Dub Gleed

SS New Hampshire Fisher Cats

Age 24 R/R 6'1" / 200 lbs AA Svc 0.0 · Ctrl thru 2035

Overview

AAPROSPECTMiLBFA 2036

OGV OFP40OGV rank#323ETA2029MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	AA/A/ROKMIA	274	.255/.390/.350	2	5	72	—	.214/.316/.294
2026	23	AA/A+TOR	491	.282/.366/.480	19	2	92	—	.241/.306/.396
2027PROJMLE	24	MLBTOR	4	.239/.306/.381	0	0	93	0.0
2028PROJ39% MLB	25	MLBTOR	164	.240/.307/.385	4	1	95	0.4
2029PROJ56% MLB	26	MLBTOR	245	.240/.308/.386	7	2	95	0.7

Next 3 projected WAR 1.1Projected 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$1M+1

Skills · percentileMiLB Statcast 2026 AA

K%88

wRC+82

wOBA81

Whiff%76

ISO74

Chase%66

Career WAR0.0 WAR median (P10 -0.3 / P90 3.4, comp-based) · star 2% · didn't stick 89%

CompsAndrew Knizner (age 25) · Haydn McGeary (age 24) · J.R. Towles (age 25)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†93

AVG/OBP/SLG.239 / .306 / .381

PA4

HR0

K%25

BB%7

BABIP288

ISO137

MLB%2%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$14M ctrl surplus

Tools · ContractCON 47 / POW 43

Toolsscout grade

CONTACT47

scouting grade only

POWER43

scouting grade only

EYE47

scouting grade only

SPEED44

scouting grade only

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	+0.7	$2M	+$2M
2031	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Arb-1	$1M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-2	$1M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-3	$7M	—	—	—
Totals		$3M		$6M	+$4M

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	22	AA	Pensacola Blue Wahoos	—	102	87	24	7	0	1	11	20	1	1	3	276	360	391	751	115	343	20	11	333	90	—	—	—	—	—	—
2025	22	A	Jupiter Hammerheads	—	126	101	24	4	0	1	19	24	5	2	0	238	381	307	688	69	303	19	15	328	57	—	—	—	—	—	—
2025	22	ROK	FCL Marlins	—	46	32	8	4	0	0	12	4	2	2	0	250	478	375	853	125	286	9	26	404	74	—	—	—	—	—	—
2026	23	AA	New Hampshire Fisher Cats	—	289	254	74	14	2	11	28	48	6	2	2	291	375	492	867	201	321	17	10	383	106	—	—	—	—	—	—
2026	23	A+	Vancouver Canadians	—	202	175	47	10	0	8	19	41	4	0	1	269	354	463	816	194	302	20	9	356	73	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	AA MLE	Pensacola Blue Wahoos	—	102	92	24	7	0	1	7	24	1	1	3	261	320	370	690	109	335	24	7	301	90	—	—	—	—	—	—
2025	22	A MLE	Jupiter Hammerheads	—	126	108	20	3	0	1	13	32	5	2	0	185	302	241	542	56	259	25	10	252	57	—	—	—	—	—	—
2025	22	ROK MLE	FCL Marlins	—	46	37	7	3	0	0	7	6	2	2	0	189	348	270	618	81	209	13	15	277	74	—	—	—	—	—	—
2026	23	AA MLE	New Hampshire Fisher Cats	—	289	263	69	12	2	9	19	59	6	2	2	262	326	426	752	163	305	20	7	325	106	—	—	—	—	—	—
2026	23	A+ MLE	Vancouver Canadians	—	202	181	38	8	0	6	13	55	4	0	1	210	278	354	631	144	250	27	6	276	73	—	—	—	—	—	—
2025	22	A MLE	3 teams	—	274	237	52	14	0	2	27	62	8	5	3	219	320	304	624	84	287	23	10	274	72	—	—	—	—	—	—
2025	22	A RAW	3 teams	—	274	220	56	15	0	2	42	48	8	5	3	255	390	350	740	95	316	18	15	343	72	—	—	—	—	—	—
2026	23	AA MLE	2 teams	—	491	444	107	20	2	15	32	114	10	2	3	241	307	396	703	155	288	23	7	305	92	—	—	—	—	—	—
2026	23	AA RAW	2 teams	—	491	429	121	24	2	19	47	89	10	2	3	282	366	480	846	198	314	18	10	372	92	—	—	—	—	—	—
2025	22	A MLE	3 teams	—	274	237	52	14	0	2	27	62	8	5	3	219	320	304	624	84	279	23	10	274	72	—	—	—	—	—	—
2026	23	AA MLE	2 teams	—	491	446	107	20	2	15	32	114	10	2	3	240	307	395	701	155	282	23	7	305	92	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	22	A MLE	3 teams	—	274	237	52	14	0	2	27	62	8	5	3	219	320	304	624	84	279	23	10	274	72	—	—	—	—	—	—
2026	23	AA MLE	2 teams	—	491	446	107	20	2	15	32	114	10	2	3	240	307	395	701	155	282	23	7	305	92	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	TOR	2%	380	344	81	16	1	10	27	86	6	3	2	238	305	380	685	142	287	23	7	306	93	-3	-0	+0	+4	+8	0.6
▸ 2027 — real world (MLB)
2027	24	MLB CTX	TOR	2%	4	4	1	0	0	0	0	1	0	0	0	239	306	381	687	142	288	25	0	307	93	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	TOR	39%	423	383	91	18	2	11	30	95	7	3	2	239	307	384	691	145	287	22	7	308	95	-3	-0	+0	+5	+9	1.1
2029	26	MLB MLE	TOR	56%	439	397	95	19	2	12	32	99	7	3	3	239	307	385	693	146	287	23	7	309	95	-2	-1	+0	+5	+10	1.1
2030	27	MLB MLE	TOR	62%	445	402	96	19	2	12	33	101	7	2	3	239	307	384	691	145	287	23	7	308	95	-3	-1	+0	+5	+10	1.1
2031	28	MLB MLE	TOR	65%	444	401	96	19	2	12	33	101	7	1	2	237	306	381	687	143	286	23	7	307	94	-3	-1	-1	+5	+10	1.0
2032	29	MLB MLE	TOR	64%	439	397	94	19	2	11	33	101	6	0	2	236	304	376	680	141	286	23	8	304	92	-4	-1	-1	+5	+10	0.8
2033	30	MLB MLE	TOR	64%	314	284	66	13	1	8	23	73	4	0	1	233	301	369	669	136	284	23	7	300	89	-4	-0	-2	+3	+7	0.4
2034	31	MLB MLE	TOR	64%	297	269	61	12	1	7	22	71	4	0	1	229	296	359	655	131	281	24	7	294	85	-5	-0	-3	+3	+6	0.1
2035	32	MLB MLE	TOR	64%	276	250	56	11	1	6	20	67	4	0	1	224	290	347	637	124	278	24	7	286	80	-7	-0	-4	+3	+6	-0.2
2028	25	MLB CTX	TOR	39%	164	148	35	7	1	4	12	37	3	1	1	240	307	385	692	145	288	23	7	309	95	-1	-0	+0	+2	+4	0.4
2029	26	MLB CTX	TOR	56%	245	221	54	11	1	7	18	55	4	2	1	240	308	386	694	146	288	22	7	310	95	-1	+0	+0	+3	+5	0.7
2030	27	MLB CTX	TOR	62%	274	248	59	12	1	7	20	62	4	1	2	240	308	385	693	145	288	23	7	309	95	-2	-1	+0	+3	+6	0.7
2031	28	MLB CTX	TOR	65%	287	260	62	12	1	8	21	65	4	1	1	238	307	382	688	143	287	23	7	307	94	-2	-0	-0	+3	+6	0.7
2032	29	MLB CTX	TOR	64%	283	256	60	12	1	7	21	65	4	0	1	236	305	377	682	141	287	23	7	305	92	-3	-0	-1	+3	+6	0.5
2033	30	MLB CTX	TOR	64%	202	182	43	8	1	5	15	47	3	0	1	234	301	370	671	136	285	23	7	300	89	-3	-0	-1	+2	+4	0.2
2034	31	MLB CTX	TOR	64%	191	172	41	8	1	5	14	45	3	0	1	230	297	360	657	131	282	24	7	295	85	-3	-0	-2	+2	+4	0.1
2035	32	MLB CTX	TOR	64%	178	161	37	7	1	4	13	43	2	0	0	224	290	348	639	124	279	24	7	287	80	-4	+0	-2	+2	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1824	1648	391	77	8	47	134	419	27	5	8	237	305	379	684	142	289	23	7	303	90	-19	-2	-7	+20	+40	3.1
/ 162G	—	A+C		—	650	587	139	27	3	17	48	149	10	2	3	237	305	380	685	143	288	23	7	303	90	-7	-1	-2	+7	+14	1.1
Career	—	MLE		—	4052	3654	859	173	16	101	300	931	67	18	22	235	305	374	679	139	287	23	7	302	90	-33	-4	-10	+35	+71	6.0
/ 162G	—	MLE		—	650	586	138	28	3	16	48	149	11	3	4	235	305	375	681	140	288	23	7	302	90	-7	-1	-2	+7	+14	1.2

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 AANew Hampshire Fisher Cats · 289 PAwOBA .373 → .325 (−47)K% 16.6% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.61%	÷1.000	×1.220	—	—	20.26%
BB% (unintentional) /PA	9.34%	÷1.000	×0.700	—	×1.012	6.62%
HBP% /PA	2.08%	—	×0.850	—	×1.012	1.79%
Singles /BIP	22.82%	÷1.000	×0.970	×1.003	×1.012	22.47%
Doubles /BIP	6.80%	÷1.000	×0.860	×1.003	×1.012	5.93%
Triples /BIP	0.97%	÷1.000	×0.950	×1.003	×1.012	0.94%
Home runs /BIP	5.34%	÷1.000	×0.780	—	×1.012	4.22%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .373 → .325; ISO .201 → .166; BABIP .321 → .305. 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+Vancouver Canadians · 202 PAwOBA .352 → .276 (−76)K% 20.3% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.30%	÷1.000	×1.350	—	—	27.40%
BB% (unintentional) /PA	9.41%	÷1.000	×0.710	—	×0.988	6.60%
HBP% /PA	1.98%	—	×0.810	—	×0.988	1.58%
Singles /BIP	21.64%	÷1.000	×0.910	×0.953	×0.988	18.54%
Doubles /BIP	7.46%	÷1.000	×0.830	×0.953	×0.988	5.83%
Triples /BIP	0.00%	÷1.000	×0.820	×0.953	×0.988	0.00%
Home runs /BIP	5.97%	÷1.000	×0.830	—	×0.988	4.90%

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 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.953.

Result: wOBA .352 → .276; ISO .194 → .153; BABIP .302 → .250. 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 AJupiter Hammerheads · 126 PAwOBA .321 → .252 (−69)K% 19.0% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.05%	÷1.014	×1.360	—	—	25.54%
BB% (unintentional) /PA	15.08%	÷1.018	×0.690	—	×0.990	10.12%
HBP% /PA	3.97%	—	×0.780	—	×0.990	3.06%
Singles /BIP	24.68%	÷1.019	×0.920	×0.963	×0.990	21.25%
Doubles /BIP	5.19%	÷0.947	×0.830	×0.963	×0.990	4.34%
Triples /BIP	0.00%	÷0.900	×0.910	×0.963	×0.990	0.00%
Home runs /BIP	1.30%	÷1.035	×0.800	—	×0.990	0.99%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 104, 2B 89, 3B 80, K 103, BB 104 — 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 ×0.963.

Result: wOBA .321 → .252; ISO .069 → .056; BABIP .303 → .259. 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 AAPensacola Blue Wahoos · 102 PAwOBA .328 → .301 (−27)K% 19.6% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.61%	÷0.995	×1.220	—	—	24.05%
BB% (unintentional) /PA	10.78%	÷1.045	×0.680	—	×1.027	7.21%
HBP% /PA	0.98%	—	×0.840	—	×1.027	0.85%
Singles /BIP	23.88%	÷1.017	×0.920	×1.036	×1.027	22.97%
Doubles /BIP	10.45%	÷0.955	×0.910	×1.036	×1.027	10.59%
Triples /BIP	0.00%	÷0.941	×0.880	×1.036	×1.027	0.00%
Home runs /BIP	1.49%	÷1.103	×0.800	—	×1.027	1.11%

Factors used: league row SL. Park (home-season share, regressed): HR 121, 1B 103, 2B 91, 3B 88, K 99, BB 109 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .328 → .301; ISO .115 → .111; BABIP .343 → .335. 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 Marlins · 46 PAwOBA .396 → .277 (−119)K% 8.7% → 12.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.70%	÷0.985	×1.440	—	—	12.72%
BB% (unintentional) /PA	26.09%	÷1.030	×0.620	—	×0.965	15.16%
HBP% /PA	4.35%	—	×0.720	—	×0.965	3.02%
Singles /BIP	14.29%	÷0.992	×0.820	—	×0.965	11.40%
Doubles /BIP	14.29%	÷1.048	×0.720	—	×0.965	9.47%
Triples /BIP	0.00%	÷1.146	×0.720	—	×0.965	0.00%
Home runs /BIP	0.00%	÷0.910	×0.780	—	×0.965	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 98, 2B 110, 3B 129, K 97, BB 106 — applied at half strength. Age: age 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .396 → .277; ISO .125 → .094; BABIP .286 → .209. 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
#1Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#2Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#3Kyle Farmerlast yr '25 career totals — 8 seasons, 2,367 PA	3.6	2,367	63	16	247	306	388	+17	+23	8.9	9.0
/162	664	18	4	+4.7	+6.4	2.5	pk7: 9
#4Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8
#5Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
#6Shane Halter'97-'04 * career totals — 7 seasons, 2,109 PA	3.2	2,109	45	17	238*	295*	375*	+6	+26	5.3	5.3
/162	664	14	5	+2.0	+8.3	1.7	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.8	1,828	47	5	236	300	376	+20	+15	4.7	4.6
/162	664	17	2	+7.1	+5.4	1.7	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
Dub Gleed (OGILVIE)	24	47	43	44	47	236/302/377	141	287	5	2	23%	7%	93	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andrew Knizner 2020 · MLB	25	50	47→50	47→40	46	251/303/379	129	282	15	5	18%	6%	93	+0.8	223/294/333	110	269	11	5	21%	7%	79	-0.2	229/296/347	118	278	13	3	22%	6%	83	+0.0
✕Haydn McGeary 2024 · AA	24	48	47→50	46→45	48	234/313/369	135	313	15	7	28%	9%	95	+0.9	204/272/316	112	311	13	8	36%	8%	67	-1.1	171/234/291	120	258	16	8	39%	7%	47	-1.7
✕J.R. Towles 2009 · MLB	25	46→53	47→50	44→50	46	233/307/373	140	269	15	10	20%	6%	94	+0.9	218/299/349	131	257	13	8	20%	7%	86	+0.3	201/284/313	112	235	10	6	18%	7%	71	-0.3
✕Javier Valdes 2023 · AA	24	43	48→55	50→30	46	219/300/358	139	268	17	5	25%	7%	88	+0.5	217/301/360	143	265	16	5	24%	8%	88	+0.5	207/318/364	157	258	17	2	25%	11%	94	+0.4
✕Luis Torrens 2021 · MLB	25	48→49	44→50	43→40	45	238/288/357	119	289	11	3	22%	6%	82	-0.0	233/289/387	154	300	18	3	28%	7%	90	+0.6	235/293/375	140	282	15	2	22%	6%	89	+0.2
✕Ryan Lavarnway 2013 · MLB	25	46	49→55	45→30	46	235/298/383	148	286	18	2	24%	7%	93	+0.8	237/302/345	108	290	10	3	21%	7%	84	+0.2	239/308/330	91	291	8	0	20%	8%	82	+0.0
✕Raudy Read 2018 · AA	24	45→46	46→55	46→45	42	226/265/360	133	264	14	5	20%	4%	74	-0.5	230/265/382	152	273	18	4	23%	4%	80	-0.2	233/285/428	196	272	25	1	25%	6%	97	+0.5
✕German Duran 2009 · MLB	24	48→51	48→50	48→45	43	240/284/387	146	278	15	8	20%	5%	87	+0.4	214/258/308	94	255	9	6	19%	5%	59	-1.7	199/240/262	63	237	6	4	18%	4%	40	-1.3
✕Miguel Amaya 2023 · AA	24	46→43	45→50	50→40	47	222/310/350	128	316	13	6	31%	9%	90	+0.6	230/306/374	144	286	16	3	24%	8%	94	+0.9	230/302/374	144	273	16	1	22%	7%	92	+0.3
✕Curt Casali 2014 · AA	25	49	46→50	46→30	49	244/310/379	135	285	13	3	19%	7%	95	+1.0	223/303/359	136	286	15	3	26%	9%	89	+0.5	238/310/384	146	297	17	0	25%	8%	97	+0.4
✕Carter Kieboom 2023 · MLB	25	45→55	45→50	43→45	52	221/315/337	116	275	13	5	24%	10%	89	+0.5	227/296/342	115	294	13	7	26%	8%	82	-0.0	232/294/332	100	301	11	8	25%	7%	75	-0.3
✕Brendan Rodgers 2021 · MLB	24	47→55	47→50	49→45	41	236/286/369	133	296	14	8	25%	5%	84	+0.2	256/308/397	141	304	15	2	20%	6%	99	+1.2	257/312/394	138	302	14	0	19%	6%	101	+1.0
✕Yusniel Díaz 2021 · AA	24	47→54	47→45	42→50	47	232/295/371	139	295	14	7	25%	8%	88	+0.4	203/264/311	108	285	11	9	31%	7%	63	-1.4	203/270/314	111	271	13	9	29%	8%	64	-0.7
✕Andrew Young 2019 · AA	25	45→46	50→55	47→40	41	233/305/387	154	286	19	5	25%	5%	97	+1.1	223/303/401	178	290	21	5	30%	6%	99	+1.3	197/281/374	177	276	22	3	35%	6%	82	-0.0
✕Tyler Marlette 2017 · AA	24	45→43	48→50	45	40	228/271/371	143	292	16	6	28%	5%	79	-0.2	218/267/341	123	287	13	5	28%	6%	70	-0.8	210/262/326	116	274	13	3	27%	6%	62	-1.1
✕Wes Hodges 2009 · AA	24	51→53	48→50	47→45	43	251/302/393	142	313	15	3	25%	6%	95	+1.0	236/273/356	120	295	12	5	24%	5%	76	-0.4	225/257/336	110	283	11	4	24%	4%	62	-1.0
✕Eddys Leonard 2024 · AAA	23	46→47	48→50	43→50	42	229/293/371	141	294	15	5	27%	6%	88	+0.4	218/274/363	145	273	17	10	26%	5%	79	-0.2	210/266/358	149	254	18	11	25%	5%	72	-0.5
✕Alejandro Segovia 2014 · A	24	44→45	50	45→30	48	228/303/384	156	265	18	3	22%	7%	95	+0.9	216/291/347	131	268	14	5	24%	8%	81	-0.1	190/271/310	120	232	14	3	24%	8%	63	-0.8
✕Jeremy Lucas 2015 · AA	24	45→44	46→45	46→30	49	223/295/358	136	273	13	3	23%	8%	85	+0.2	222/287/333	111	276	11	3	23%	7%	76	-0.4	222/287/326	104	272	10	1	21%	7%	72	-0.4
✕Devin Mann 2021 · A	24	44→45	49→50	44→45	46	224/292/371	148	289	17	7	28%	8%	87	+0.4	217/297/370	153	284	16	5	28%	8%	89	+0.5	213/299/370	157	281	17	4	29%	9%	88	+0.3

Dub Gleed

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps