Daniel Dickinson

2B Wisconsin Timber Rattlers

Age 23 R/R 6'0" / 180 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2034

Overview

A+PROSPECTFG #743MiLBFA 2035

Scout OFP40ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	22	AAMIL	19	.312/.421/.375	0	1	103	—	.294/.368/.353
2026	22	A+MIL	499	.282/.431/.441	11	60	99	—	.233/.352/.356
2027PROJ0% MLB	23	MLBMIL	2	.227/.331/.348	0	0	97	0.0
2028PROJ31% MLB	24	MLBMIL	172	.230/.332/.356	4	5	99	0.4
2029PROJ48% MLB	25	MLBMIL	287	.231/.332/.360	6	6	100	0.7

Next 3 projected WAR 1.1Projected 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$3M2033Arb-2$5M2034Arb-3$5M

Skills · percentileMiLB Statcast 2026 A+

BB%88

wOBA87

wRC+84

Chase%82

Speed81

K%71

Career WAR0 WAR median (P10 -0 / P90 13, comp-based) · star 2% · didn't stick 81%

CompsLeo Jiménez (age 23) · Miguel Amaya (age 23) · Austin Martin (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†97

AVG/OBP/SLG.227 / .331 / .348

PA2

HR0

K%24

BB%12

BABIP288

ISO120

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$21M ctrl surplus

Tools · ContractCON 52 / POW 40

Toolsscout grade

CONTACT52

scouting grade only

POWER40

scouting grade only

EYE50

scouting grade only

SPEED44

scouting grade only

DEFENSE42

scouting grade only

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	+0.7	$2M	+$2M
2030	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2031	Pre-Arb	$0.9M	+0.9	$3M	+$2M
2032	Arb-1	$3M	+0.8	$2M	+$0.3M
2033	Arb-2	$5M	+0.6	$2M	+$0.0M (cut)
2034	Arb-3	$5M	+0.4	$0.9M	+$0.0M (cut)
Totals		$6M		$12M	+$6M

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 = actual YTD + projected ROS + total. 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	AA	Biloxi Shuckers	—	19	16	5	1	0	0	2	3	1	1	1	312	421	375	796	62	385	16	11	370	103	—	—	—	—	—	—
2026	22	A+	Wisconsin Timber Rattlers	—	499	390	110	25	2	11	88	101	14	60	13	282	431	441	872	159	352	20	18	391	99	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	22	AA MLE	Biloxi Shuckers	—	19	17	5	1	0	0	1	4	1	1	1	294	368	353	721	59	363	21	5	321	103	—	—	—	—	—	—
2026	22	A+ MLE	Wisconsin Timber Rattlers	—	499	416	97	20	2	9	62	128	14	60	13	233	352	356	707	123	304	26	12	314	99	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	518	432	102	21	2	9	64	132	15	61	14	236	354	356	711	120	316	25	12	314	99	—	—	—	—	—	—
2026	22	A+ RAW	2 teams	—	518	406	115	26	2	11	90	104	15	61	14	283	431	438	869	155	354	20	17	390	99	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	518	434	102	21	2	9	64	132	15	61	14	235	354	355	709	120	306	25	12	314	99	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	22	A+ MLE	2 teams	—	518	434	102	21	2	9	64	132	15	61	14	235	354	355	709	120	306	25	12	314	99	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	MIL	0%	628	539	124	25	3	11	72	149	12	21	5	230	333	350	684	121	293	24	11	312	97	-2	+2	-4	+2	+14	1.0
▸ 2027 — real world (MLB)
2027	23	MLB CTX	MIL	0%	2	2	0	0	0	0	0	0	0	0	0	227	331	348	678	121	288	0	0	310	97	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	MIL	31%	559	480	112	22	3	11	64	131	10	15	4	232	335	358	693	126	293	23	11	315	99	-0	+1	-3	+2	+12	1.3
2029	25	MLB MLE	MIL	48%	595	512	120	24	3	12	67	139	11	13	3	233	335	363	697	129	293	23	11	317	100	+0	+1	-3	+2	+13	1.4
2030	26	MLB MLE	MIL	58%	612	528	124	25	3	13	68	142	11	12	3	234	334	365	698	131	293	23	11	317	101	+0	+1	-3	+2	+13	1.5
2031	27	MLB MLE	MIL	62%	619	534	125	25	3	13	69	145	11	11	3	234	332	364	697	131	293	23	11	316	100	-0	+1	-3	+2	+13	1.4
2032	28	MLB MLE	MIL	65%	618	535	125	25	3	13	68	145	10	9	3	233	330	362	692	130	292	23	11	314	98	-1	+1	-4	+2	+13	1.2
2033	29	MLB MLE	MIL	64%	611	530	122	24	3	12	66	145	10	8	2	230	327	356	683	126	291	24	11	310	96	-3	+1	-4	+2	+13	0.9
2034	30	MLB MLE	MIL	64%	602	523	119	24	2	12	65	145	9	7	3	227	324	348	672	121	289	24	11	306	93	-5	+0	-5	+2	+13	0.6
2035	31	MLB MLE	MIL	70%	590	513	115	23	2	11	63	145	9	5	4	223	319	339	658	116	286	25	11	300	89	-7	-1	-6	+2	+13	0.1
2036	32	MLB MLE	MIL	75%	572	498	109	21	2	10	61	143	8	4	11	218	313	326	640	108	283	25	11	293	84	-11	-4	-6	+2	+12	-0.6
2037	33	MLB MLE	MIL	79%	543	473	100	19	2	8	57	139	8	3	48	212	306	312	617	100	278	26	10	284	78	-14	-19	-7	+2	+12	-2.6
2028	24	MLB CTX	MIL	31%	172	147	34	6	1	4	20	40	3	5	1	230	332	356	688	126	288	23	12	313	99	-0	+1	-1	+1	+4	0.4
2029	25	MLB CTX	MIL	48%	287	248	57	11	1	6	32	67	5	6	2	231	332	360	692	129	288	23	11	315	100	+0	+0	-1	+1	+6	0.7
2030	26	MLB CTX	MIL	58%	357	308	71	13	2	8	40	83	6	7	2	231	331	362	694	131	288	23	11	315	101	+0	+1	-2	+1	+8	0.8
2031	27	MLB CTX	MIL	62%	385	332	78	15	2	9	43	90	7	7	2	231	330	362	692	131	288	23	11	314	100	-0	+1	-2	+1	+8	0.9
2032	28	MLB CTX	MIL	65%	399	345	80	15	2	9	44	94	7	6	2	230	327	360	687	130	287	24	11	312	98	-1	+0	-2	+1	+9	0.8
2033	29	MLB CTX	MIL	64%	393	341	78	15	2	8	43	94	6	5	2	228	325	354	678	126	286	24	11	308	96	-2	+0	-3	+1	+9	0.6
2034	30	MLB CTX	MIL	64%	387	336	75	14	1	8	42	93	6	4	2	225	321	346	667	121	284	24	11	304	93	-3	+0	-3	+1	+8	0.4
2035	31	MLB CTX	MIL	70%	416	362	79	15	1	8	45	102	6	4	3	221	317	336	653	116	282	25	11	298	89	-5	-0	-4	+1	+9	0.1
2036	32	MLB CTX	MIL	75%	431	376	81	15	1	8	46	108	6	3	8	215	311	324	635	108	278	25	11	291	84	-8	-3	-5	+2	+9	-0.4
2037	33	MLB CTX	MIL	79%	429	375	78	14	1	7	45	110	6	3	38	209	304	309	612	100	273	26	10	282	78	-11	-15	-5	+2	+9	-2.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3656	3170	711	133	14	75	400	881	58	50	62	224	322	346	668	122	285	24	11	304	95	-30	-15	-28	+13	+79	2.1
/ 162G	—	A+C		—	650	564	126	24	2	13	71	157	10	9	11	223	321	342	663	119	285	24	11	304	95	-5	-3	-5	+2	+14	0.4
Career	—	MLE		—	6759	5832	1336	266	29	130	749	1627	118	159	101	229	329	352	680	122	293	24	11	308	95	-42	-15	-44	+22	+135	5.8
/ 162G	—	MLE		—	650	561	130	26	3	13	72	156	11	15	10	232	330	358	689	127	296	24	11	308	95	-4	-2	-5	+2	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Didi Gregoriuslast yr '22 career totals — 10 seasons, 4,238 PA	6.4	4,238	134	37	256	308	421	+45	-10	17.0	17.2
/162	664	21	6	+7.1	-1.5	2.7	pk7: 18
#2Julio Lugo'00-'11 * career totals — 11 seasons, 5,338 PA	8.0	5,338	80	198	259*	323*	374*	+48	-38	10.5	11.7
/162	664	10	25	+6.0	-4.7	1.3	pk7: 13
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	5.5	3,658	70	49	228	322	349	+39	-19	9.2	9.3
/162	664	13	9	+7.1	-3.4	1.7	pk7: 9
#3Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8
#4Billy Urbanski'31-'37 * career totals — 6 seasons, 3,345 PA	5.0	3,345	19	24	237*	300*	353*	+32	+2	7.1	7.1
/162	664	4	5	+6.5	+0.4	1.4	pk7: 7
#5Heinie Sand'23-'28 * career totals — 6 seasons, 3,529 PA	5.3	3,529	18	21	229*	321*	354*	+36	-15	3.9	3.9
/162	664	3	4	+6.7	-2.8	0.7	pk7: 4
#6Monte Cross'01-'07 * career totals — 7 seasons, 3,343 PA	5.0	3,343	9	138	213*	306*	344*	+36	-30	2.8	2.8
/162	664	2	27	+7.1	-6.0	0.6	pk7: 3

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
Daniel Dickinson (OGILVIE)	23	30→52	35→40	40→44	50	228/331/347	120	293	6	11	24%	11%	97	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Leo Jiménez 2024 · AAA	23	49→52	42→45	49→45	48	234/321/342	108	294	9	9	22%	8%	92	+0.7	231/325/340	109	290	10	6	23%	8%	93	+0.8	223/330/323	99	283	10	3	22%	8%	91	+0.3
✕Miguel Amaya 2022 · AA	23	44→43	44→50	50→40	51	216/311/333	117	280	11	7	25%	10%	86	+0.3	226/312/365	139	299	15	5	28%	9%	94	+0.9	230/302/374	144	273	16	1	22%	7%	92	+0.3
✕Austin Martin 2022 · AA	23	53→55	40	51→60	52	244/354/343	98	329	7	14	25%	10%	105	+1.7	232/327/317	85	288	6	25	20%	9%	88	+0.5	256/352/337	81	314	4	22	17%	11%	102	+0.9
●Chase Meidroth 2024 · AA	23	52→58	43→40	52→50	53	249/341/361	113	320	11	12	24%	10%	103	+1.6	259/348/358	99	312	9	12	18%	11%	105	+1.7	263/352/365	101	313	10	11	17%	11%	107	+1.8
✕Henry Davis 2023 · AA	23	46→47	49→50	52→50	42	230/312/381	150	296	16	13	27%	6%	98	+1.2	223/306/371	148	287	17	12	27%	8%	93	+0.8	210/295/352	142	268	18	11	27%	8%	83	+0.1
✕Bryan Lavastida 2022 · AAA	23	50→44	45	48→55	46	242/308/368	125	315	12	16	26%	8%	92	+0.7	215/284/329	114	280	11	16	26%	7%	74	-0.5	221/293/333	112	282	11	27	24%	8%	77	-0.2
✕Corey Joyce 2023 · AAA	24	44	46→40	49→50	49	214/312/344	129	290	14	11	29%	10%	89	+0.5	212/309/310	98	304	8	14	30%	10%	80	-0.1	207/293/299	92	288	9	15	29%	9%	68	-0.6
✕Jeferson Morales 2022 · A	23	41→47	47→45	48→50	48	209/292/350	141	261	14	9	25%	8%	83	+0.1	206/282/335	129	268	13	9	27%	7%	76	-0.4	222/297/349	127	274	11	8	22%	7%	81	-0.0
✕Ke'Bryan Hayes 2020 · AAA	23	51→57	43→50	53→50	47	245/305/369	123	304	9	13	22%	7%	91	+0.6	254/314/393	139	316	13	14	22%	8%	100	+1.3	255/311/393	138	311	13	16	21%	7%	99	+1.0
✕Noah Cardenas 2023 · A	23	46→45	44→45	47→45	54	223/326/344	120	286	11	9	24%	11%	95	+0.9	203/302/303	100	275	8	8	27%	10%	76	-0.4	185/290/277	92	251	8	6	27%	11%	63	-0.7
✕Eguy Rosario 2023 · AAA	23	48→54	48→55	52→55	45	238/301/386	148	304	14	21	26%	7%	94	+0.9	222/284/374	152	291	16	17	28%	7%	85	+0.2	202/265/351	149	268	17	17	30%	7%	70	-0.4
✕Enrique Osorio 2007 · AAA	22	47→55	40→45	47→50	51	225/313/314	89	270	7	14	18%	8%	82	+0.0	221/281/293	72	273	6	14	20%	6%	65	-1.2	266/324/381	114	299	12	10	15%	6%	98	+0.6
✕Nick Senzel 2017 · A	22	48→58	45→50	51→50	47	232/297/367	135	304	10	16	26%	8%	88	+0.4	256/311/403	147	336	12	14	26%	7%	101	+1.4	263/317/416	154	341	14	16	26%	7%	104	+1.0
✕Agustín Ramírez 2024 · AA	22	44→48	48→55	48→55	47	226/286/366	140	275	16	10	24%	8%	84	+0.1	237/299/402	165	282	19	17	22%	7%	97	+1.1	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Graysen Tarlow 2024 · A	23	45	43→30	49→40	50	217/307/331	113	283	10	8	25%	9%	84	+0.1	211/291/285	74	299	6	6	29%	8%	68	-1.0	224/307/292	68	313	6	7	28%	8%	76	-0.1
✕Carter Kieboom 2021 · MLB	23	49→55	45→50	45	50	237/321/360	124	314	13	6	27%	10%	96	+1.0	220/309/338	118	282	14	5	25%	9%	86	+0.3	232/294/332	100	301	11	8	25%	7%	75	-0.3
●Tyler Black 2023 · A	23	48→53	41→50	50→60	55	226/323/329	103	298	7	14	24%	11%	89	+0.5	242/334/386	144	312	12	30	24%	10%	106	+1.8	240/336/386	146	312	13	35	25%	11%	104	+1.2
✕Alberto Carreon 2010 · AAA	22	46→56	45	43→50	48	225/296/348	123	253	13	10	17%	6%	84	+0.1	242/295/324	82	298	5	9	19%	5%	76	-0.4	274/332/381	107	344	7	11	21%	5%	100	+0.8
●Christian Vázquez 2014 · AA	23	51→55	43→50	42→45	49	245/307/354	108	297	10	6	20%	8%	88	+0.4	246/300/333	87	307	6	4	20%	7%	80	-0.1	259/309/407	148	296	18	8	19%	7%	102	+1.0
✕Harry Ford 2024 · A	21	46→53	46→45	52→55	56	220/336/355	135	298	13	15	28%	13%	101	+1.4	227/331/344	117	301	11	16	25%	12%	97	+1.1	223/330/334	111	296	10	16	25%	12%	91	+0.5

Daniel Dickinson

Career Stats + Projections

Career Comps

Career Path Comps