLB CTX	BAL	55%	317	287	72	13	2	7	24	70	3	10	3	251	315	383	699	132	307	22	8	308	96	-1	+1	+1	-2	+7	0.5
2031	25	MLB CTX	BAL	56%	333	300	76	13	2	8	26	74	4	10	3	253	321	390	711	137	307	22	8	309	97	-1	+1	+1	-2	+7	0.6
2032	26	MLB CTX	BAL	56%	339	306	78	14	2	8	26	75	4	10	3	255	321	392	714	137	307	22	8	310	98	-1	+1	+1	-2	+7	0.6
2033	27	MLB CTX	BAL	55%	333	300	76	13	2	8	26	74	4	10	3	253	321	390	711	137	307	22	8	310	98	-1	+1	+1	-2	+7	0.6
2034	28	MLB CTX	BAL	55%	328	296	75	13	2	8	26	73	3	9	3	253	320	392	712	139	307	22	8	309	97	-1	+1	+0	-2	+7	0.5
2035	29	MLB CTX	BAL	53%	314	283	70	12	2	7	25	71	3	9	2	247	315	378	693	131	306	23	8	307	96	-2	+1	-0	-2	+7	0.4
2036	30	MLB CTX	BAL	53%	304	274	69	12	2	7	24	69	3	8	2	252	319	387	706	135	305	23	8	304	94	-2	+1	-0	-2	+7	0.3
2037	31	MLB CTX	BAL	52%	294	265	65	11	2	6	24	68	3	7	2	245	315	370	685	125	302	23	8	300	91	-3	+1	-1	-2	+6	0.1
2038	32	MLB CTX	BAL	52%	283	255	62	10	2	6	23	66	3	7	2	243	313	369	682	125	299	23	8	294	87	-4	+1	-1	-2	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3518	3177	796	137	23	79	275	792	36	103	30	251	317	383	700	132	308	23	8	305	94	-24	+9	+2	-21	+76	4.2
/ 162G	—	A+C		—	650	587	147	25	4	15	51	146	7	19	6	250	318	383	702	133	307	22	8	305	94	-4	+2	+0	-4	+14	0.8
Career	—	MLE		—	7071	6393	1579	265	49	150	546	1596	71	249	82	247	313	374	687	127	305	23	8	307	94	-48	+17	+3	-40	+145	7.9
/ 162G	—	MLE		—	650	588	145	24	5	14	50	147	7	23	8	247	313	376	689	129	305	23	8	307	94	-5	+2	+0	-4	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Corey Pattersonlast yr '11 career totals — 10 seasons, 4,422 PA	6.7	4,422	116	215	254	292	403	-2	+56	15.8	16.6
/162	664	17	32	-0.3	+8.4	2.4	pk7: 17
#2Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
#3Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#4Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#5Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	5.3	3,517	77	104	247	310	376	-21	+24	6.1	5.4
/162	664	15	20	-4.0	+4.6	1.1	pk7: 5
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	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
Nate George (OGILVIE)	20	40→52	35→44	68→67	50	233/294/330	97	300	4	18	24%	7%	78	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Masyn Winn 2023 · AA	21	46→54	43→50	61→55	45	223/282/346	122	298	9	28	27%	7%	77	-0.3	240/293/371	131	287	13	16	20%	7%	87	+0.4	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Victor Robles 2017 · A	20	51→52	42→50	57→60	42	244/314/356	112	302	8	24	21%	5%	92	+0.7	243/310/375	132	303	10	24	22%	5%	95	+0.9	246/315/392	146	305	12	27	22%	6%	97	+0.9
●Desmond Jennings 2007 · A	20	46→56	40→50	56→60	44	220/278/308	88	281	7	24	24%	6%	67	-1.1	254/316/370	116	301	9	29	18%	7%	95	+0.9	243/323/397	154	290	15	28	21%	9%	102	+1.5
✕Forrest Wall 2016 · A	20	47→55	42→45	57→70	46	225/280/336	111	286	8	18	24%	7%	74	-0.6	219/272/313	94	293	8	18	26%	6%	65	-1.2	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕Ceddanne Rafaela 2022 · A	21	42→52	46→55	59→55	39	213/256/347	134	267	12	15	26%	4%	68	-1.0	239/275/393	154	305	16	22	27%	4%	85	+0.2	253/291/409	156	303	17	19	22%	4%	93	+0.8
✕Randy Romero 2021 · A	21	50	37→40	60	46	236/278/312	77	269	3	22	14%	5%	67	-1.1	202/245/267	65	275	3	17	26%	5%	45	-2.7	178/216/225	47	246	1	22	27%	4%	22	-1.1
●Esteury Ruiz 2019 · A	20	43→53	42→50	59→70	35	205/253/317	112	311	9	26	36%	5%	59	-1.6	202/253/311	109	300	10	30	34%	5%	59	-1.7	264/338/395	131	327	12	74	22%	6%	107	+1.2
✕Che-Hsuan Lin 2009 · A	20	44→54	40	58→55	45	211/271/310	100	266	7	21	23%	6%	65	-1.2	231/297/306	75	279	5	20	18%	8%	74	-0.6	234/305/295	62	278	3	22	16%	8%	71	-0.7
✕Gorkys Hernández 2008 · A	20	53→57	39→45	58→55	43	253/288/340	88	302	6	27	18%	4%	77	-0.3	245/289/326	81	324	4	18	24%	5%	74	-0.6	256/315/372	117	316	11	16	22%	7%	91	+0.5
✕Jorge Mateo 2015 · A	20	43→48	41→50	60→65	44	207/270/305	98	282	7	30	28%	7%	63	-1.4	210/256/311	101	298	6	37	30%	5%	59	-1.7	213/255/343	130	274	13	52	27%	5%	65	-0.4
●Maikel Garcia 2022 · A	22	50→58	39→50	58→60	50	236/300/327	91	298	5	22	21%	8%	79	-0.2	247/302/345	98	313	7	27	22%	7%	84	+0.1	261/321/393	132	295	10	24	15%	8%	100	+1.2
✕Adrian Pinto 2023 · A	20	49	41→45	59→65	52	232/323/340	107	283	6	29	19%	9%	92	+0.7	232/310/353	121	294	11	18	23%	8%	90	+0.6	226/310/337	111	288	7	11	22%	9%	81	-0.0
✕Ryan Brett 2013 · A	21	50→57	39→45	59→60	44	240/285/332	92	295	6	27	20%	6%	74	-0.5	248/288/354	106	301	8	23	20%	5%	80	-0.1	249/285/355	106	299	8	21	19%	4%	77	-0.2
✕Manuel Margot 2015 · A	20	48→52	44→50	56→60	47	236/285/359	123	266	11	25	16%	6%	81	-0.1	242/282/357	115	280	8	26	16%	5%	79	-0.2	245/302/387	142	288	13	20	19%	7%	91	+0.5
✕Tyler Austin 2012 · A	20	49→56	44→60	57→45	40	238/286/359	120	317	10	17	28%	5%	81	-0.1	245/298/379	134	329	11	11	27%	6%	91	+0.6	229/290/423	195	307	24	3	33%	7%	96	+0.7
●Edward Olivares 2016 · A	20	43→53	40→55	55	43	203/292/296	93	267	6	17	25%	6%	71	-0.8	214/269/338	124	276	11	13	26%	5%	71	-0.8	262/319/433	171	298	19	16	19%	6%	108	+1.2
✕Tyler Goeddel 2014 · A	21	43→51	40→45	59→55	40	207/258/309	101	292	7	20	30%	6%	59	-1.7	225/281/337	112	302	8	18	27%	6%	74	-0.5	227/288/340	113	297	9	18	25%	7%	75	-0.3
✕Rudy Martin Jr. 2016 · A	20	49	39→45	60→65	52	227/313/330	103	311	4	16	26%	10%	85	+0.2	205/272/294	89	330	6	26	36%	7%	61	-1.5	229/304/333	104	308	11	52	28%	9%	79	-0.1
✕Akil Baddoo 2019 · A	20	42→52	43→50	56→55	47	203/279/323	120	288	8	13	30%	9%	71	-0.8	213/282/343	130	314	11	16	33%	9%	76	-0.4	236/319/383	147	308	15	24	26%	11%	96	+0.7
✕Osleivis Basabe 2022 · A	21	51→61	38→45	56→50	44	244/287/329	85	299	5	15	20%	6%	74	-0.5	259/304/360	101	314	5	15	18%	5%	88	+0.4	261/307/362	101	315	5	15	18%	5%	86	+0.2

Career Stats + Projections

Career Comps

Career Path Comps