Kendall George

CF Tulsa Drillers

Age 22 L/L 5'9" / 170 lbs AA HR +8%BB -8% Svc 0.0 · Ctrl thru 2033

Overview

AAPROSPECTMiLBFA 2034

OGV OFP40OGV rank#202ETA2029MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ALAA	404	.279/.387/.328	1	36	63	—	.220/.309/.265
2025	20	A+LAD	514	.295/.413/.370	3	100	99	—	.279/.365/.346
2026	21	AA/ALAD	278	.329/.419/.396	0	36	111	—	.313/.383/.373
2027PROJMLE	22	MLBLAD	4	.235/.319/.288	0	0	80	0.0
2028PROJ35% MLB	23	MLBLAD	100	.241/.325/.315	1	7	88	0.2
2029PROJ47% MLB	24	MLBLAD	210	.245/.329/.333	3	14	94	0.6

Next 3 projected WAR 0.8Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$4M2032Arb-2$7M2033Arb-3$8M

Skills · percentileMiLB Statcast 2026 AA

Speed96

Chase%88

Whiff%83

wOBA81

wRC+80

K%79

Career WAR0.2 WAR median (P10 -0.3 / P90 18, comp-based) · star 5% · didn't stick 70%

CompsBilly Hamilton (age 22) · Victor Scott II (age 23) · Mallex Smith (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†80

AVG/OBP/SLG.235 / .319 / .288

PA4

HR0

K%25

BB%10

BABIP305

ISO65

MLB%2%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$10M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2031	Arb-1	$4M	+0.8	$2M	+$0.0M (cut)
2032	Arb-2	$7M	+0.8	$2M	+$0.0M (cut)
2033	Arb-3	$8M	+0.7	$2M	+$0.0M (cut)
Totals		$2M		$12M	+$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. 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)
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	128	—	—	—	—	—	—
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	96	—	—	—	—	—	—
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	63	—	—	—	—	—	—
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	99	—	—	—	—	—	—
2026	21	AA	Tulsa Drillers	—	257	223	74	11	2	0	31	49	2	33	5	332	418	399	817	67	425	19	12	372	114	—	—	—	—	—	—
2026	21	A	Ontario Tower Buzzers	—	21	17	5	1	0	0	4	5	0	3	1	294	429	353	782	59	417	24	19	366	79	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	A MLE	Rancho Cucamonga Quakes	—	50	44	16	2	0	0	4	13	1	6	2	364	429	409	838	45	480	26	8	357	128	—	—	—	—	—	—
2023	18	ROK MLE	ACL Dodgers	—	71	62	18	2	0	0	7	16	0	11	4	290	362	323	685	32	358	23	10	310	96	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	404	355	78	5	4	1	43	117	3	36	12	220	309	265	574	45	315	29	11	261	63	—	—	—	—	—	—
2025	20	A+ MLE	Great Lakes Loons	—	514	448	125	9	6	3	60	101	1	100	24	279	365	346	711	67	342	20	12	315	99	—	—	—	—	—	—
2026	21	AA MLE	Tulsa Drillers	—	257	231	73	10	2	0	23	60	2	33	5	316	383	377	759	61	423	23	9	336	114	—	—	—	—	—	—
2026	21	A MLE	Ontario Tower Buzzers	—	21	18	5	1	0	0	3	7	0	3	1	278	381	333	714	56	376	33	14	285	79	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	121	106	34	4	0	0	11	28	1	17	6	321	390	358	748	38	425	23	9	329	109	—	—	—	—	—	—
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	109	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	404	355	78	5	4	1	43	117	3	36	12	220	309	265	574	45	321	29	11	261	63	—	—	—	—	—	—
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	63	—	—	—	—	—	—
2025	20	A+ MLE	Great Lakes Loons	—	514	448	125	9	6	3	60	101	1	100	24	279	365	346	711	67	351	20	12	315	99	—	—	—	—	—	—
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	99	—	—	—	—	—	—
2026	21	AA MLE	2 teams	—	278	250	77	11	2	0	25	67	2	36	6	308	375	368	743	60	421	24	9	332	111	—	—	—	—	—	—
2026	21	AA RAW	2 teams	—	278	240	79	12	2	0	35	54	2	36	6	329	419	396	815	67	425	19	13	372	111	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	121	108	34	4	0	0	11	28	1	17	6	315	390	352	742	37	408	23	9	329	109	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	404	355	78	5	4	1	43	117	3	36	12	220	309	265	574	45	315	29	11	261	63	—	—	—	—	—	—
2025	20	A+ MLE	Great Lakes Loons	—	514	448	125	9	6	3	60	101	1	100	24	279	365	346	711	67	342	20	12	315	99	—	—	—	—	—	—
2026	21	AA MLE	2 teams	—	278	249	77	11	2	0	25	67	2	36	6	309	375	369	745	60	419	24	9	332	111	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Rancho Cucamonga Quakes	—	404	355	78	5	4	1	43	117	3	36	12	220	309	265	574	45	315	29	11	261	63	—	—	—	—	—	—
2025	20	A+ MLE	Great Lakes Loons	—	514	448	125	9	6	3	60	101	1	100	24	279	365	346	711	67	342	20	12	315	99	—	—	—	—	—	—
2026	21	AA MLE	2 teams	—	278	249	77	11	2	0	25	67	2	36	6	309	375	369	745	60	419	24	9	332	111	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	LAD	2%	436	385	92	11	3	1	46	95	2	35	8	240	324	297	621	57	311	22	11	287	80	-10	+4	-1	+2	+9	0.2
▸ 2027 — real world (MLB)
2027	22	MLB CTX	LAD	2%	4	4	1	0	0	0	0	1	0	0	0	235	319	288	608	53	305	25	0	282	80	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	LAD	35%	285	252	63	8	2	3	30	61	1	21	4	246	329	323	652	77	312	21	11	299	88	-4	+3	+0	+1	+6	0.6
2029	24	MLB MLE	LAD	47%	451	399	100	13	3	6	47	95	2	30	6	250	333	340	673	90	312	21	10	307	94	-3	+4	+1	+2	+10	1.3
2030	25	MLB MLE	LAD	52%	469	414	103	13	3	7	49	99	3	28	6	251	334	351	685	100	311	21	10	311	97	-2	+3	+1	+2	+10	1.5
2031	26	MLB MLE	LAD	54%	476	421	106	14	3	8	49	101	3	26	6	252	334	357	691	105	310	21	10	313	98	-1	+3	+1	+2	+10	1.5
2032	27	MLB MLE	LAD	54%	476	421	105	14	3	8	49	102	3	24	5	250	332	357	689	106	309	21	10	312	97	-2	+3	+1	+2	+10	1.5
2033	28	MLB MLE	LAD	54%	472	417	104	14	3	8	49	102	3	21	5	248	330	352	682	103	308	22	10	309	95	-3	+2	+1	+2	+10	1.3
2034	29	MLB MLE	LAD	53%	463	411	100	13	3	7	47	101	2	17	4	246	327	345	673	100	306	22	10	306	93	-4	+2	-0	+2	+10	1.0
2035	30	MLB MLE	LAD	52%	454	403	98	13	3	7	46	101	2	14	3	242	324	337	661	95	304	22	10	301	90	-6	+2	-1	+2	+10	0.7
2036	31	MLB MLE	LAD	52%	380	337	80	10	2	5	38	86	2	9	3	238	319	327	646	89	301	23	10	295	86	-7	+1	-2	+1	+8	0.2
2028	23	MLB CTX	LAD	35%	100	89	22	3	1	1	10	21	1	7	2	241	325	315	640	74	305	21	10	294	88	-1	+1	+0	+0	+2	0.2
2029	24	MLB CTX	LAD	47%	210	185	46	6	1	3	22	44	1	14	3	245	329	333	662	88	305	21	10	302	94	-2	+2	+1	+1	+5	0.6
2030	25	MLB CTX	LAD	52%	243	215	53	7	1	4	25	51	1	15	3	247	330	344	675	97	305	21	10	307	97	-1	+2	+1	+1	+5	0.8
2031	26	MLB CTX	LAD	54%	258	228	55	7	1	4	27	55	1	14	3	247	330	351	681	103	304	21	10	309	98	-1	+2	+1	+1	+6	0.8
2032	27	MLB CTX	LAD	54%	258	228	56	7	1	5	27	55	1	13	3	246	329	351	679	105	302	21	10	308	97	-1	+1	+1	+1	+6	0.8
2033	28	MLB CTX	LAD	54%	256	227	54	7	1	4	26	55	1	11	3	244	327	346	672	102	301	21	10	305	95	-1	+1	+0	+1	+6	0.7
2034	29	MLB CTX	LAD	53%	246	218	53	7	1	4	25	54	1	9	2	242	324	339	663	98	300	22	10	302	93	-2	+1	-0	+1	+5	0.5
2035	30	MLB CTX	LAD	52%	238	211	50	6	1	4	24	53	1	7	2	238	320	331	651	93	298	22	10	297	90	-3	+1	-0	+1	+5	0.3
2036	31	MLB CTX	LAD	52%	198	175	41	5	1	3	20	45	1	5	1	234	315	321	636	87	295	23	10	291	86	-3	+1	-1	+1	+4	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2007	1776	430	55	9	32	206	433	9	95	22	242	324	337	661	95	302	22	10	303	92	-15	+10	+2	+7	+43	4.9
/ 162G	—	A+C		—	650	575	139	18	3	10	67	140	3	31	7	242	325	336	660	94	301	22	10	303	92	-5	+3	+1	+2	+14	1.6
Career	—	MLE		—	5453	4819	1218	146	39	64	565	1207	29	396	94	253	335	339	674	86	323	22	10	305	92	-35	+23	+4	+15	+90	9.8
/ 162G	—	MLE		—	650	574	146	17	5	8	67	144	3	47	11	254	335	343	678	89	325	22	10	305	92	-6	+4	+1	+2	+14	1.5

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 AATulsa Drillers · 257 PAwOBA .363 → .336 (−28)K% 19.1% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.07%	÷1.000	×1.220	—	—	23.26%
BB% (unintentional) /PA	12.06%	÷1.000	×0.700	—	×1.042	8.80%
HBP% /PA	0.78%	—	×0.870	—	×1.042	0.71%
Singles /BIP	35.06%	÷1.000	×0.920	×1.050	×1.042	35.29%
Doubles /BIP	6.32%	÷1.000	×0.840	×1.050	×1.042	5.81%
Triples /BIP	1.15%	÷1.000	×0.940	×1.050	×1.042	1.18%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.042	0.00%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .363 → .336; ISO .067 → .063; BABIP .425 → .423. 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).

2026 AOntario Tower Buzzers · 21 PAwOBA .358 → .285 (−74)K% 23.8% → 32.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.81%	÷1.000	×1.360	—	—	32.38%
BB% (unintentional) /PA	19.05%	÷1.000	×0.690	—	—	13.14%
HBP% /PA	0.00%	—	×0.780	—	—	0.00%
Singles /BIP	33.33%	÷1.000	×0.920	—	—	30.67%
Doubles /BIP	8.33%	÷1.000	×0.830	—	—	6.92%
Triples /BIP	0.00%	÷1.000	×0.910	—	—	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	—	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).

Result: wOBA .358 → .285; ISO .059 → .047; BABIP .417 → .376. 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+Great Lakes Loons · 514 PAwOBA .353 → .315 (−39)K% 15.2% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.18%	÷0.980	×1.270	—	—	19.66%
BB% (unintentional) /PA	16.34%	÷1.023	×0.710	—	×1.027	11.65%
HBP% /PA	0.19%	—	×0.790	—	×1.027	0.16%
Singles /BIP	30.64%	÷1.000	×0.920	×1.045	×1.027	30.28%
Doubles /BIP	2.60%	÷0.927	×0.810	×1.045	×1.027	2.44%
Triples /BIP	2.02%	÷1.150	×0.850	×1.045	×1.027	1.61%
Home runs /BIP	0.87%	÷0.992	×0.800	—	×1.027	0.72%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 98, 1B 100, 2B 85, 3B 130, K 96, BB 105 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.045.

Result: wOBA .353 → .315; ISO .075 → .065; BABIP .352 → .342. 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).

2024 ARancho Cucamonga Quakes · 404 PAwOBA .327 → .261 (−66)K% 20.5% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.54%	÷0.964	×1.360	—	—	28.98%
BB% (unintentional) /PA	14.11%	÷0.943	×0.690	—	×1.030	10.63%
HBP% /PA	0.74%	—	×0.780	—	×1.030	0.60%
Singles /BIP	32.56%	÷1.072	×0.920	×0.985	×1.030	28.34%
Doubles /BIP	2.33%	÷0.973	×0.830	×0.985	×1.030	2.01%
Triples /BIP	1.55%	÷0.973	×0.910	×0.985	×1.030	1.47%
Home runs /BIP	0.39%	÷1.072	×0.800	—	×1.030	0.30%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 114, 2B 95, 3B 95, K 93, BB 89 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .327 → .261; ISO .050 → .041; BABIP .362 → .315. 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).

2023 ROKACL Dodgers · 71 PAwOBA .394 → .310 (−83)K% 15.5% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.49%	÷1.005	×1.440	—	—	22.21%
BB% (unintentional) /PA	15.49%	÷0.992	×0.620	—	×1.008	9.76%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	38.30%	÷0.965	×0.820	—	×1.008	32.79%
Doubles /BIP	6.38%	÷1.032	×0.720	—	×1.008	4.49%
Triples /BIP	0.00%	÷0.980	×0.720	—	×1.008	0.00%
Home runs /BIP	0.00%	÷1.005	×0.780	—	×1.008	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 93, 2B 106, 3B 96, K 101, BB 98 — 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).

Result: wOBA .394 → .310; ISO .052 → .037; BABIP .429 → .358. 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).

2023 ARancho Cucamonga Quakes · 50 PAwOBA .393 → .357 (−36)K% 18.0% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.00%	÷0.973	×1.360	—	—	25.16%
BB% (unintentional) /PA	12.00%	÷0.976	×0.690	—	×1.045	8.87%
HBP% /PA	2.00%	—	×0.780	—	×1.045	1.63%
Singles /BIP	42.42%	÷0.955	×0.920	—	×1.045	42.71%
Doubles /BIP	6.06%	÷0.990	×0.830	—	×1.045	5.31%
Triples /BIP	0.00%	÷0.900	×0.910	—	×1.045	0.00%
Home runs /BIP	0.00%	÷1.025	×0.800	—	×1.045	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 91, 2B 98, 3B 80, K 95, BB 95 — 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).

Result: wOBA .393 → .357; ISO .048 → .041; BABIP .485 → .480. 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
#1Manuel 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
#2Desmond 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
#3Bob Dernier'80-'89 * career totals — 8 seasons, 2,757 PA	4.2	2,757	23	218	253*	317*	360*	+2	+22	6.7	7.2
/162	664	6	53	+0.6	+5.3	1.6	pk7: 8
#4Rudy Law'78-'86 * career totals — 6 seasons, 2,647 PA	4.0	2,647	18	228	266*	325*	384*	-4	-3	6.5	6.5
/162	664	5	57	-0.9	-0.7	1.6	pk7: 6
#5Delino DeShieldslast yr '21 career totals — 7 seasons, 2,114 PA	3.2	2,114	19	111	246	327	342	+1	+6	5.3	5.3
/162	664	6	35	+0.4	+1.8	1.7	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.0	2,012	30	96	248	327	347	-12	+13	3.9	3.8
/162	664	10	32	-4.0	+4.2	1.3	pk7: 4
#6Brian Hunter'94-'03 * career totals — 9 seasons, 3,659 PA	5.5	3,659	25	260	252*	300*	337*	+1	+13	2.0	3.6
/162	664	5	47	+0.2	+2.4	0.4	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
Kendall George (OGILVIE)	22	—	—	—	—	238/321/294	56	311	1	17	22%	10%	80	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Billy Hamilton 2013 · AA	22	55→62	36→40	76→70	47	251/311/329	79	345	2	72	26%	8%	83	+0.1	241/288/326	85	308	5	67	22%	6%	74	-0.6	242/301/327	85	311	4	55	22%	8%	78	-0.2
✕Victor Scott II 2024 · AA	23	52→55	41→40	70→65	45	246/304/351	104	306	7	50	21%	6%	86	+0.3	214/279/302	88	272	7	40	23%	7%	66	-1.1	197/269/275	78	252	7	40	23%	7%	56	-1.5
●Mallex Smith 2016 · AAA	23	58→64	38→45	65	48	271/330/358	88	346	4	46	22%	8%	97	+1.1	265/325/369	104	340	5	40	22%	8%	97	+1.1	268/334/376	108	341	5	43	21%	8%	102	+1.1
✕Jayce Easley 2022 · A	22	47→46	36→30	64→65	54	213/313/279	66	305	3	44	28%	12%	74	-0.5	189/280/255	66	272	4	32	29%	10%	57	-1.8	158/252/206	48	234	3	32	31%	10%	34	-1.5
✕Enrique Bradfield Jr. 2024 · A	22	49→51	38→40	62→65	57	230/329/306	76	292	5	37	21%	11%	86	+0.3	227/294/309	82	297	5	50	23%	8%	73	-0.6	227/294/309	81	301	5	57	24%	8%	71	-0.5
✕Nasim Nuñez 2023 · AA	22	50→51	35→30	61→65	52	224/316/280	56	336	2	43	31%	12%	76	-0.4	216/297/280	64	294	5	43	25%	10%	68	-1.0	208/286/260	52	270	4	55	23%	9%	58	-1.3
✕Braiden Ward 2023 · A	24	48	38→40	64→70	41	221/318/303	83	324	6	41	30%	7%	83	+0.1	226/316/313	87	315	5	49	28%	6%	84	+0.1	233/320/331	98	311	5	64	24%	6%	85	+0.2
✕Guy Lipscomb 2024 · A	23	49	37→40	63→60	52	225/307/306	81	303	3	36	25%	10%	78	-0.3	226/292/313	87	288	5	29	22%	8%	73	-0.6	223/287/309	86	277	6	31	21%	8%	67	-0.6
✕Travis Jankowski 2014 · A	23	54→63	35→40	61→65	45	248/298/312	64	324	2	37	23%	6%	74	-0.5	257/315/331	74	327	3	34	20%	8%	84	+0.2	268/334/344	76	339	3	37	20%	8%	94	+0.5
✕Micah Johnson 2014 · AA	23	52→61	40→45	63→60	43	247/296/348	101	326	6	35	25%	6%	82	-0.0	261/306/358	97	336	6	28	23%	6%	88	+0.4	261/307/352	91	337	6	27	23%	6%	84	+0.1
✕Jorge Mateo 2016 · A	21	46→50	38→50	67→65	42	219/269/307	88	300	3	44	27%	6%	63	-1.4	207/252/319	112	299	7	32	32%	5%	59	-1.7	217/266/353	136	277	13	42	26%	5%	73	-0.4
✕Eric Young Jr. 2008 · A	23	53→60	40→45	63→65	46	250/308/354	104	315	6	41	22%	6%	88	+0.5	257/322/352	95	323	5	42	20%	8%	93	+0.8	267/337/363	96	323	3	47	17%	9%	101	+1.0
✕Delino DeShields 2015 · AA	22	49→56	42→45	62→65	47	234/308/343	109	312	9	41	26%	8%	86	+0.3	236/312/335	99	316	7	32	25%	9%	86	+0.3	240/319/333	93	321	6	34	25%	10%	85	+0.2
✕Seth Stephenson 2024 · A	23	50→51	38→40	64→65	39	227/300/312	85	327	4	39	30%	6%	77	-0.3	224/287/310	86	290	6	42	24%	5%	71	-0.8	221/282/302	82	280	6	50	22%	5%	64	-1.1
✕Antoan Richardson 2007 · A	23	54→58	36→40	62→60	49	249/318/313	64	319	3	37	22%	8%	82	+0.0	235/314/307	72	318	4	31	25%	9%	80	-0.1	254/346/314	60	335	1	30	22%	11%	90	+0.4
✕José Peraza 2015 · AA	21	59→67	37→45	65	42	280/309/362	81	327	3	40	15%	3%	89	+0.5	269/297/350	81	308	5	32	14%	3%	82	+0.0	275/311/366	91	307	8	25	13%	4%	91	+0.7
✕Myles Straw 2019 · AAA	24	57→60	35→40	63→60	51	263/329/325	62	340	2	37	22%	9%	88	+0.5	258/326/326	68	332	3	33	21%	9%	88	+0.4	251/326/314	63	310	2	27	18%	10%	85	+0.2
●Dee Strange-Gordon 2012 · MLB	24	58→68	36→40	64→65	43	273/307/344	71	328	2	42	17%	4%	84	+0.2	259/305/333	74	321	2	49	19%	6%	82	-0.0	311/342/389	78	362	3	52	14%	4%	108	+1.9
●Brett Gardner 2007 · AA	23	56→60	35→55	63→65	51	256/328/324	68	339	1	38	23%	9%	88	+0.5	260/330/350	90	334	3	41	21%	9%	95	+1.0	245/329/417	171	277	19	16	18%	10%	112	+2.2
✕Luis Valdez 2023 · A	23	50→52	36→40	63→70	41	231/287/297	66	332	4	41	30%	6%	67	-1.1	197/244/263	66	308	3	45	35%	5%	43	-2.8	168/210/226	58	272	2	60	37%	5%	19	-1.5

Kendall George

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps