Geuri Lubo

SS Myrtle Beach Pelicans

Age 23 R/R 6'2" / 185 lbs A HR -8% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#2275ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	19	ROKCHC	105	.205/.333/.284	0	1	15	—	.138/.229/.191
2024	20	ROKCHC	164	.288/.389/.403	3	13	61	—	.212/.290/.295
2026	22	A+/ACHC	222	.190/.272/.374	8	3	33	—	.145/.212/.265
2027PROJMLE	23	MLBCHC	332	.202/.261/.326	8	6	64	0.0
2028PROJ30% MLB	24	MLBCHC	49	.207/.268/.338	1	1	69	-0.0
2029PROJ44% MLB	25	MLBCHC	100	.210/.271/.345	2	2	72	0.0

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

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

ISO39

Speed28

Chase%26

Whiff%11

BB%8

Z-Con%8

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsKendall Simmons (age 23) · David Sheaffer (age 24) · Bryson Ware (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 129 proj PA

wRC+†64

AVG/OBP/SLG.200 / .259 / .323

PA129

HR3

K%28

BB%6

ISO124

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 26 / POW 51

Toolsscout grade

CONTACT26

scouting grade only

POWER51

scouting grade only

EYE46

scouting grade only

SPEED51

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.7M	+$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)
2021	17	ROK	DSL Cubs Red	—	124	109	22	3	0	0	12	22	2	3	2	202	293	229	522	28	250	18	10	249	5	—	—	—	—	—	—
2022	18	ROK	DSL Cubs Blue	—	119	111	29	8	0	3	3	21	4	8	3	261	305	414	719	153	295	18	3	318	22	—	—	—	—	—	—
2023	19	ROK	ACL Cubs	—	105	88	18	7	0	0	16	28	1	1	2	205	333	284	617	80	300	27	15	294	15	—	—	—	—	—	—
2024	20	ROK	ACL Cubs	—	164	139	40	5	1	3	20	32	3	13	4	288	389	403	792	115	349	20	12	357	61	—	—	—	—	—	—
2026	22	A+	South Bend Cubs	—	70	63	12	2	0	2	4	26	0	1	0	190	239	317	556	127	263	37	6	239	15	—	—	—	—	—	—
2026	22	A	Myrtle Beach Pelicans	—	152	132	25	8	1	6	14	36	4	2	1	189	287	402	688	212	207	24	9	303	42	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Cubs Red	—	124	112	16	2	0	0	9	29	2	3	2	143	220	161	380	18	183	23	7	175	5	—	—	—	—	—	—
2022	18	ROK MLE	DSL Cubs Blue	—	119	112	18	5	0	1	2	26	4	8	3	161	203	232	436	71	200	22	2	201	22	—	—	—	—	—	—
2023	19	ROK MLE	ACL Cubs	—	105	94	13	5	0	0	10	40	1	1	2	138	229	191	420	53	233	38	10	191	15	—	—	—	—	—	—
2024	20	ROK MLE	ACL Cubs	—	164	146	31	4	1	2	13	47	3	13	4	212	290	295	585	82	279	29	8	259	61	—	—	—	—	—	—
2026	22	A+ MLE	South Bend Cubs	—	70	64	9	1	0	1	3	33	0	1	0	141	179	203	382	62	232	47	4	190	15	—	—	—	—	—	—
2026	22	A MLE	Myrtle Beach Pelicans	—	152	136	20	6	1	4	10	49	4	2	1	147	227	294	521	147	179	32	7	230	42	—	—	—	—	—	—
2021	17	ROK MLE	DSL Cubs Red	—	124	112	16	2	0	0	9	29	2	3	2	143	220	161	380	18	190	23	7	175	5	—	—	—	—	—	—
2021	17	ROK RAW	DSL Cubs Red	—	124	109	22	3	0	0	12	22	2	3	2	202	293	229	522	28	250	18	10	249	5	—	—	—	—	—	—
2022	18	ROK MLE	DSL Cubs Blue	—	119	112	18	5	0	1	2	26	4	8	3	161	203	232	436	71	198	22	2	201	22	—	—	—	—	—	—
2022	18	ROK RAW	DSL Cubs Blue	—	119	111	29	8	0	3	3	21	4	8	3	261	305	414	719	153	295	18	3	318	22	—	—	—	—	—	—
2023	19	ROK MLE	ACL Cubs	—	105	94	13	5	0	0	10	40	1	1	2	138	229	191	420	53	241	38	10	191	15	—	—	—	—	—	—
2023	19	ROK RAW	ACL Cubs	—	105	88	18	7	0	0	16	28	1	1	2	205	333	284	617	80	300	27	15	294	15	—	—	—	—	—	—
2024	20	ROK MLE	ACL Cubs	—	164	146	31	4	1	2	13	47	3	13	4	212	290	295	585	82	293	29	8	259	61	—	—	—	—	—	—
2024	20	ROK RAW	ACL Cubs	—	164	139	40	5	1	3	20	32	3	13	4	288	389	403	792	115	349	20	12	357	61	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	222	201	30	8	1	6	12	82	4	3	1	149	212	289	501	139	203	37	5	217	33	—	—	—	—	—	—
2026	22	A RAW	2 teams	—	222	195	37	10	1	8	18	62	4	3	1	190	272	374	646	185	223	28	8	283	33	—	—	—	—	—	—
2021	17	ROK MLE	DSL Cubs Red	—	124	112	16	2	0	0	9	29	2	3	2	143	220	161	380	18	183	23	7	175	5	—	—	—	—	—	—
2022	18	ROK MLE	DSL Cubs Blue	—	119	112	18	5	0	1	2	26	4	8	3	161	203	232	436	71	200	22	2	201	22	—	—	—	—	—	—
2023	19	ROK MLE	ACL Cubs	—	105	93	13	5	0	0	10	40	1	1	2	140	229	194	422	54	233	38	10	191	15	—	—	—	—	—	—
2024	20	ROK MLE	ACL Cubs	—	164	147	31	4	1	2	13	47	3	13	4	211	290	293	583	82	279	29	8	259	61	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	222	204	30	8	1	6	12	82	4	3	1	147	212	284	496	137	196	37	5	217	33	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	ROK MLE	ACL Cubs	—	164	147	31	4	1	2	13	47	3	13	4	211	290	293	583	82	279	29	8	259	61	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	222	204	30	8	1	6	12	82	4	3	1	147	212	284	496	137	196	37	5	217	33	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	CHC	0%	332	304	62	11	2	8	21	93	4	6	1	202	261	326	587	124	261	28	6	264	64	-14	+1	+0	+4	+7	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	CHC	30%	163	149	31	6	1	4	11	45	2	3	1	206	266	337	603	131	263	28	7	270	69	-6	+0	+0	+2	+4	-0.1
2029	25	MLB MLE	CHC	44%	227	208	43	8	1	6	15	62	2	4	1	209	270	344	614	135	265	27	7	275	72	-8	+0	+0	+2	+5	0.0
2030	26	MLB MLE	CHC	51%	280	256	54	10	2	7	19	76	3	5	1	211	273	349	622	138	266	27	7	278	74	-9	+1	+0	+3	+6	0.1
2031	27	MLB MLE	CHC	52%	310	283	60	11	2	8	21	84	3	6	2	212	275	350	624	138	267	27	7	279	75	-9	+0	+0	+3	+7	0.1
2032	28	MLB MLE	CHC	53%	325	297	63	12	2	8	22	88	3	5	2	212	275	348	623	137	268	27	7	279	75	-10	+0	-1	+3	+7	0.0
2033	29	MLB MLE	CHC	53%	325	297	63	12	2	8	22	89	3	5	2	210	272	343	615	133	267	27	7	275	72	-11	+0	-1	+3	+7	-0.1
2034	30	MLB MLE	CHC	56%	321	293	61	11	2	8	22	89	3	4	2	207	269	335	604	129	265	28	7	271	70	-12	+0	-2	+3	+7	-0.3
2028	24	MLB CTX	CHC	30%	49	45	9	2	0	1	3	14	1	1	0	207	268	338	606	131	267	29	6	271	69	-2	+0	+0	+1	+1	-0.0
2029	25	MLB CTX	CHC	44%	100	92	19	4	1	2	7	27	1	2	0	210	271	345	617	135	268	27	7	276	72	-3	+0	+0	+1	+2	0.0
2030	26	MLB CTX	CHC	51%	142	129	28	5	1	4	10	38	2	3	1	212	274	350	625	138	269	27	7	279	74	-4	+0	+0	+2	+3	0.0
2031	27	MLB CTX	CHC	52%	162	148	31	6	1	4	11	44	2	3	1	213	276	351	627	138	270	27	7	280	75	-5	+0	+0	+2	+4	0.1
2032	28	MLB CTX	CHC	53%	173	157	33	6	1	4	12	47	2	3	1	213	276	350	626	136	271	27	7	280	75	-5	+0	-0	+2	+4	0.0
2033	29	MLB CTX	CHC	53%	171	155	33	6	1	4	12	47	2	3	1	211	273	344	617	133	270	27	7	276	72	-6	+0	-1	+2	+4	-0.1
2034	30	MLB CTX	CHC	56%	181	165	35	7	1	4	12	50	2	2	1	208	270	337	607	128	268	28	7	272	70	-7	+0	-1	+2	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	978	891	188	36	6	23	67	267	12	17	5	211	275	342	618	131	272	27	7	277	61	-32	+1	-2	+10	+21	-0.1
/ 162G	—	A+C		—	650	592	125	24	4	15	45	177	8	11	3	211	276	341	617	130	273	27	7	277	61	-21	+1	-2	+7	+14	-0.1
Career	—	MLE		—	2814	2567	507	98	15	61	186	793	34	62	24	198	261	319	580	121	257	28	7	259	61	-69	+2	-4	+22	+45	-0.4
/ 162G	—	MLE		—	650	593	117	23	3	14	43	183	8	14	6	197	261	317	578	120	257	28	7	259	61	-22	+1	-1	+7	+14	-0.1

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 AMyrtle Beach Pelicans · 152 PAwOBA .299 → .230 (−69)K% 23.7% → 32.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.68%	÷1.000	×1.360	—	—	32.21%
BB% (unintentional) /PA	9.21%	÷1.000	×0.690	—	×0.990	6.29%
HBP% /PA	2.63%	—	×0.780	—	×0.990	2.03%
Singles /BIP	10.42%	÷1.000	×0.920	×1.008	×0.990	9.56%
Doubles /BIP	8.33%	÷1.000	×0.830	×1.008	×0.990	6.90%
Triples /BIP	1.04%	÷1.000	×0.910	×1.008	×0.990	0.95%
Home runs /BIP	6.25%	÷1.000	×0.800	—	×0.990	4.95%

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 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .299 → .230; ISO .212 → .162; BABIP .207 → .179. 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 A+South Bend Cubs · 70 PAwOBA .243 → .190 (−53)K% 37.1% → 47.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.14%	÷1.000	×1.270	—	—	47.17%
BB% (unintentional) /PA	5.71%	÷1.000	×0.710	—	×0.998	4.05%
HBP% /PA	0.00%	—	×0.790	—	×0.998	0.00%
Singles /BIP	21.62%	÷1.000	×0.920	—	×0.998	19.85%
Doubles /BIP	5.41%	÷1.000	×0.810	—	×0.998	4.37%
Triples /BIP	0.00%	÷1.000	×0.850	—	×0.998	0.00%
Home runs /BIP	5.41%	÷1.000	×0.800	—	×0.998	4.32%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .243 → .190; ISO .127 → .094; BABIP .263 → .232. 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 ROKACL Cubs · 164 PAwOBA .352 → .259 (−93)K% 19.5% → 28.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.51%	÷0.989	×1.440	—	—	28.42%
BB% (unintentional) /PA	12.20%	÷0.947	×0.620	—	×0.985	7.87%
HBP% /PA	1.83%	—	×0.720	—	×0.985	1.30%
Singles /BIP	28.97%	÷1.047	×0.820	×1.045	×0.985	23.34%
Doubles /BIP	4.67%	÷0.903	×0.720	×1.045	×0.985	3.83%
Triples /BIP	0.93%	÷1.150	×0.720	×1.045	×0.985	0.60%
Home runs /BIP	2.80%	÷0.935	×0.780	—	×0.985	2.30%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 109, 2B 81, 3B 130, K 98, BB 89 — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.045.

Result: wOBA .352 → .259; ISO .115 → .088; BABIP .349 → .279. 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 Cubs · 105 PAwOBA .287 → .191 (−96)K% 26.7% → 38.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷1.000	×1.440	—	—	38.40%
BB% (unintentional) /PA	15.24%	÷1.000	×0.620	—	×0.995	9.40%
HBP% /PA	0.95%	—	×0.720	—	×0.995	0.68%
Singles /BIP	18.33%	÷1.000	×0.820	×1.001	×0.995	14.97%
Doubles /BIP	11.67%	÷1.000	×0.720	×1.001	×0.995	8.36%
Triples /BIP	0.00%	÷1.000	×0.720	×1.001	×0.995	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK 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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .287 → .191; ISO .080 → .051; BABIP .300 → .233. 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).

2022 DSLDSL Cubs Blue · 119 PAwOBA .312 → .201 (−111)K% 17.6% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.001	×1.220	—	—	21.51%
BB% (unintentional) /PA	2.52%	÷1.096	×0.700	—	×0.995	1.60%
HBP% /PA	3.36%	—	×0.700	—	×0.995	2.34%
Singles /BIP	20.00%	÷1.001	×0.680	×1.033	×0.995	13.96%
Doubles /BIP	8.89%	÷0.932	×0.600	×1.033	×0.995	5.88%
Triples /BIP	0.00%	÷0.983	×0.600	×1.033	×0.995	0.00%
Home runs /BIP	3.33%	÷0.935	×0.470	—	×0.995	1.67%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 100, 2B 86, 3B 97, K 100, BB 119 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .312 → .201; ISO .153 → .087; BABIP .295 → .200. 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).

2021 DSLDSL Cubs Red · 124 PAwOBA .245 → .175 (−70)K% 17.7% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.74%	÷0.939	×1.220	—	—	23.06%
BB% (unintentional) /PA	9.68%	÷0.985	×0.700	—	×1.008	6.93%
HBP% /PA	1.61%	—	×0.700	—	×1.008	1.14%
Singles /BIP	21.84%	÷0.964	×0.680	×1.050	×1.008	16.29%
Doubles /BIP	3.45%	÷1.001	×0.600	×1.050	×1.008	2.19%
Triples /BIP	0.00%	÷1.140	×0.600	×1.050	×1.008	0.00%
Home runs /BIP	0.00%	÷0.915	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 93, 2B 100, 3B 128, K 88, BB 97 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .245 → .175; ISO .028 → .017; BABIP .250 → .183. 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
#1Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#2Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	2.6	1,710	24	13	217*	284*	324*	+11	+37	2.1	2.9
/162	664	9	5	+4.2	+14.4	0.8	pk7: 4
#3Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#4Pete Mackanin'73-'81 * career totals — 6 seasons, 1,686 PA	2.5	1,686	30	27	222*	261*	370*	+6	+23	0.6	1.6
/162	664	12	11	+2.4	+8.9	0.2	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.7	1,108	28	18	210	269	344	+12	+12	0.7	0.7
/162	664	17	11	+7.1	+7.2	0.4	pk7: 1
#5David Howard'91-'99 * career totals — 8 seasons, 1,795 PA	2.7	1,795	11	23	220*	280*	301*	+10	+23	-1.6	-0.8
/162	664	4	9	+3.7	+8.5	-0.6	pk7: -0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Geuri Lubo (OGILVIE)	23	21→26	46→51	46→51	46	200/259/323	123	261	3	2	28%	6%	64	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kendall Simmons 2023 · A	23	36	47→50	49→50	38	188/250/319	131	265	15	10	34%	6%	60	-1.6	206/269/349	143	296	16	9	34%	6%	74	-0.6	201/265/348	147	289	17	7	35%	6%	70	-0.3
✕David Sheaffer 2019 · A	24	35	42→50	52→40	39	182/228/283	101	243	10	7	29%	5%	42	-2.9	209/254/329	120	292	12	5	31%	5%	63	-1.4	190/235/299	108	268	11	1	32%	5%	47	-0.8
✕Bryson Ware 2024 · A	23	39→32	44→45	50	40	196/260/308	112	283	12	11	34%	7%	61	-1.5	189/249/307	118	281	13	11	36%	6%	56	-1.9	182/242/307	125	267	15	11	36%	6%	51	-1.4
✕Christopher Familia 2023 · A	23	38	45→55	47→45	46	195/271/314	120	240	13	8	25%	7%	68	-1.0	215/270/381	166	280	21	4	31%	6%	82	-0.0	212/261/402	190	265	27	0	32%	5%	79	-0.1
✕Luis Santana 2022 · AA	23	40	43→45	47→50	40	202/261/310	108	272	11	10	29%	6%	61	-1.5	216/274/340	124	275	14	9	26%	6%	74	-0.6	207/266/326	119	257	14	7	25%	5%	64	-0.8
✕Cody Puckett 2010 · A	23	38→40	46→50	51→50	37	199/250/327	129	279	15	11	34%	6%	61	-1.5	204/255/347	143	278	15	11	31%	5%	68	-1.0	196/250/340	143	260	16	11	30%	5%	63	-1.1
✕Grae Kessinger 2022 · AA	24	38→30	42→45	48→50	41	192/253/286	94	259	11	15	30%	6%	53	-2.1	198/271/310	112	262	13	14	28%	8%	66	-1.1	186/264/278	92	250	9	8	27%	8%	55	-0.8
✕Kyle Martin 2008 · A	23	37	47→55	48→45	38	195/237/330	135	241	15	6	27%	4%	57	-1.8	206/255/325	119	265	12	6	26%	5%	62	-1.4	199/249/316	117	251	12	5	26%	5%	56	-0.6
✕Marcus Greene Jr. 2017 · A	22	34	46→50	44→40	39	182/248/308	126	266	15	5	36%	7%	57	-1.8	208/266/323	115	283	12	4	30%	7%	66	-1.1	206/265/315	109	274	12	2	28%	7%	62	-0.6
✕Ismael Alcantara 2023 · AA	24	38→30	45	50	37	195/253/316	121	280	13	12	34%	6%	60	-1.6	211/268/301	90	312	8	17	33%	6%	61	-1.5	216/273/285	69	324	7	24	33%	6%	57	-1.2
✕Blake Hunt 2022 · AA	23	36	43→50	49→40	39	181/242/290	109	276	11	4	37%	7%	50	-2.3	203/259/322	119	277	12	4	30%	6%	63	-1.3	215/280/358	143	272	16	1	27%	7%	77	-0.1
✕Mason Katz 2015 · A	24	37→32	49→50	48→45	43	197/260/343	146	247	18	5	28%	7%	69	-0.9	205/273/318	113	292	11	8	31%	8%	68	-1.0	184/265/264	80	287	6	6	35%	8%	51	-1.2
✕Johan Mieses 2016 · A	21	40→33	45→55	52→50	40	204/250/330	126	265	12	14	28%	5%	61	-1.5	189/238/351	162	266	20	4	37%	5%	63	-1.4	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Tony Bullard 2024 · A	24	40	44→40	52→50	43	202/263/315	113	267	12	12	29%	7%	63	-1.3	214/271/319	105	285	9	12	27%	6%	68	-1.0	210/267/311	102	278	9	13	27%	6%	61	-0.5
✕Kevin Padlo 2019 · A	23	36→42	44→55	45→50	44	183/264/301	119	275	11	7	36%	9%	61	-1.5	207/286/371	164	296	18	9	34%	9%	86	+0.3	196/269/361	165	267	20	12	33%	8%	75	-0.3
✕Tyler Kolodny 2010 · A	22	41→37	44→45	49→50	41	202/273/319	117	276	11	8	30%	6%	69	-0.9	208/282/339	131	278	13	10	29%	6%	77	-0.3	207/286/352	145	264	16	10	27%	6%	79	-0.1
✕Willie MacIver 2021 · A	24	38→35	43→50	49→55	37	192/239/298	106	261	10	9	30%	4%	51	-2.3	195/262/314	119	281	13	15	34%	7%	63	-1.3	240/316/371	130	330	11	18	28%	8%	93	+0.5
✕Jacob Wetzel 2023 · A	23	39→34	43→45	50	47	194/280/301	107	268	12	10	30%	9%	68	-1.0	192/268/302	110	281	9	13	32%	9%	63	-1.4	180/256/297	117	269	7	16	33%	9%	55	-1.0
✕Joe DeCarlo 2017 · A	23	38	45→50	47→30	44	191/278/314	124	278	13	2	34%	9%	70	-0.8	195/271/326	131	277	15	3	33%	8%	70	-0.9	176/253/298	122	249	15	0	34%	7%	54	-0.9
✕Tate Blackman 2018 · A	23	39→34	42→45	49→40	43	194/265/299	104	264	9	4	29%	7%	61	-1.5	177/248/271	94	297	10	4	41%	7%	48	-2.5	156/231/243	86	268	10	3	43%	7%	35	-2.4

Geuri Lubo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps