Korbyn Dickerson

CF Inland Empire 66ers

Age 23 R/R 6'1" / 205 lbs A K +7%HR -5% Svc 0.0 · Ctrl thru 2034

Overview

APROSPECTMiLBFA 2035

OGV OFP35OGV rank#860ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	22	A+/ASEA	482	.274/.383/.438	15	35	74	—	.214/.299/.340
2027PROJMLE	23	MLBSEA	592	.216/.293/.349	15	16	82	0.1
2028PROJ30% MLB	24	MLBSEA	134	.217/.294/.353	4	3	85	0.1
2029PROJ44% MLB	25	MLBSEA	218	.219/.296/.359	6	5	87	0.3

Next 3 projected WAR 0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$2M2033Arb-2$3M2034Arb-3$2M

Skills · percentileMiLB Statcast 2026 A+

Speed76

ISO73

wOBA69

wRC+63

Z-Con%63

Chase%59

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsTim Tawa (age 23) · Troy Stokes Jr. (age 23) · Trey Sweeney (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†82

AVG/OBP/SLG.214 / .290 / .346

PA210

HR5

SB6

K%28

BB%8

ISO133

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2030	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Arb-1	$2M	+0.4	$1M	+$0.0M (cut)
2033	Arb-2	$3M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$5M	+$2M

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)
2026	22	A+	Everett AquaSox	—	133	115	31	5	0	6	16	35	2	14	2	270	368	470	838	200	338	26	12	373	75	—	—	—	—	—	—
2026	22	A	Inland Empire 66ers	—	349	294	81	13	2	9	46	87	8	21	4	276	388	425	813	150	362	25	13	367	73	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	22	A+ MLE	Everett AquaSox	—	133	120	25	4	0	5	11	47	2	14	2	208	286	367	652	158	293	35	8	279	75	—	—	—	—	—	—
2026	22	A MLE	Inland Empire 66ers	—	349	309	67	10	2	7	31	118	8	21	4	217	305	330	635	113	315	34	9	276	73	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	482	429	91	14	2	11	42	166	10	35	6	212	297	331	628	119	316	34	9	277	73	—	—	—	—	—	—
2026	22	A RAW	2 teams	—	482	409	112	18	2	15	62	122	10	35	6	274	383	438	820	164	355	25	13	369	73	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	482	427	91	14	2	11	42	166	10	35	6	213	297	333	630	119	309	34	9	277	73	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	22	A MLE	2 teams	—	482	427	91	14	2	11	42	166	10	35	6	213	297	333	630	119	309	34	9	277	73	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	SEA	0%	592	529	114	20	3	15	50	166	8	16	3	216	293	349	641	133	280	28	8	289	82	-13	+2	+0	+2	+13	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	SEA	30%	446	399	87	15	2	12	38	123	6	11	2	219	296	359	655	139	282	28	9	294	85	-8	+1	+1	+2	+10	0.5
2029	25	MLB MLE	SEA	44%	493	441	97	17	2	14	42	134	7	12	3	221	298	365	663	143	283	27	9	298	87	-7	+1	+1	+2	+11	0.7
2030	26	MLB MLE	SEA	51%	513	457	102	18	2	15	44	139	7	12	3	223	300	369	668	146	283	27	9	299	89	-7	+1	+1	+2	+11	0.8
2031	27	MLB MLE	SEA	52%	521	465	104	19	2	15	44	140	7	12	3	223	300	368	668	145	283	27	8	299	89	-7	+1	+1	+2	+11	0.8
2032	28	MLB MLE	SEA	53%	520	465	102	18	2	14	44	140	6	11	3	222	299	365	664	143	282	27	8	298	88	-8	+1	-0	+2	+11	0.7
2033	29	MLB MLE	SEA	53%	511	457	101	18	2	14	43	139	6	10	2	220	296	359	655	139	281	27	8	294	85	-9	+1	-1	+2	+11	0.4
2034	30	MLB MLE	SEA	52%	500	448	97	17	2	13	42	137	6	9	2	217	292	351	643	134	279	27	8	289	82	-11	+1	-1	+2	+11	0.1
2028	24	MLB CTX	SEA	30%	134	120	27	5	1	4	11	37	2	3	1	217	294	353	647	136	279	28	8	291	85	-2	+0	+0	+0	+3	0.1
2029	25	MLB CTX	SEA	44%	218	195	43	8	1	6	18	59	3	5	1	219	296	359	656	140	280	27	8	295	87	-3	+1	+0	+1	+5	0.3
2030	26	MLB CTX	SEA	51%	260	233	51	9	1	7	22	70	3	6	1	221	298	363	661	142	280	27	8	297	89	-3	+1	+0	+1	+6	0.4
2031	27	MLB CTX	SEA	52%	273	245	55	10	1	8	23	73	3	6	1	221	298	362	660	142	280	27	8	296	89	-4	+1	+0	+1	+6	0.4
2032	28	MLB CTX	SEA	53%	277	248	55	10	1	8	24	74	3	6	1	220	297	360	656	140	280	27	9	295	88	-4	+1	-0	+1	+6	0.4
2033	29	MLB CTX	SEA	53%	268	240	52	9	1	7	23	73	3	5	1	218	294	353	647	136	278	27	9	291	85	-5	+1	-0	+1	+6	0.2
2034	30	MLB CTX	SEA	52%	260	233	51	9	1	7	22	71	3	5	1	214	290	346	636	131	276	27	8	287	82	-6	+1	-1	+1	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1690	1514	334	60	7	47	143	457	20	36	7	221	296	363	659	142	282	27	8	293	85	-27	+4	-0	+6	+37	2.0
/ 162G	—	A+C		—	650	582	129	23	3	18	55	176	8	14	3	222	298	364	662	143	284	27	8	293	85	-10	+2	-0	+2	+14	0.8
Career	—	MLE		—	4196	3748	821	143	17	113	357	1177	58	118	25	219	297	357	654	138	286	28	9	293	85	-61	+9	+0	+13	+80	4.3
/ 162G	—	MLE		—	650	581	128	22	3	18	55	182	9	18	4	220	298	361	659	141	286	28	8	293	85	-11	+2	+0	+2	+14	0.7

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 AInland Empire 66ers · 349 PAwOBA .359 → .276 (−83)K% 24.9% → 33.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.93%	÷1.000	×1.360	—	—	33.90%
BB% (unintentional) /PA	13.18%	÷1.000	×0.690	—	×0.990	9.00%
HBP% /PA	2.29%	—	×0.780	—	×0.990	1.77%
Singles /BIP	27.54%	÷1.000	×0.920	×0.984	×0.990	24.68%
Doubles /BIP	6.28%	÷1.000	×0.830	×0.984	×0.990	5.08%
Triples /BIP	0.97%	÷1.000	×0.910	×0.984	×0.990	0.86%
Home runs /BIP	4.35%	÷1.000	×0.800	—	×0.990	3.44%

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 ×0.984.

Result: wOBA .359 → .276; ISO .150 → .112; 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).

2026 A+Everett AquaSox · 133 PAwOBA .361 → .279 (−82)K% 26.3% → 35.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.32%	÷1.000	×1.350	—	—	35.53%
BB% (unintentional) /PA	11.28%	÷1.000	×0.710	—	×0.998	7.99%
HBP% /PA	1.50%	—	×0.810	—	×0.998	1.22%
Singles /BIP	25.00%	÷1.000	×0.910	×0.985	×0.998	22.37%
Doubles /BIP	6.25%	÷1.000	×0.830	×0.985	×0.998	5.10%
Triples /BIP	0.00%	÷1.000	×0.820	×0.985	×0.998	0.00%
Home runs /BIP	7.50%	÷1.000	×0.830	—	×0.998	6.21%

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 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .361 → .279; ISO .200 → .152; BABIP .338 → .293. 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
#1Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#2John Shelby'81-'91 * career totals — 9 seasons, 3,326 PA	5.0	3,326	70	98	237*	281*	385*	+1	-4	1.7	3.8
/162	664	14	20	+0.1	-0.9	0.3	pk7: 6
#3Gerald Williams'92-'05 * career totals — 10 seasons, 3,323 PA	5.0	3,323	85	106	242*	287*	395*	-18	+7	1.9	3.6
/162	664	17	21	-3.5	+1.4	0.4	pk7: 5
#4Luis Matos'00-'06 * career totals — 6 seasons, 1,773 PA	2.7	1,773	30	72	245*	304*	365*	+1	+10	3.2	3.2
/162	664	11	27	+0.3	+3.9	1.2	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.9	1,901	52	43	221	294	363	-9	+4	1.4	1.4
/162	664	18	15	-3.3	+1.5	0.5	pk7: 1
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#6George Wright'82-'86 * career totals — 5 seasons, 2,322 PA	3.5	2,322	42	19	241*	288*	377*	-2	-7	-0.5	-0.5
/162	664	12	5	-0.5	-2.1	-0.1	pk7: -0

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
Korbyn Dickerson (OGILVIE)	23	—	—	—	—	214/290/346	132	280	5	6	28%	8%	82	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tim Tawa 2022 · A	23	45	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	213/278/339	126	273	14	11	26%	8%	74	-0.5	223/286/391	168	267	21	13	25%	7%	88	+0.3
✕Troy Stokes Jr. 2019 · AA	23	41→40	47→50	54→55	44	208/283/351	143	281	14	17	30%	8%	80	-0.2	198/279/320	122	275	12	17	30%	8%	71	-0.8	173/262/276	103	236	10	19	29%	9%	53	-1.1
✕Trey Sweeney 2023 · AA	23	38→45	48→50	57→55	45	200/273/344	144	263	16	19	30%	8%	74	-0.5	218/289/354	136	286	15	17	28%	8%	82	+0.0	219/291/353	133	286	15	17	27%	8%	81	-0.1
✕Michael Guldberg 2022 · A	23	45	44→45	55	44	222/290/341	119	280	12	16	24%	7%	80	-0.2	214/272/298	84	283	6	12	25%	6%	62	-1.4	205/259/264	60	274	3	10	25%	6%	47	-0.7
✕Ryan Bliss 2023 · A	23	37→47	44→50	52→60	40	191/253/303	112	263	12	21	31%	6%	57	-1.8	231/299/365	134	305	12	39	26%	8%	88	+0.4	232/299/362	129	300	10	41	25%	7%	85	+0.2
✕Kenedy Corona 2023 · A	23	42	47→50	53→55	40	214/271/352	138	294	15	21	32%	6%	75	-0.5	206/270/322	116	285	12	24	30%	7%	68	-1.0	202/273/295	93	277	8	27	28%	7%	60	-1.1
✕Daz Cameron 2020 · AAA	23	42→48	45→50	52→55	42	207/282/341	133	297	12	17	33%	8%	77	-0.3	213/280/343	130	302	12	18	32%	7%	76	-0.4	227/297/394	166	289	18	26	27%	8%	92	+0.3
✕Jordan Beck 2024 · AA	23	43→49	51→50	50	46	220/290/383	163	296	19	13	31%	9%	89	+0.5	226/286/364	138	314	14	16	31%	8%	83	+0.1	224/283/356	132	309	13	18	30%	7%	80	-0.1
✕Troy Schreffler Jr. 2024 · A	23	46	43→50	53→60	46	217/298/327	110	322	11	22	34%	9%	80	-0.2	195/249/310	115	301	12	22	37%	6%	57	-1.8	166/211/280	114	254	12	26	39%	4%	33	-1.3
●Trayce Thompson 2014 · AAA	23	37→47	48→60	52→50	39	195/259/338	144	277	16	15	35%	7%	68	-1.0	216/274/366	150	286	15	14	29%	7%	79	-0.2	203/291/407	204	286	27	7	37%	10%	95	+0.6
✕Gabriel Rincones Jr. 2024 · A	23	41→42	47→50	54→55	42	207/279/346	139	294	14	18	33%	8%	77	-0.3	212/287/351	139	290	15	20	30%	8%	81	-0.1	206/286/345	139	274	16	20	29%	8%	77	-0.2
✕Phillip Ervin 2015 · A	23	42→51	43→50	56→55	43	208/262/325	118	265	9	16	25%	6%	65	-1.2	211/283/329	118	266	11	24	24%	8%	74	-0.5	240/304/385	144	304	14	21	24%	7%	93	+0.6
✕Brooks Baldwin 2024 · A	23	41→51	47→50	53→50	42	209/266/337	128	277	15	15	30%	7%	70	-0.9	246/296/387	141	308	16	15	25%	6%	92	+0.7	258/307/403	145	316	17	16	23%	6%	98	+0.9
✕A.J. Vukovich 2024 · AA	23	44→52	47→50	53→55	37	220/264/353	133	309	15	20	33%	5%	72	-0.7	237/289/381	144	343	16	7	33%	6%	88	+0.4	242/296/390	149	347	17	2	33%	6%	89	+0.4
✕Ryan Cordell 2016 · AA	24	46→42	48→50	55→50	41	234/280/377	144	297	16	15	27%	5%	84	+0.1	217/263/360	143	281	16	14	28%	5%	74	-0.6	205/250/346	141	263	15	14	28%	5%	63	-0.7
✕Brandon Meredith 2013 · A	23	46→39	50	52→45	43	232/298/391	159	310	17	11	30%	7%	94	+0.9	211/289/360	149	277	17	7	29%	9%	84	+0.1	195/280/338	143	251	17	5	28%	9%	73	-0.3
✕Jeter Downs 2021 · AA	23	43→41	51→50	52→55	45	223/290/390	167	279	19	17	27%	8%	91	+0.7	180/256/301	121	262	15	21	35%	8%	59	-1.7	176/270/315	139	246	15	26	33%	9%	66	-0.6
✕Mario Lisson 2007 · A	23	45→49	44→50	55	47	220/297/341	122	293	11	22	27%	8%	82	+0.0	215/267/326	111	279	11	19	26%	5%	67	-1.1	222/292/345	123	288	15	8	27%	7%	80	-0.1
✕Corey Julks 2019 · A	23	46→50	43→50	52→55	43	222/280/337	115	306	10	18	30%	7%	74	-0.5	214/275/320	106	297	9	13	29%	7%	68	-1.0	231/290/385	154	289	18	21	26%	7%	87	+0.3
✕Jase Bowen 2024 · AA	23	37→42	47→50	55	36	194/247/321	127	273	15	17	34%	5%	59	-1.7	209/260/339	130	297	14	20	33%	5%	68	-1.0	209/260/343	134	298	14	23	33%	6%	66	-0.7

Korbyn Dickerson

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps