Kendall George — OGILVIE

Kendall GeorgeCF Tulsa Drillers

Age 21 L/L 5'9" / 170 lbs AA HR +8%BB -8% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION278 act + 10 ros · stats below = ROS only

showingROS

wRC+†91

AVG/OBP/SLG.222 / .300 / .222

PA10

HR0

K%20

BB%10

BABIP340

ISO53

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$18M ctrl surplus

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	+0.4	$1M	+$0.8M
2028	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2029	Pre-Arb	$0.8M	+1.1	$7M	+$6M
2030	Arb-1	$6M	+1.3	$8M	+$4M
2031	Arb-2	$10M	+1.4	$8M	+$2M
2032	Arb-3	$15M	+1.4	$7M	+$0.0M (cut)
Totals		$19M		$34M	+$15M

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)
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	159	+4	+0	—	—	+1	0.5
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	151	+4	+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	111	+5	+2	—	—	+9	1.7
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	129	+18	+10	—	—	+11	4.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	A MLE	Rancho Cucamonga Quakes	—	50	44	15	2	0	0	4	12	1	6	2	341	408	386	795	45	454	24	8	343	118	+1	+0	—	—	+1	0.3
2023	18	ROK MLE	ACL Dodgers	—	71	62	18	2	0	0	7	16	0	11	4	290	362	323	685	32	355	23	10	308	95	-0	+1	—	—	+2	0.2
2024	19	A MLE	Rancho Cucamonga Quakes	—	404	355	75	5	3	1	43	116	3	36	12	211	302	251	552	39	301	29	11	253	57	-20	+2	—	—	+9	-1.0
2025	20	A+ MLE	Great Lakes Loons	—	514	450	117	8	5	3	58	107	1	100	24	260	346	320	666	60	330	21	11	302	91	-6	+10	—	—	+11	1.6
2023	18	ROK MLE	2 teams	—	121	106	33	4	0	0	11	28	1	17	6	311	381	349	730	38	412	23	9	322	104	—	—	—	—	—	—
2023	18	ROK RAW	2 teams	—	121	100	37	5	0	0	17	20	1	17	6	370	466	420	886	50	451	17	14	396	104	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	404	355	75	5	3	1	43	116	3	36	12	211	302	251	552	39	307	29	11	253	57	—	—	—	—	—	—
2024	19	A RAW	Rancho Cucamonga Quakes	—	404	341	95	6	4	1	57	83	3	36	12	279	387	328	715	50	362	21	14	332	57	—	—	—	—	—	—
2025	20	A+ MLE	Great Lakes Loons	—	514	450	117	8	5	3	58	107	1	100	24	260	346	320	666	60	331	21	11	302	91	—	—	—	—	—	—
2025	20	A+ RAW	Great Lakes Loons	—	514	424	125	9	7	3	84	78	1	100	24	295	413	370	783	75	352	15	16	359	91	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	121	108	33	4	0	0	11	28	1	17	6	306	381	343	724	37	396	23	9	322	104	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	404	355	75	5	3	1	43	116	3	36	12	211	302	251	552	39	301	29	11	253	57	—	—	—	—	—	—
2025	20	A+ MLE	Great Lakes Loons	—	514	450	117	8	5	3	58	107	1	100	24	260	346	320	666	60	330	21	11	302	91	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	2 teams	—	121	108	33	4	0	0	11	28	1	17	6	306	381	343	724	37	396	23	9	322	104	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	404	355	75	5	3	1	43	116	3	36	12	211	302	251	552	39	301	29	11	253	57	—	—	—	—	—	—
2025	20	A+ MLE	Great Lakes Loons	—	514	450	117	8	5	3	58	107	1	100	24	260	346	320	666	60	330	21	11	302	91	—	—	—	—	—	—
YTD	21	AA MLE	LAD	—	278	251	77	11	2	0	24	67	2	36	6	307	372	367	738	60	418	24	9	326	107	+2	+5	+0	+1	+6	1.4
▸ 2026 season
YTD	21	A RAW	LAD	—	21	17	5	1	0	0	4	5	0	3	1	294	429	353	782	59	417	24	19	366	107	—	—	—	—	—	—
YTD	21	AA RAW	LAD	—	257	223	74	11	2	0	31	49	2	33	5	332	418	399	817	67	425	19	12	372	107	—	—	—	—	—	—
ROS	21	AA MLE	LAD	2%	10	9	2	0	0	0	1	2	0	1	0	222	300	222	522		345	20	10	302	91	-0	+0	-0	+0	+0	0.0
TOT	21	AA MLE	LAD	—	288	260	79	11	2	0	25	69	2	37	6	304	369	362	731	58	414	24	9	325	106	+2	+5	-0	+1	+6	1.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAD	35%	555	492	128	16	4	3	55	123	3	42	9	260	338	327	665	67	336	22	10	303	91	-6	+5	-1	+2	+12	1.2
2028	23	MLB MLE	LAD	49%	597	529	140	18	4	7	59	130	4	41	9	265	343	353	696	89	334	22	10	314	99	-1	+5	-1	+2	+13	1.8
2029	24	MLB MLE	LAD	53%	615	545	145	18	4	9	61	132	4	39	8	266	344	363	708	97	333	21	10	321	104	+3	+5	-1	+2	+13	2.2
2030	25	MLB MLE	LAD	55%	627	555	149	19	4	11	63	134	4	36	8	268	347	377	724	108	332	21	10	326	106	+5	+4	-1	+2	+14	2.4
2031	26	MLB MLE	LAD	56%	634	561	150	19	4	11	64	135	4	34	7	267	347	374	721	107	333	21	10	328	108	+6	+4	-1	+2	+14	2.5
2032	27	MLB MLE	LAD	55%	634	560	150	19	4	11	65	136	4	32	7	268	348	375	723	107	332	21	10	328	108	+6	+4	-1	+2	+14	2.5
2033	28	MLB MLE	LAD	55%	629	555	149	19	4	11	65	135	4	29	6	268	349	377	726	108	332	21	10	327	107	+5	+3	-2	+2	+14	2.3
2034	29	MLB MLE	LAD	53%	619	546	145	18	4	11	64	134	4	25	5	266	347	374	721	108	329	22	10	324	105	+4	+3	-3	+2	+13	2.0
2035	30	MLB MLE	LAD	53%	609	537	140	17	4	10	63	134	4	22	5	261	343	363	706	102	326	22	10	319	102	+2	+2	-4	+2	+13	1.6
2036	31	MLB MLE	LAD	52%	595	525	133	16	3	9	61	133	4	19	4	253	336	347	682	93	322	22	10	314	99	-1	+2	-4	+2	+13	1.2
2037	32	MLB MLE	LAD	52%	576	508	127	15	3	8	59	131	4	16	3	250	333	339	671	89	318	23	10	308	94	-4	+2	-5	+2	+12	0.8
2038	33	MLB MLE	LAD	52%	546	482	117	13	3	7	56	127	3	13	3	243	325	326	651	83	312	23	10	300	89	-7	+1	-5	+2	+12	0.3
2027	22	MLB CTX	LAD	35%	195	173	44	5	1	1	19	43	1	15	3	254	332	312	644	58	331	22	10	294	91	-2	+2	-0	+1	+4	0.4
2028	23	MLB CTX	LAD	49%	291	258	67	8	2	3	29	63	2	20	4	260	339	341	680	81	329	22	10	306	99	-0	+2	-1	+1	+6	0.9
2029	24	MLB CTX	LAD	53%	325	288	76	10	2	5	32	70	2	20	4	264	342	365	706	101	328	22	10	313	104	+1	+2	-1	+1	+7	1.1
2030	25	MLB CTX	LAD	55%	344	305	80	10	2	6	34	73	2	20	4	262	340	367	707	105	327	21	10	318	106	+3	+2	-1	+1	+7	1.3
2031	26	MLB CTX	LAD	56%	353	312	83	10	2	7	36	75	2	19	4	266	346	378	724	112	328	21	10	320	108	+3	+2	-1	+1	+8	1.4
2032	27	MLB CTX	LAD	55%	349	308	81	10	2	6	36	75	2	18	4	263	344	367	711	104	327	21	10	320	108	+3	+2	-1	+1	+8	1.4
2033	28	MLB CTX	LAD	55%	344	304	80	10	2	6	35	74	2	16	3	263	343	368	712	105	327	22	10	319	107	+3	+2	-1	+1	+7	1.3
2034	29	MLB CTX	LAD	53%	330	291	76	9	2	6	34	72	2	13	3	261	343	368	710	107	325	22	10	316	105	+2	+1	-2	+1	+7	1.0
2035	30	MLB CTX	LAD	53%	320	282	73	9	2	5	33	70	2	12	2	259	341	358	699	99	322	22	10	312	102	+1	+2	-2	+1	+7	0.9
2036	31	MLB CTX	LAD	52%	310	273	69	8	2	5	32	69	2	10	2	253	336	352	687	99	318	22	10	307	99	-0	+1	-2	+1	+7	0.7
2037	32	MLB CTX	LAD	52%	299	264	66	8	1	5	31	68	2	8	2	250	333	345	678	95	313	23	10	301	94	-2	+1	-3	+1	+6	0.4
2038	33	MLB CTX	LAD	52%	282	249	60	7	1	4	29	65	2	7	1	241	325	325	650	84	308	23	10	293	89	-4	+1	-3	+1	+6	0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3742	3307	855	104	21	59	380	817	23	178	36	259	339	356	695	98	325	22	10	311	99	+8	+21	-16	+13	+81	10.9
/ 162G	—	A+C		—	650	574	149	18	4	10	66	142	4	31	6	260	340	357	697	98	327	22	10	311	99	+1	+4	-3	+2	+14	1.9
Career	—	MLE		—	8285	7315	1900	224	53	112	848	1837	51	502	116	260	341	351	692	91	330	22	10	314	99	+11	+40	-31	+26	+157	20.7
/ 162G	—	MLE		—	650	574	150	18	4	9	67	144	4	39	9	261	343	354	697	92	332	22	10	314	99	+1	+4	-3	+2	+14	1.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brett Gardnerlast yr '21 career totals — 13 seasons, 6,577 PA	9.9	6,577	139	272	256	341	398	-41	+49	29.8	26.6
/162	664	14	27	-4.2	+4.9	3.0	pk7: 23
#2Alex Rioslast yr '15 career totals — 12 seasons, 6,929 PA	10.4	6,929	169	253	277	321	434	-57	+11	25.0	25.4
/162	664	16	24	-5.5	+1.0	2.4	pk7: 26
#3Chone Figginslast yr '14 career totals — 11 seasons, 5,348 PA	8.1	5,348	35	339	276	350	363	+16	+13	22.1	22.9
/162	664	4	42	+2.0	+1.6	2.7	pk7: 24
#4Michael Bournlast yr '16 career totals — 10 seasons, 5,312 PA	8.0	5,312	36	340	266	330	358	+17	+56	22.0	21.6
/162	664	4	42	+2.1	+7.0	2.8	pk7: 21
#5Scott Podsedniklast yr '12 career totals — 9 seasons, 4,315 PA	6.5	4,315	41	309	281	339	379	-24	-27	10.6	10.8
/162	664	6	48	-3.8	-4.2	1.6	pk7: 11
#6Dave Robertslast yr '08 career totals — 7 seasons, 2,910 PA	4.4	2,910	21	231	268	346	370	-9	-7	10.3	10.3
/162	664	5	53	-2.2	-1.6	2.3	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	5.6	3,749	57	178	263	340	362	-22	+15	10.8	9.6
/162	664	10	31	-4.0	+2.7	1.9	pk7: 8

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	260/337/316	56	345	1	32	23%	10%	91	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Billy Hamilton 2013 · AA	22	54→61	36→40	76→70	46	248/308/325	78	341	2	72	26%	8%	81	-0.1	236/283/318	82	301	4	67	22%	6%	70	-0.9	241/300/326	84	310	4	55	22%	8%	76	-0.4
✕Gabriel Mejia 2015 · A	20	54	34→30	63→70	51	245/315/301	55	327	1	43	24%	9%	78	-0.3	243/301/298	55	311	1	32	20%	7%	72	-0.7	240/290/280	40	302	0	29	19%	6%	62	-0.4
✕Jayce Easley 2022 · A	22	47→46	36→30	64→65	54	213/313/279	66	305	3	44	28%	12%	74	-0.5	193/289/259	66	282	4	32	29%	11%	61	-1.5	165/267/213	48	250	3	32	31%	11%	42	-1.2
✕Jorge Mateo 2016 · A	21	46→48	38→50	67→65	41	218/267/308	90	300	4	44	28%	6%	62	-1.4	202/246/311	109	292	7	32	32%	5%	55	-2.0	213/255/343	130	274	13	52	27%	5%	65	-0.4
●Mallex Smith 2014 · A	21	48→58	37→45	58→65	47	227/296/296	69	296	5	34	24%	8%	71	-0.8	258/320/347	89	337	5	44	23%	8%	91	+0.6	265/331/371	106	338	4	43	21%	8%	98	+0.8
✕José Peraza 2015 · AA	21	58→65	37→45	65	42	271/299/349	78	316	2	40	15%	3%	82	+0.0	262/290/339	77	300	4	32	14%	3%	77	-0.3	272/310/361	89	305	7	25	13%	4%	87	+0.3
✕Rochest Cruz 2019 · A	20	49	37→40	61→65	54	226/303/299	73	269	4	34	16%	9%	74	-0.5	206/274/271	65	290	3	23	28%	7%	57	-1.8	144/214/156	12	235	0	30	35%	6%	7	-1.1
✕Travis Jankowski 2014 · A	23	53→63	35→40	61→65	45	246/295/309	63	320	2	37	23%	6%	72	-0.7	256/313/328	72	325	3	34	20%	7%	83	+0.1	267/332/341	75	337	3	37	20%	8%	91	+0.4
✕Nasim Nuñez 2023 · AA	22	49	35→30	61→65	51	217/309/272	55	332	2	43	32%	12%	71	-0.8	212/293/274	62	290	5	43	26%	10%	65	-1.2	206/283/258	51	268	4	54	23%	9%	56	-1.5
●Brett Gardner 2007 · AA	23	55→59	35→55	63→65	51	251/323/319	67	332	1	38	23%	9%	86	+0.3	253/323/339	86	325	3	41	21%	9%	90	+0.6	245/329/415	170	276	19	16	18%	10%	109	+2.0
✕Wes Rogers 2016 · A	22	47→51	39→40	65	43	224/282/312	88	295	6	35	25%	6%	69	-0.9	222/277/311	89	296	6	34	25%	6%	67	-1.1	216/271/303	86	289	6	36	26%	6%	60	-1.3
✕Antoan Richardson 2007 · A	23	54→59	36→40	62→60	49	252/321/316	65	323	3	37	22%	8%	84	+0.2	235/314/307	72	318	4	31	25%	9%	80	-0.1	260/355/321	61	344	1	30	22%	11%	95	+0.7
✕Delino DeShields 2014 · A	21	50→55	40→45	62→65	45	235/299/336	101	315	7	37	26%	7%	81	-0.1	231/304/333	102	309	7	35	25%	9%	82	+0.0	239/318/333	94	320	6	34	25%	10%	82	+0.0
✕Eric Young Jr. 2007 · A	22	53→60	39→45	61→65	49	248/314/343	95	310	5	38	21%	8%	88	+0.4	253/314/354	101	319	6	42	21%	7%	91	+0.6	265/336/360	95	321	3	47	17%	9%	98	+0.9
✕Yhoswar Garcia 2023 · A	21	42	38→30	62→70	39	195/262/277	82	303	5	38	35%	7%	54	-2.0	205/256/272	67	280	3	38	26%	5%	50	-2.3	202/248/254	52	267	2	51	24%	5%	40	-1.4
✕Rafael Bautista 2013 · A	20	51→55	35→30	61→60	45	236/301/296	59	312	1	33	23%	7%	72	-0.7	244/292/310	66	304	3	32	20%	5%	72	-0.7	251/292/315	63	304	3	38	18%	4%	69	-0.5
✕Jesus Galindo 2013 · A	22	48→51	35→30	60→65	46	225/286/286	62	288	2	35	22%	6%	65	-1.2	231/280/297	66	318	3	30	26%	5%	64	-1.3	231/279/292	61	321	2	31	27%	5%	60	-1.0
●Dee Strange-Gordon 2011 · AA	23	55→65	36→40	60→65	43	257/296/330	73	314	3	34	19%	4%	78	-0.3	255/297/321	66	314	2	46	18%	5%	76	-0.4	310/342/386	76	360	3	52	14%	4%	104	+1.6
✕Micah Johnson 2014 · AA	23	53→59	40→45	63→60	43	249/298/351	102	329	6	35	25%	6%	83	+0.1	256/301/349	93	330	5	28	23%	6%	84	+0.1	254/299/339	85	328	5	27	23%	6%	77	-0.3
✕Johan Rojas 2023 · AA	22	43→53	41→45	63→65	42	213/260/314	102	267	8	35	24%	5%	61	-1.5	243/285/345	102	306	7	37	22%	5%	78	-0.3	254/296/351	97	318	7	41	21%	5%	80	-0.1

Career Stats + Projections

Career Comps

Career Path Comps