Nate George

OF Frederick Keys

Age 21 R/R 6'0" / 200 lbs A+ HR +9% Svc 0.0 · Ctrl thru 2035

Overview

A+PROSPECTMiLBFA 2036

OGV OFP35OGV rank#1600ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	19	A+/A/ROK2 orgs	370	.337/.414/.483	5	50	106	—	.290/.348/.409
2026	20	A+BAL	94	.293/.376/.366	1	15	74	—	.244/.301/.302
2027PROJMLE	21	MLBBAL	314	.230/.290/.333	4	11	76	0.0
2028PROJ35% MLB	22	MLBBAL	46	.237/.299/.355	1	1	82	-0.0
2029PROJ49% MLB	23	MLBBAL	104	.240/.303/.366	2	3	86	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$1M2034Arb-2$2M+1

Skills · percentileMiLB Statcast 2026 A+

Speed83

K%77

Z-Con%54

Whiff%50

wOBA49

wRC+49

Career WAR0.0 WAR median (P10 -0.2 / P90 6.3, comp-based) · star 6% · didn't stick 83%

CompsDarin Mastroianni (age 23) · Francisco Peguero (age 21) · Lane Adams (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 94 proj PA

wRC+†76

AVG/OBP/SLG.228 / .288 / .331

PA94

HR1

K%24

BB%7

ISO104

MLB%0%

Value2027 · WAR

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

Contract

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
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	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Arb-1	$1M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-3	$1.0M	—	—	—
Totals		$2M		$2M	+$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)
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	82	—	—	—	—	—	—
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	117	—	—	—	—	—	—
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	107	—	—	—	—	—	—
2026	20	A+	Frederick Keys	—	94	82	24	3	0	1	10	18	1	15	2	293	376	366	742	73	359	19	11	338	74	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	A+ MLE	Aberdeen IronBirds	—	92	83	21	4	0	1	7	25	1	12	6	253	319	337	656	84	338	27	8	290	82	—	—	—	—	—	—
2025	19	A MLE	Delmarva Shorebirds	—	186	168	51	7	7	1	13	40	2	25	13	304	361	446	807	143	382	22	7	341	117	—	—	—	—	—	—
2025	19	ROK MLE	FCL Orioles	—	92	84	25	1	1	2	6	21	1	13	6	298	352	405	756	107	362	23	7	327	107	—	—	—	—	—	—
2026	20	A+ MLE	Frederick Keys	—	94	86	21	2	0	1	6	24	1	15	2	244	301	302	603	58	326	26	6	277	74	—	—	—	—	—	—
2025	19	A MLE	3 teams	—	370	335	96	12	8	4	26	85	4	50	25	287	345	406	751	119	372	23	7	325	106	—	—	—	—	—	—
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	106	—	—	—	—	—	—
2026	20	A+ MLE	Frederick Keys	—	94	86	21	2	0	1	6	24	1	15	2	244	301	302	603	58	323	26	6	277	74	—	—	—	—	—	—
2026	20	A+ RAW	Frederick Keys	—	94	82	24	3	0	1	10	18	1	15	2	293	376	366	742	73	359	19	11	338	74	—	—	—	—	—	—
2025	19	A MLE	3 teams	—	370	337	96	12	8	4	26	85	4	50	25	285	345	404	749	119	366	23	7	325	106	—	—	—	—	—	—
2026	20	A+ MLE	Frederick Keys	—	94	87	21	2	0	1	6	24	1	15	2	241	301	299	600	57	326	26	6	277	74	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	19	A MLE	3 teams	—	370	337	96	12	8	4	26	85	4	50	25	285	345	404	749	119	366	23	7	325	106	—	—	—	—	—	—
2026	20	A+ MLE	Frederick Keys	—	94	87	21	2	0	1	6	24	1	15	2	241	301	299	600	57	326	26	6	277	74	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	BAL	0%	314	287	65	12	2	4	21	74	3	11	3	230	290	333	624	104	291	24	7	281	76	-9	+1	+0	-2	+7	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	BAL	35%	133	122	28	5	1	2	9	31	1	4	1	234	296	348	643	114	292	23	7	289	82	-3	+0	+0	-1	+3	-0.0
2029	23	MLB MLE	BAL	49%	215	196	46	8	2	4	15	49	2	7	2	237	299	358	658	121	293	23	7	295	86	-4	+1	+0	-1	+5	0.1
2030	24	MLB MLE	BAL	53%	301	273	65	12	2	6	22	68	3	9	3	239	302	365	668	126	294	23	7	299	88	-4	+1	+1	-2	+7	0.2
2031	25	MLB MLE	BAL	55%	358	325	78	14	2	8	26	81	4	11	3	240	304	369	673	130	294	23	7	301	90	-4	+1	+1	-2	+8	0.4
2032	26	MLB MLE	BAL	56%	391	355	86	16	3	9	29	89	4	11	4	240	305	371	676	131	293	23	7	302	91	-4	+1	+1	-2	+8	0.4
2033	27	MLB MLE	BAL	55%	406	369	88	16	3	9	30	93	4	12	4	239	304	368	672	130	293	23	7	301	90	-5	+1	+1	-2	+9	0.4
2034	28	MLB MLE	BAL	55%	409	371	89	16	3	9	31	94	4	11	4	237	302	364	665	127	292	23	8	298	88	-6	+1	+1	-2	+9	0.2
2035	29	MLB MLE	BAL	53%	403	366	87	16	3	8	30	94	4	10	4	234	299	357	656	123	290	23	7	294	85	-7	+0	+0	-2	+9	-0.0
2028	22	MLB CTX	BAL	35%	46	43	10	2	0	1	3	11	0	1	0	237	299	355	654	118	296	24	7	293	82	-1	+0	+0	-0	+1	-0.0
2029	23	MLB CTX	BAL	49%	104	95	23	4	1	2	7	24	1	3	1	240	303	366	669	125	297	23	7	299	86	-2	+0	+0	-1	+2	0.0
2030	24	MLB CTX	BAL	53%	159	144	34	6	1	3	12	36	2	5	1	243	306	373	679	131	298	23	8	303	88	-2	+1	+0	-1	+3	0.1
2031	25	MLB CTX	BAL	55%	196	178	43	8	1	4	14	44	2	6	2	244	307	378	685	134	298	22	7	306	90	-2	+0	+1	-1	+4	0.2
2032	26	MLB CTX	BAL	56%	218	198	48	9	1	5	16	49	2	6	2	244	308	380	688	136	298	22	7	307	91	-2	+0	+1	-1	+5	0.2
2033	27	MLB CTX	BAL	55%	223	202	49	9	1	5	17	51	2	6	2	243	307	377	684	134	297	23	8	305	90	-3	+0	+1	-1	+5	0.2
2034	28	MLB CTX	BAL	55%	224	203	49	9	1	5	17	52	2	6	2	241	305	372	677	131	296	23	8	302	88	-3	+0	+0	-1	+5	0.1
2035	29	MLB CTX	BAL	53%	215	195	47	9	1	5	16	50	2	5	2	238	302	365	667	127	295	23	7	299	85	-4	+0	+0	-1	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1385	1258	303	56	7	30	102	317	13	38	12	241	304	368	672	127	297	23	7	303	89	-20	+3	+3	-8	+30	0.8
/ 162G	—	A+C		—	650	590	142	26	3	14	48	149	6	18	6	241	304	366	670	125	298	23	7	303	89	-9	+1	+2	-4	+14	0.4
Career	—	MLE		—	3174	2885	704	121	28	61	230	730	32	143	53	244	307	369	676	125	305	23	7	300	89	-40	+5	+7	-16	+59	1.4
/ 162G	—	MLE		—	650	591	144	25	6	12	47	149	7	29	11	244	307	367	674	124	305	23	7	300	89	-10	+1	+2	-4	+14	0.3

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 A+Frederick Keys · 94 PAwOBA .333 → .277 (−56)K% 19.1% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.15%	÷1.000	×1.310	—	—	25.09%
BB% (unintentional) /PA	10.64%	÷1.000	×0.600	—	×1.042	6.65%
HBP% /PA	1.06%	—	×0.770	—	×1.042	0.85%
Singles /BIP	31.25%	÷1.000	×0.870	×1.015	×1.042	28.75%
Doubles /BIP	4.69%	÷1.000	×0.780	×1.015	×1.042	3.87%
Triples /BIP	0.00%	÷1.000	×0.850	×1.015	×1.042	0.00%
Home runs /BIP	1.56%	÷1.000	×0.880	—	×1.042	1.43%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .333 → .277; ISO .073 → .063; BABIP .359 → .326. 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).

2025 ADelmarva Shorebirds · 186 PAwOBA .382 → .341 (−42)K% 15.6% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.59%	÷0.993	×1.360	—	—	21.35%
BB% (unintentional) /PA	9.68%	÷1.007	×0.690	—	×1.045	6.93%
HBP% /PA	1.08%	—	×0.780	—	×1.045	0.88%
Singles /BIP	29.10%	÷0.998	×0.920	×0.966	×1.045	27.08%
Doubles /BIP	5.97%	÷0.898	×0.830	×0.966	×1.045	5.57%
Triples /BIP	5.22%	÷0.904	×0.910	×0.966	×1.045	5.30%
Home runs /BIP	0.75%	÷0.899	×0.800	—	×1.045	0.69%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 100, 2B 80, 3B 81, K 99, BB 101 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .382 → .341; ISO .153 → .148; BABIP .406 → .382. 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).

2025 A+Aberdeen IronBirds · 92 PAwOBA .346 → .290 (−56)K% 20.7% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.65%	÷1.013	×1.310	—	—	26.72%
BB% (unintentional) /PA	11.96%	÷0.944	×0.600	—	×1.050	7.98%
HBP% /PA	1.09%	—	×0.770	—	×1.050	0.88%
Singles /BIP	28.33%	÷0.990	×0.870	×1.033	×1.050	27.01%
Doubles /BIP	8.33%	÷1.010	×0.780	×1.033	×1.050	6.98%
Triples /BIP	0.00%	÷1.091	×0.850	×1.033	×1.050	0.00%
Home runs /BIP	1.67%	÷1.229	×0.880	—	×1.050	1.25%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 146, 1B 98, 2B 102, 3B 118, K 103, BB 89 — applied at half strength. Age: age 19 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .346 → .290; ISO .101 → .081; BABIP .367 → .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).

2025 ROKFCL Orioles · 92 PAwOBA .427 → .327 (−100)K% 15.2% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.22%	÷0.980	×1.440	—	—	22.35%
BB% (unintentional) /PA	9.78%	÷1.020	×0.620	—	×1.008	5.99%
HBP% /PA	1.09%	—	×0.720	—	×1.008	0.79%
Singles /BIP	37.31%	÷0.997	×0.820	×1.032	×1.008	31.90%
Doubles /BIP	1.49%	÷1.033	×0.720	×1.032	×1.008	1.08%
Triples /BIP	2.99%	÷1.150	×0.720	×1.032	×1.008	1.94%
Home runs /BIP	4.48%	÷1.000	×0.780	—	×1.008	3.52%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 99, 2B 107, 3B 130, K 96, BB 104 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .427 → .327; ISO .173 → .125; BABIP .438 → .362. 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
#1Bob Bailor'75-'85 * career totals — 9 seasons, 3,206 PA	4.8	3,206	9	90	258*	309*	346*	+1	+30	4.6	5.4
/162	664	2	19	+0.2	+6.2	1.0	pk7: 6
#2Gabe Grosslast yr '10 career totals — 7 seasons, 1,682 PA	2.5	1,682	40	22	239	330	385	-14	+11	5.1	5.1
/162	664	16	9	-5.7	+4.4	2.0	pk7: 5
#3Sam Fuld'07-'15 * career totals — 6 seasons, 1,535 PA	2.3	1,535	12	67	230*	314*	336*	-10	+29	3.7	4.0
/162	664	5	29	-4.3	+12.7	1.6	pk7: 4
#4Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	pk7: 5
#5Dustan Mohr'01-'07 * career totals — 5 seasons, 1,537 PA	2.3	1,537	49	13	241*	315*	412*	-15	+20	3.8	3.8
/162	664	21	6	-6.6	+8.6	1.6	pk7: 4
#6Mike Felder'85-'94 * career totals — 10 seasons, 2,497 PA	3.8	2,497	14	161	247*	300*	340*	-18	+17	0.9	2.8
/162	664	4	43	-4.9	+4.4	0.2	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.1	1,385	29	40	239	300	366	-8	+15	1.4	1.4
/162	664	14	19	-4.0	+7.1	0.6	pk7: 1

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)	21	—	—	—	—	228/288/331	103	291	1	3	24%	7%	76	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Darin Mastroianni 2009 · A	23	41→51	38→40	60	41	200/252/275	76	276	5	22	29%	6%	49	-2.4	251/316/325	74	320	3	35	21%	8%	84	+0.2	261/328/336	76	325	2	38	19%	9%	88	+0.4
●Francisco Peguero 2009 · A	21	44→54	37→50	57→55	39	212/250/284	72	277	4	19	25%	4%	50	-2.3	269/292/368	99	342	6	20	22%	3%	84	+0.2	276/316/422	146	324	18	7	20%	4%	105	+1.3
✕Lane Adams 2011 · A	21	43→45	37→50	57→60	40	204/256/278	73	298	4	14	31%	6%	51	-2.3	212/261/312	100	298	8	14	30%	6%	61	-1.5	224/277/350	126	304	14	36	30%	6%	73	-0.5
✕Jon Matthews 2014 · A	23	41	37→40	58→60	41	196/260/272	76	275	5	25	29%	6%	52	-2.2	227/293/293	66	309	3	16	25%	7%	69	-0.9	237/306/288	52	320	2	16	24%	8%	70	-0.4
✕Jeffrey Baez 2014 · A	20	43→46	38→50	58→60	40	204/257/283	78	279	5	27	28%	5%	53	-2.1	208/250/311	103	289	9	22	30%	5%	57	-1.8	195/248/328	132	258	16	15	30%	6%	59	-0.9
✕Dalton Kelly 2016 · A	21	43→53	36→45	58→50	44	189/277/263	74	328	2	14	39%	10%	57	-1.8	237/307/343	106	333	6	12	28%	8%	86	+0.3	238/320/344	106	328	8	13	27%	9%	88	+0.4
✕Eudy Pina 2011 · A	20	39→47	37→45	55	41	189/257/262	73	254	4	22	26%	6%	49	-2.4	185/243/272	87	270	6	12	32%	5%	46	-2.6	217/270/333	115	305	8	11	30%	5%	67	-0.8
✕Greg Golson 2007 · A	21	41→51	42→45	53→55	33	200/236/304	104	301	8	17	36%	4%	50	-2.3	222/255/330	108	337	10	19	35%	4%	63	-1.4	253/306/339	86	357	4	31	29%	5%	79	-0.1
●Leandro Castro 2009 · A	20	42→52	39→50	51→50	42	206/249/289	84	250	7	16	21%	5%	51	-2.2	212/249/318	106	264	9	13	23%	4%	57	-1.8	244/286/388	144	268	16	11	16%	5%	85	+0.2
✕Manuel Hilario 2014 · A	22	40	38→40	56→55	49	191/271/276	85	240	4	18	21%	8%	57	-1.8	201/255/276	75	276	5	10	27%	6%	51	-2.3	163/211/203	40	218	4	10	26%	4%	15	-0.9
✕Rico Noel 2012 · A	23	43→53	37→30	62→65	44	202/270/275	73	263	4	31	24%	6%	57	-1.8	228/291/280	52	329	2	44	29%	7%	65	-1.2	228/293/276	47	319	1	49	26%	7%	62	-0.9
✕Joe Mahoney 2010 · A	23	44→54	41→50	56→50	36	214/250/317	103	299	8	13	31%	4%	58	-1.7	246/284/379	133	320	13	10	26%	4%	85	+0.2	255/293/393	138	321	13	8	24%	4%	91	+0.5
✕Francisco Lugo 2014 · AAA	22	44→54	41→30	53→45	40	214/240/313	99	255	8	11	20%	3%	53	-2.1	236/266/310	74	283	5	10	18%	4%	61	-1.5	287/316/348	62	336	5	9	16%	3%	85	+0.2
✕Romy Gonzalez 2019 · A	22	38→44	46→50	53→55	33	191/240/322	131	304	14	10	41%	5%	56	-1.9	200/255/314	114	307	11	12	36%	6%	60	-1.6	270/316/424	155	341	15	16	25%	5%	108	+0.9
✕Granden Goetzman 2013 · A	20	42→45	38→45	53→55	43	200/253/283	82	267	5	16	26%	6%	51	-2.2	202/243/294	92	284	7	12	30%	4%	50	-2.3	212/242/319	107	281	7	25	27%	4%	52	-0.9
✕Shard Munroe 2017 · A	21	39	36→40	58→50	51	184/262/257	74	236	3	16	22%	9%	49	-2.4	195/264/288	93	277	8	13	30%	8%	57	-1.8	173/247/267	94	252	9	14	33%	8%	45	-0.9
✕Albertson Asigen 2022 · A	20	41	38→40	53→55	45	197/253/283	86	255	5	6	24%	7%	51	-2.2	212/290/283	71	299	4	17	27%	9%	66	-1.1	209/299/294	85	336	7	27	36%	9%	69	-0.3
✕Michael A. Taylor 2013 · A	22	40→50	41→55	49→60	36	196/244/300	104	295	7	15	35%	5%	52	-2.2	220/274/347	127	330	13	25	35%	6%	74	-0.5	240/297/382	142	309	19	14	28%	7%	92	+0.6
✕Daz Cameron 2016 · A	19	45→48	35→50	53→55	41	204/269/262	58	312	2	21	33%	7%	53	-2.1	201/263/303	102	309	7	18	35%	7%	60	-1.6	227/297/394	166	289	18	26	27%	8%	92	+0.3
✕Miguel Bleis 2024 · A	20	40→32	41→45	55	36	194/241/293	99	292	7	19	35%	5%	49	-2.4	188/242/299	111	259	13	24	31%	6%	51	-2.2	180/234/292	112	238	14	25	30%	5%	44	-1.9

Nate George

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps