Jose Dickson

SS FCL Tigers

Age 20 R/R 6'2" / 158 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#2287ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Tigers 1	172	.273/.409/.374	0	18	50	—	.177/.292/.238
2025	18	ROKDET	171	.209/.308/.311	3	9	25	—	.154/.219/.224
2026	19	ROKDET	52	.195/.365/.390	1	5	28	—	.111/.231/.244
2027PROJMLE	20	MLBDET	162	.191/.262/.272	1	3	52	-0.1
2028PROJ34% MLB	21	MLBDET	31	.194/.265/.282	0	1	58	-0.0
2029PROJ48% MLB	22	MLBDET	85	.198/.270/.295	1	2	63	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

BB%85

ISO82

Chase%57

wRC+51

Whiff%43

wOBA41

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

CompsRicardo Rosario (age 20) · Jenner Emeterio (age 20) · Maximo Rivera (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 35 proj PA

wRC+†52

AVG/OBP/SLG.190 / .260 / .270

PA35

HR0

K%28

BB%8

ISO81

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 25 / POW 25

Toolsscout grade

CONTACT25

scouting grade only

POWER25

scouting grade only

EYE45

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Pre-Arb	$1.0M	—	—	—
2036	Arb-1	$3M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.4M	+$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)
2024	17	ROK	DSL Tigers 1	—	172	139	38	8	3	0	26	27	6	18	4	273	409	374	783	101	336	16	15	361	50	—	—	—	—	—	—
2025	18	ROK	FCL Tigers	—	171	148	31	4	1	3	20	42	1	9	2	209	308	311	619	101	267	25	12	284	25	—	—	—	—	—	—
2026	19	ROK	FCL Tigers	—	52	41	8	5	0	1	11	18	0	5	2	195	365	390	756	195	318	35	21	346	28	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Tigers 1	—	172	147	26	5	2	0	18	33	6	18	4	177	292	238	530	61	220	19	10	242	50	—	—	—	—	—	—
2025	18	ROK MLE	FCL Tigers	—	171	156	24	3	1	2	12	60	1	9	2	154	219	224	443	71	224	35	7	205	25	—	—	—	—	—	—
2026	19	ROK MLE	FCL Tigers	—	52	45	5	3	0	1	7	26	0	5	2	111	231	244	475	133	235	50	13	210	28	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 1	—	172	147	26	5	2	0	18	33	6	18	4	177	292	238	530	61	226	19	10	242	50	—	—	—	—	—	—
2024	17	ROK RAW	DSL Tigers 1	—	172	139	38	8	3	0	26	27	6	18	4	273	409	374	783	101	336	16	15	361	50	—	—	—	—	—	—
2025	18	ROK MLE	FCL Tigers	—	171	156	24	3	1	2	12	60	1	9	2	154	219	224	443	71	229	35	7	205	25	—	—	—	—	—	—
2025	18	ROK RAW	FCL Tigers	—	171	148	31	4	1	3	20	42	1	9	2	209	308	311	619	101	267	25	12	284	25	—	—	—	—	—	—
2026	19	ROK MLE	FCL Tigers	—	52	45	5	3	0	1	7	26	0	5	2	111	231	244	475	133	222	50	13	210	28	—	—	—	—	—	—
2026	19	ROK RAW	FCL Tigers	—	52	41	8	5	0	1	11	18	0	5	2	195	365	390	756	195	318	35	21	346	28	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 1	—	172	146	26	5	2	0	18	33	6	18	4	178	292	240	532	62	220	19	10	242	50	—	—	—	—	—	—
2025	18	ROK MLE	FCL Tigers	—	171	156	24	3	1	2	12	60	1	9	2	154	219	224	443	71	224	35	7	205	25	—	—	—	—	—	—
2026	19	ROK MLE	FCL Tigers	—	52	45	5	3	0	1	7	26	0	5	2	111	231	244	475	133	235	50	13	210	28	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Tigers 1	—	172	146	26	5	2	0	18	33	6	18	4	178	292	240	532	62	220	19	10	242	50	—	—	—	—	—	—
2025	18	ROK MLE	FCL Tigers	—	171	156	24	3	1	2	12	60	1	9	2	154	219	224	443	71	224	35	7	205	25	—	—	—	—	—	—
2026	19	ROK MLE	FCL Tigers	—	52	45	5	3	0	1	7	26	0	5	2	111	231	244	475	133	235	50	13	210	28	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	DET	0%	162	147	27	5	1	1	12	45	2	3	1	191	262	272	534	81	261	28	7	245	52	-9	+0	+0	+2	+4	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	DET	34%	90	82	16	3	1	1	7	24	1	2	0	197	268	288	556	91	264	27	8	254	58	-4	+0	+0	+1	+2	-0.1
2029	22	MLB MLE	DET	48%	176	158	32	6	1	3	14	47	2	3	1	202	273	301	575	100	266	27	8	262	63	-8	+0	+0	+2	+4	-0.2
2030	23	MLB MLE	DET	54%	272	246	50	9	2	4	21	72	3	5	1	206	277	312	589	106	269	26	8	267	67	-11	+1	+0	+3	+6	-0.1
2031	24	MLB MLE	DET	55%	355	320	66	12	2	6	28	93	4	7	2	209	281	320	601	111	271	26	8	272	70	-13	+1	+0	+4	+8	-0.0
2032	25	MLB MLE	DET	56%	401	362	76	14	3	7	32	104	4	8	2	211	283	326	609	115	272	26	8	275	73	-13	+1	+0	+4	+9	0.1
2033	26	MLB MLE	DET	56%	430	388	82	15	3	8	34	111	5	8	2	211	283	326	609	115	272	26	8	276	73	-14	+1	+0	+5	+9	0.1
2034	27	MLB MLE	DET	55%	440	397	83	15	3	8	35	115	5	8	2	210	282	324	606	114	271	26	8	274	72	-15	+1	+0	+5	+10	0.0
2035	28	MLB MLE	DET	55%	443	400	83	15	3	8	35	116	5	7	2	208	280	319	600	111	270	26	8	272	70	-16	+1	-1	+5	+10	-0.2
2036	29	MLB MLE	DET	58%	436	394	81	15	3	7	35	116	4	7	2	206	278	314	591	107	269	27	8	268	68	-17	+1	-1	+5	+9	-0.4
2028	21	MLB CTX	DET	34%	31	29	5	1	0	0	2	8	0	1	0	194	265	282	548	89	260	26	6	251	58	-2	+0	+0	+0	+1	-0.0
2029	22	MLB CTX	DET	48%	85	77	16	3	1	1	7	23	1	2	0	198	270	295	565	97	262	27	8	258	63	-4	+0	+0	+1	+2	-0.1
2030	23	MLB CTX	DET	54%	148	133	27	5	1	2	12	39	2	3	1	202	274	305	579	103	264	26	8	263	67	-6	+0	+0	+2	+3	-0.1
2031	24	MLB CTX	DET	55%	197	177	36	7	1	3	16	51	2	4	1	205	278	313	590	108	266	26	8	268	70	-7	+0	+0	+2	+4	-0.0
2032	25	MLB CTX	DET	56%	225	203	42	8	1	4	18	58	2	4	1	207	280	319	598	111	268	26	8	271	73	-7	+0	+0	+2	+5	0.0
2033	26	MLB CTX	DET	56%	242	218	45	8	2	4	19	63	3	5	1	207	280	319	599	112	267	26	8	271	73	-8	+1	+0	+3	+5	0.1
2034	27	MLB CTX	DET	55%	243	218	45	8	2	4	20	63	3	4	1	206	279	317	595	110	267	26	8	270	72	-8	+0	+0	+3	+5	0.0
2035	28	MLB CTX	DET	55%	243	220	45	8	2	4	19	64	2	4	1	205	277	312	589	107	266	26	8	268	70	-9	+0	-0	+3	+5	-0.1
2036	29	MLB CTX	DET	58%	253	229	46	8	2	4	20	67	2	4	1	203	275	307	581	104	265	26	8	264	68	-10	+0	-1	+3	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1667	1504	307	56	12	26	133	436	17	31	7	204	276	309	585	105	268	26	8	267	66	-60	+3	-1	+18	+36	-0.4
/ 162G	—	A+C		—	650	586	120	22	5	10	52	170	7	12	3	205	278	311	588	106	269	26	8	267	66	-23	+1	-0	+7	+14	-0.1
Career	—	MLE		—	3473	3127	629	116	24	55	281	927	40	88	22	201	276	306	582	105	265	27	8	265	66	-112	+6	-2	+33	+67	-0.9
/ 162G	—	MLE		—	650	585	117	22	4	10	53	173	7	16	4	200	274	303	577	103	264	27	8	265	66	-24	+1	-0	+7	+14	-0.2

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 ROKFCL Tigers · 52 PAwOBA .338 → .210 (−128)K% 34.6% → 49.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.62%	÷1.000	×1.440	—	—	49.85%
BB% (unintentional) /PA	21.15%	÷1.000	×0.620	—	×0.995	13.05%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	8.70%	÷1.000	×0.820	—	×0.995	7.09%
Doubles /BIP	21.74%	÷1.000	×0.720	—	×0.995	15.57%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.995	0.00%
Home runs /BIP	4.35%	÷1.000	×0.780	—	×0.995	3.37%

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).

Result: wOBA .338 → .210; ISO .195 → .121; BABIP .318 → .235. 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 Tigers · 171 PAwOBA .280 → .205 (−75)K% 24.6% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.56%	÷1.001	×1.440	—	—	35.33%
BB% (unintentional) /PA	11.70%	÷0.996	×0.620	—	×1.008	7.34%
HBP% /PA	0.58%	—	×0.720	—	×1.008	0.42%
Singles /BIP	21.70%	÷0.974	×0.820	×1.016	×1.008	18.70%
Doubles /BIP	3.77%	÷0.992	×0.720	×1.016	×1.008	2.80%
Triples /BIP	0.94%	÷0.900	×0.720	×1.016	×1.008	0.77%
Home runs /BIP	2.83%	÷0.880	×0.780	—	×1.008	2.53%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 95, 2B 98, 3B 80, K 100, BB 99 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .280 → .205; ISO .101 → .078; BABIP .267 → .224. 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 DSLDSL Tigers 1 · 172 PAwOBA .355 → .242 (−113)K% 15.7% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.70%	÷1.002	×1.220	—	—	19.12%
BB% (unintentional) /PA	15.12%	÷1.009	×0.700	—	×1.008	10.57%
HBP% /PA	3.49%	—	×0.700	—	×1.008	2.46%
Singles /BIP	24.11%	÷1.014	×0.680	×0.999	×1.008	16.27%
Doubles /BIP	7.14%	÷0.958	×0.600	×0.999	×1.008	4.50%
Triples /BIP	2.68%	÷1.150	×0.600	×0.999	×1.008	1.41%
Home runs /BIP	0.00%	÷1.105	×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 121, 1B 103, 2B 92, 3B 130, K 100, BB 102 — 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 ×0.999.

Result: wOBA .355 → .242; ISO .101 → .061; BABIP .336 → .220. 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
#1John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#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
#4Benji Gil'93-'03 * career totals — 7 seasons, 1,767 PA	2.7	1,767	32	24	227*	272*	349*	+10	+30	0.6	1.0
/162	664	12	9	+3.8	+11.3	0.2	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.6	1,701	29	31	209	278	319	+18	+18	0.7	0.8
/162	664	11	12	+7.1	+7.0	0.3	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
Jose Dickson (OGILVIE)	20	25	25	50	45	190/260/270	80	261	0	1	28%	8%	52	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ricardo Rosario 2023 · A	20	39	36→40	50→55	44	186/249/258	71	249	3	12	26%	7%	45	-2.7	204/271/288	84	283	7	19	28%	7%	60	-1.6	202/282/289	86	263	10	29	26%	8%	63	-0.7
✕Jenner Emeterio 2013 · A	20	42	37→30	48→60	49	198/268/270	72	254	4	13	22%	8%	55	-2.0	197/293/251	54	252	2	24	20%	11%	61	-1.5	183/298/219	36	231	1	34	18%	13%	54	-0.8
✕Maximo Rivera 2012 · A	19	33	38→40	47→60	44	164/228/238	74	214	6	13	26%	7%	33	-3.6	203/257/270	67	260	5	19	22%	6%	50	-2.3	211/263/264	53	270	3	24	22%	5%	49	-0.7
✕Ismael Alcantara 2019 · A	20	36→30	38→45	50	43	177/250/254	77	257	5	13	32%	7%	45	-2.7	207/272/309	102	322	8	15	36%	7%	65	-1.2	191/253/307	116	283	12	16	35%	6%	55	-0.9
✕Jose Meza 2023 · A	20	37→42	39→40	48→50	44	183/255/263	80	245	6	10	27%	7%	49	-2.4	199/291/294	95	292	8	8	32%	10%	70	-0.8	186/290/280	94	280	9	10	33%	11%	66	-0.7
✕Rafael Morel 2022 · A	20	36	39→40	51→50	40	181/244/269	88	257	7	13	31%	6%	46	-2.6	196/262/273	77	311	7	10	36%	7%	53	-2.1	190/263/263	73	291	8	10	35%	7%	49	-1.2
✕Frankeny Fernandez 2017 · A	20	36	38→40	53→60	42	174/249/256	81	276	5	19	36%	8%	45	-2.7	192/257/267	75	279	5	10	31%	7%	50	-2.3	170/235/212	43	235	3	6	27%	7%	28	-1.2
✕Alfredo González 2012 · A	20	36	36→40	47→45	39	173/218/241	68	241	2	8	28%	5%	28	-3.9	193/244/265	72	255	4	10	25%	5%	44	-2.8	232/294/283	51	313	3	6	25%	7%	64	-0.5
✕Richard Rodriguez 2012 · A	19	38	35→30	48→50	47	182/254/242	60	245	3	12	26%	8%	43	-2.8	189/250/229	40	228	1	14	16%	7%	38	-3.2	191/256/205	14	227	0	12	15%	8%	33	-1.1
✕Guillermo Pimentel 2010 · A	20	40	37→30	49→55	45	189/274/253	64	275	5	17	31%	8%	55	-2.0	200/259/279	79	339	6	8	40%	6%	53	-2.1	178/227/247	69	320	8	2	44%	5%	31	-1.0
✕Gilberto Vizcarra 2019 · A	20	34	37→45	47→40	47	164/238/229	66	203	5	3	22%	7%	35	-3.4	205/261/282	77	259	5	4	22%	6%	55	-2.0	227/269/318	92	274	7	1	19%	4%	65	-0.4
✕Rudy van Heydoorn 2008 · A	19	35	37→40	46→50	41	173/237/247	74	261	4	10	34%	7%	38	-3.2	169/266/252	83	245	7	8	31%	10%	52	-2.2	142/256/221	79	200	9	6	31%	11%	41	-1.0
✕Dennys Riera 2024 · A	19	31	36→40	48→50	42	157/222/222	65	212	4	6	27%	6%	27	-4.0	171/249/237	66	229	3	7	25%	6%	41	-3.0	156/245/214	58	204	3	7	23%	6%	36	-0.9
✕Pablo Aliendo 2021 · A	20	38	36→50	50→45	44	181/261/246	65	268	3	13	31%	8%	47	-2.5	202/271/300	98	303	9	5	34%	6%	63	-1.3	206/275/350	144	296	17	5	34%	7%	73	-0.3
✕Victor Duarte 2022 · A	21	38	38→30	48→45	42	185/249/264	79	253	5	7	28%	6%	47	-2.6	199/274/279	80	289	6	6	31%	7%	59	-1.6	182/251/245	63	250	5	11	28%	7%	41	-0.8
✕Braulio Vasquez 2019 · A	20	43	38→40	47→65	40	207/259/281	75	292	5	11	30%	6%	53	-2.1	193/262/269	76	307	6	15	36%	7%	53	-2.1	189/270/268	79	286	5	32	33%	8%	53	-0.8
✕Jose Cordoba 2023 · A	20	37	41→40	44→55	40	185/250/278	93	262	9	9	32%	6%	50	-2.3	205/259/296	91	278	6	11	27%	6%	57	-1.8	203/257/294	91	267	4	15	24%	5%	53	-0.9
✕Misael Urbina 2022 · A	20	37→32	39→40	51→50	49	180/260/269	89	230	6	13	24%	8%	53	-2.1	179/254/271	92	260	6	10	31%	8%	50	-2.3	166/253/247	81	240	5	8	30%	10%	42	-1.7
✕Gilbert Gomez 2012 · A	20	40→39	40	52→50	42	194/257/287	92	271	7	14	30%	6%	55	-2.0	204/277/282	78	309	4	8	32%	9%	61	-1.5	194/278/266	72	301	3	7	33%	10%	55	-1.3
✕Yeldrys Molina 2009 · A	20	42	38→30	48→50	45	202/263/281	80	273	4	9	27%	7%	55	-2.0	195/253/273	78	287	4	8	31%	7%	49	-2.4	143/203/205	62	209	0	9	29%	6%	14	-1.2

Jose Dickson

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps