Kendall George — OGILVIE

Kendall GeorgeOF Tulsa Drillers

Age 21 L/L 5'9" / 170 lbs AA HR -6% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION244 act + 162 ros · stats below = ROS only

wRC+†89

AVG/OBP/SLG.249 / .328 / .290

PA162

HR0

SB16

K%23

BB%10

BABIP331

ISO41

MLB%2%

Value2026 · WAR

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

Tools · ContractCON 51 / POW 31

Toolsscout grade

CONTACT51

scouting grade only

POWER31

scouting grade only

EYE55

scouting grade only

SPEED76

scouting grade only

DEFENSE56

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	+1.0	$7M	+$7M
2028	Pre-Arb	$0.8M	+1.6	$11M	+$10M
2029	Pre-Arb	$0.8M	+2.0	$13M	+$12M
2030	Arb-1	$5M	+2.2	$13M	+$10M
2031	Arb-2	$8M	+2.4	$13M	+$8M
2032	Arb-3	$12M	+2.3	$12M	+$5M
Totals		$27M		$69M	+$53M

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.

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	18	ROK	2 teams	—	121	106	34	4	0	0	11	28	1	17	6	321	390	358	748	38	425	23	9	330	111	—	—	—	—	—	—
2023	18	ROK	2 teams	—	121	100	37	5	0	0	17	20	1	17	6	370	466	420	886	50	451	17	14	396	162	—	—	—	—	—	—
2024	19	A	Rancho Cucamonga Quakes	—	404	352	69	5	3	1	46	120	3	36	12	196	294	236	530	40	291	30	11	245	46	—	—	—	—	—	—
2024	19	A	Rancho Cucamonga Quakes	—	404	341	95	6	4	1	57	83	3	36	12	279	387	328	715	50	362	21	14	332	112	—	—	—	—	—	—
2025	20	A+	Great Lakes Loons	—	514	451	118	9	5	3	57	109	1	100	24	262	346	324	670	62	335	21	11	299	87	—	—	—	—	—	—
2025	20	A+	Great Lakes Loons	—	514	424	125	9	7	3	84	78	1	100	24	295	413	370	783	75	352	15	16	359	133	—	—	—	—	—	—
▸ 2026 Season (ACT · ROS-MLE · ROS-CTX · FULL)
YTD	21	AA	LAD	—	244	219	68	9	2	0	22	57	2	32	4	311	379	370	748	59	420	23	9	330	111	+3	+5	+0	-1	+7	1.3
YTD	21	AA	LAD	—	244	210	71	10	2	0	31	44	2	32	4	338	428	405	833	67	428	18	13	379	148	+13	+5	+0	-1	+7	2.4
ROS	21	AA	LAD	2%	162	144	36	4	1	0	16	37	1	16	3	249	328	290	618	41	342	23	10	302	89	-2	+2	-0	-1	+5	0.3
ROS	21	MLB	LAD	2%	3	3	1	0	0	0	0	1	0	0	0	333	333	333	667		338	33	0	294	84	-0	+0	-0	-0	+0	0.0
FULL	21	AA	LAD	—	247	222	69	9	2	0	22	58	2	32	4	311	378	369	747	59	421	23	9	329	110	+3	+5	-0	-1	+7	1.3
TOT	21	AA	LAD	—	406	363	104	13	3	0	38	94	3	48	7	286	358	338	697	52	384	23	9	318	102	+1	+7	-0	-2	+12	1.7
▸ 2027+ Projections WITH CONTEXT · MLB TIME ONLY ⓘPARK-NEUTRAL MLE · ALL-LEVEL PT ⓘ
2027	22	MLB	LAD	35%	561	496	128	15	4	3	56	125	4	42	8	258	338	323	661	65	334	22	10	302	89	-7	+5	-1	-3	+16	1.0
2028	23	MLB	LAD	49%	597	528	138	17	4	6	60	130	4	40	8	261	341	343	684	81	332	22	10	313	97	-2	+5	-1	-4	+17	1.6
2029	24	MLB	LAD	53%	615	544	144	18	4	9	62	132	4	38	7	265	344	362	706	97	331	21	10	320	103	+2	+5	-1	-4	+17	2.0
2030	25	MLB	LAD	55%	627	554	146	18	4	10	64	134	4	35	7	264	344	365	709	101	331	21	10	324	106	+5	+4	-1	-4	+18	2.2
2031	26	MLB	LAD	56%	634	559	149	19	4	11	65	135	5	33	6	267	348	374	722	107	331	21	10	327	108	+6	+4	-1	-4	+18	2.4
2032	27	MLB	LAD	55%	634	558	148	18	4	11	66	136	5	31	6	265	348	371	719	106	331	21	10	327	108	+6	+4	-1	-4	+18	2.3
2033	28	MLB	LAD	55%	629	554	147	18	4	11	66	136	4	28	5	265	348	372	720	106	330	22	10	326	107	+5	+4	-2	-4	+18	2.2
2034	29	MLB	LAD	53%	619	545	144	18	4	10	65	135	4	25	5	264	347	367	714	103	329	22	11	324	106	+4	+3	-2	-4	+18	1.9
2035	30	MLB	LAD	53%	609	536	141	17	4	10	64	134	4	22	4	263	346	366	712	103	328	22	11	321	104	+2	+3	-3	-4	+17	1.6
2036	31	MLB	LAD	52%	595	523	134	16	3	9	63	133	4	19	4	256	341	350	691	94	326	22	11	316	100	+0	+2	-4	-4	+17	1.2
2037	32	MLB	LAD	52%	576	507	128	15	3	8	60	131	4	16	3	252	336	341	677	89	323	23	10	311	96	-2	+2	-4	-3	+16	0.8
2038	33	MLB	LAD	52%	546	481	119	13	3	7	57	127	3	13	2	247	331	331	661	83	320	23	10	305	91	-5	+2	-5	-3	+15	0.4
2027	22	MLB	LAD	35%	197	174	44	5	1	1	20	44	1	15	3	253	333	310	644	57	330	22	10	294	83	-4	+2	-0	-1	+6	0.2
2028	23	MLB	LAD	49%	291	258	66	8	2	3	29	63	2	20	4	256	336	337	673	81	328	22	10	305	91	-3	+2	-0	-2	+8	0.6
2029	24	MLB	LAD	53%	325	287	75	9	2	5	33	70	2	20	4	261	342	359	700	98	327	22	10	312	97	-1	+2	-0	-2	+9	0.8
2030	25	MLB	LAD	55%	344	304	80	10	2	6	35	74	2	19	4	263	343	368	712	105	327	22	10	316	100	-0	+2	-0	-2	+10	0.9
2031	26	MLB	LAD	56%	353	311	82	10	2	6	36	75	3	19	4	264	346	367	712	103	327	21	10	318	101	+1	+2	-0	-2	+10	1.0
2032	27	MLB	LAD	55%	349	307	81	10	2	6	36	75	3	17	3	264	347	368	715	104	326	21	10	318	101	+1	+2	-0	-2	+10	1.0
2033	28	MLB	LAD	55%	344	303	80	10	2	6	36	74	2	15	3	264	346	370	716	106	326	22	10	317	101	+0	+2	-1	-2	+10	0.9
2034	29	MLB	LAD	53%	330	290	75	9	2	5	35	72	2	13	3	259	343	355	698	97	325	22	11	315	99	-0	+1	-1	-2	+9	0.7
2035	30	MLB	LAD	53%	320	281	73	9	2	5	34	70	2	11	2	260	344	359	703	100	324	22	11	312	97	-1	+1	-2	-2	+9	0.6
2036	31	MLB	LAD	52%	310	272	70	8	2	5	33	69	2	10	2	257	342	357	699	99	322	22	11	308	94	-2	+1	-2	-2	+9	0.4
2037	32	MLB	LAD	52%	299	264	66	8	2	4	31	68	2	8	2	250	333	341	674	91	319	23	10	303	90	-3	+1	-2	-2	+8	0.2
2038	33	MLB	LAD	52%	282	249	62	7	2	4	29	66	2	7	1	249	332	341	674	92	316	23	10	297	86	-5	+1	-3	-2	+8	0.0
▸ Career Totals
Career	—			—	3747	3303	855	103	23	56	387	821	25	174	35	259	341	355	696	96	327	22	10	310	96	-18	+21	-13	-22	+106	7.5
/ 162G	—			—	650	573	149	18	4	10	67	142	4	30	6	260	341	358	699	98	328	22	10	310	96	-3	+4	-2	-4	+18	1.3
Career	—			—	8443	7438	1923	224	54	109	878	1882	55	511	110	259	341	347	688	89	330	22	10	313	98	-19	+58	-25	-51	+239	20.7
/ 162G	—			—	650	573	147	17	4	8	68	145	4	39	8	257	340	342	682	86	328	22	10	313	98	-1	+5	-2	-4	+18	1.6

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
2023	18	A	Rancho Cucamonga Quakes	—	50	42	16	2	0	0	6	9	1	6	2	381	469	429	898	48	485	18	12	403	167	+4	+0	—	—	+1	0.6
2023	18	ROK	ACL Dodgers	—	71	58	21	3	0	0	11	11	0	11	4	362	464	414	878	52	429	15	15	392	158	+5	+1	—	—	+2	0.7
2024	19	A	Rancho Cucamonga Quakes	—	404	341	95	6	4	1	57	83	3	36	12	279	387	328	715	50	362	21	14	332	112	+6	+2	—	—	+11	2.0
2025	20	A+	Great Lakes Loons	—	514	424	125	9	7	3	84	78	1	100	24	295	413	370	783	75	352	15	16	359	133	+19	+10	—	—	+15	4.5

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
#1Brett Gardnerlast yr '21 career totals — 13 seasons, 6,577 PA	13	6,577	139	272	256	341	398	-41	+49	29.8	26.6
	/162	664	14	27	256	341	398	-4.2	+4.9	3.0	pk7: 23
#2Alex Rioslast yr '15 career totals — 12 seasons, 6,929 PA	12	6,929	169	253	277	321	434	-57	+11	25.0	25.4
#2Alex Rioslast yr '15 career totals — 12 seasons, 6,929 PA	/162	664	16	24	277	321	434	-5.5	+1.0	2.4	pk7: 26
#3Scott Podsedniklast yr '12 career totals — 9 seasons, 4,315 PA	9	4,315	41	309	281	339	379	-24	-27	10.6	10.8
	/162	664	6	48	281	339	379	-3.8	-4.2	1.6	pk7: 11
#4Dave Robertslast yr '08 career totals — 7 seasons, 2,910 PA	7	2,910	21	231	268	346	370	-9	-7	10.3	10.3
	/162	664	5	53	268	346	370	-2.2	-1.6	2.3	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	6	3,751	57	175	263	341	361	-23	+15	11.0	9.7
	/162	664	10	31	263	341	361	-4.0	+2.7	2.0	pk7: 8
#5Eric Young Sr.last yr '06 career totals — 7 seasons, 3,180 PA	7	3,180	36	173	275	346	384	-17	-24	8.6	8.6
	/162	664	8	36	275	346	384	-3.6	-4.9	1.8	pk7: 9
#6Mark McLemorelast yr '04 career totals — 5 seasons, 2,119 PA	5	2,119	19	92	258	360	353	-4	-2	7.0	7.0
	/162	664	6	29	258	360	353	-1.3	-0.7	2.2	pk7: 7

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
Kendall George (OGILVIE)	21	40→51	30→31	70→76	55	286/358/338	52	384	0	48	23%	9%	102	+1.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Billy Hamilton 2013 · AA	22	55→63	36→40	76→70	46	252/311/329	77	347	2	72	26%	8%	81	+0.4	237/283/320	83	304	5	67	22%	6%	66	-0.6	240/299/324	84	307	4	55	22%	8%	73	-0.1
✕Gabriel Mejia 2015 · A	20	54	34→30	63→70	51	245/315/301	55	327	1	43	24%	9%	76	+0.0	246/304/301	55	315	1	32	20%	7%	70	-0.3	248/299/288	40	312	0	29	19%	6%	62	-0.3
●Mallex Smith 2015 · A	22	52→61	39→45	62→65	49	243/316/333	90	322	6	44	25%	9%	85	+0.7	258/316/354	96	335	6	43	23%	7%	89	+1.0	262/328/367	105	334	4	43	21%	8%	96	+1.0
✕Jayce Easley 2022 · A	22	46→45	36→30	64→65	53	212/308/277	65	300	3	44	28%	11%	69	-0.4	190/286/255	65	278	4	32	30%	11%	54	-1.4	160/263/207	47	244	3	32	32%	11%	31	-1.3
✕Jorge Mateo 2016 · A	21	45→46	38→50	66→65	41	213/261/302	89	295	4	44	28%	6%	53	-1.5	199/242/313	114	289	8	32	33%	5%	48	-1.9	222/263/355	133	288	13	49	27%	5%	66	-0.2
✕José Peraza 2015 · AA	21	57→64	37→45	65	42	271/298/350	80	317	3	40	16%	3%	80	+0.4	262/290/342	80	300	5	32	14%	3%	75	-0.0	272/311/362	90	305	8	25	13%	4%	86	+0.7
✕Rochest Cruz 2019 · A	20	49	37→40	61→65	54	226/303/299	73	269	4	34	16%	9%	71	-0.3	206/274/271	65	290	3	23	28%	7%	52	-1.6	144/214/156	12	235	0	30	35%	6%	-5	-1.2
✕Delino DeShields 2014 · A	21	48→55	40→45	62→65	44	228/292/324	96	309	7	37	27%	7%	72	-0.2	229/303/336	107	310	8	35	26%	9%	80	+0.4	242/320/339	97	323	6	34	25%	10%	85	+0.6
●Brett Gardner 2007 · AA	23	55→59	35→55	63→65	51	250/322/317	67	333	1	38	24%	9%	83	+0.6	252/322/340	88	324	3	41	21%	9%	89	+0.9	244/328/413	169	275	18	16	18%	10%	109	+2.4
✕Travis Jankowski 2014 · A	23	54→62	35→40	61→65	46	249/299/311	62	322	2	37	22%	7%	71	-0.3	257/314/330	73	328	3	34	21%	7%	82	+0.5	267/332/343	75	341	3	37	21%	8%	91	+0.6
✕Nasim Nuñez 2023 · AA	22	49	35→30	61→65	51	217/309/272	56	333	3	43	32%	12%	67	-0.5	209/288/272	63	289	5	43	27%	10%	58	-1.2	210/286/268	58	278	5	56	25%	9%	54	-1.0
✕Wes Rogers 2016 · A	22	47→48	38→40	65	43	223/280/308	85	293	5	35	25%	6%	63	-0.8	217/271/302	85	297	5	34	27%	6%	58	-1.2	209/263/288	80	288	5	36	28%	6%	48	-1.5
✕Antoan Richardson 2007 · A	23	54→59	36→40	62→60	49	252/321/316	65	323	3	37	22%	8%	82	+0.5	234/313/307	73	319	4	31	25%	9%	78	+0.2	255/350/321	66	341	1	30	22%	11%	93	+0.9
✕Eric Young Jr. 2007 · A	22	53→58	39→45	61→65	49	248/314/343	95	310	5	38	21%	8%	86	+0.8	253/313/353	100	320	6	42	21%	7%	89	+0.9	257/320/359	101	324	6	48	21%	7%	88	+0.9
✕Micah Johnson 2014 · AA	23	52→60	40→45	63→60	44	247/298/348	101	326	6	35	25%	7%	80	+0.4	257/301/351	94	334	6	28	23%	6%	82	+0.5	255/298/342	87	332	5	27	24%	6%	75	+0.0
●Dee Strange-Gordon 2011 · AA	23	54→64	36→40	60→65	42	255/294/327	72	314	3	34	19%	4%	72	-0.2	249/290/312	63	309	2	46	19%	5%	67	-0.5	313/345/388	75	364	3	52	14%	4%	106	+2.1
✕Yhoswar Garcia 2023 · A	21	41	38→30	62→70	39	194/261/276	82	302	5	38	35%	7%	47	-1.9	201/252/267	66	276	3	38	27%	5%	40	-2.4	195/242/247	52	259	1	51	24%	5%	28	-1.5
✕Rafael Bautista 2013 · A	20	51→53	35→30	61→60	45	236/301/296	59	312	1	33	23%	7%	69	-0.4	243/290/308	65	304	3	32	20%	5%	67	-0.5	248/289/311	63	301	3	38	18%	4%	64	-0.4
✕Everth Cabrera 2009 · A	22	51→60	39→40	61→65	43	238/293/326	89	318	5	34	26%	6%	73	-0.1	239/307/330	91	313	4	33	23%	8%	80	+0.4	262/328/346	84	335	4	54	21%	8%	89	+0.7
●Carl Crawford 2004 · MLB	22	56→65	39→55	64→65	44	269/300/362	93	310	6	38	16%	4%	84	+0.6	289/325/436	147	320	11	44	13%	5%	115	+2.7	302/341/465	163	337	13	47	14%	5%	125	+3.8