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+PROSPECTMiLBFA 2035

OGV OFP35OGV rank#560ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	22	AA/A+MIL	518	.283/.431/.438	11	61	99	—	.235/.352/.356
2027PROJMLE	23	MLBMIL	1	.227/.331/.348	0	0	97	0.0
2028PROJ28% MLB	24	MLBMIL	135	.230/.332/.356	3	4	99	0.3
2029PROJ43% MLB	25	MLBMIL	231	.231/.332/.360	5	5	100	0.6

Next 3 projected WAR 0.9Projected 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$4M2034Arb-3$4M

Skills · percentileMiLB Statcast 2026 A+

BB%88

wOBA87

wRC+84

Chase%82

Speed81

K%71

Career WAR0.0 WAR median (P10 -0.3 / P90 9.9, comp-based) · star 2% · didn't stick 82%

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

PA1

HR0

K%24

BB%11

BABIP288

ISO122

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$16M 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	+0.6	$2M	+$1M
2030	Pre-Arb	$0.8M	+0.7	$2M	+$2M
2031	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Arb-1	$3M	+0.6	$2M	+$0.0M (cut)
2033	Arb-2	$4M	+0.5	$1M	+$0.0M (cut)
2034	Arb-3	$4M	+0.3	$0.7M	+$0.0M (cut)
Totals		$3M		$10M	+$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)
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	0.7
▸ 2027 — real world (MLB)
2027	23	MLB CTX	MIL	0%	1	1	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	28%	490	422	98	20	2	10	56	115	9	13	3	232	335	358	693	126	293	23	11	315	99	-0	+1	-2	+2	+11	1.1
2029	25	MLB MLE	MIL	43%	534	459	106	21	2	11	60	125	10	12	3	233	335	363	697	129	293	23	11	317	100	+0	+1	-2	+2	+12	1.3
2030	26	MLB MLE	MIL	52%	556	479	113	22	3	12	62	129	10	11	3	234	334	365	698	131	293	23	11	317	101	+0	+1	-3	+2	+12	1.3
2031	27	MLB MLE	MIL	56%	565	487	114	23	2	12	63	132	10	10	3	234	332	364	697	131	293	23	11	316	100	-0	+1	-3	+2	+12	1.3
2032	28	MLB MLE	MIL	58%	564	488	114	23	2	12	62	133	9	8	2	233	330	362	692	130	292	24	11	314	98	-1	+1	-3	+2	+12	1.1
2033	29	MLB MLE	MIL	58%	555	481	110	22	2	11	60	132	9	7	2	230	327	356	683	126	291	24	11	310	96	-3	+1	-4	+2	+12	0.8
2034	30	MLB MLE	MIL	58%	543	470	107	21	2	11	59	131	9	6	2	227	324	348	672	121	289	24	11	306	93	-4	+0	-5	+2	+12	0.5
2035	31	MLB MLE	MIL	63%	528	458	103	20	2	10	57	129	8	5	3	223	319	339	658	116	286	24	11	300	89	-7	-0	-5	+2	+11	0.1
2036	32	MLB MLE	MIL	67%	506	440	97	19	2	9	54	126	7	4	10	218	313	326	640	108	283	25	11	293	84	-9	-3	-6	+2	+11	-0.6
2037	33	MLB MLE	MIL	71%	472	413	88	17	2	7	49	121	7	3	42	212	306	312	617	100	278	26	10	284	78	-12	-16	-6	+2	+10	-2.3
2028	24	MLB CTX	MIL	28%	135	117	27	5	1	3	15	32	2	4	1	230	332	356	688	126	288	24	11	313	99	-0	+0	-1	+0	+3	0.3
2029	25	MLB CTX	MIL	43%	231	199	46	9	1	5	26	54	4	5	1	231	332	360	692	129	288	23	11	315	100	+0	+1	-1	+1	+5	0.6
2030	26	MLB CTX	MIL	52%	290	251	57	11	1	6	32	68	5	6	1	231	331	362	694	131	288	23	11	315	101	+0	+1	-1	+1	+6	0.7
2031	27	MLB CTX	MIL	56%	315	272	63	12	1	7	35	74	5	6	1	231	330	362	692	131	288	23	11	314	100	-0	+1	-1	+1	+7	0.7
2032	28	MLB CTX	MIL	58%	326	282	64	12	1	7	36	77	5	5	1	230	327	360	687	130	287	24	11	312	98	-1	+1	-2	+1	+7	0.6
2033	29	MLB CTX	MIL	58%	320	277	63	12	1	7	35	76	5	4	1	228	325	354	678	126	286	24	11	308	96	-1	+0	-2	+1	+7	0.5
2034	30	MLB CTX	MIL	58%	313	271	60	11	1	6	34	76	5	4	1	225	321	346	667	121	284	24	11	304	93	-3	+0	-3	+1	+7	0.3
2035	31	MLB CTX	MIL	63%	333	289	63	12	1	6	36	82	5	3	2	221	317	336	653	116	282	25	11	298	89	-4	-0	-3	+1	+7	0.1
2036	32	MLB CTX	MIL	67%	341	297	64	12	1	6	36	85	5	2	6	215	311	324	635	108	278	25	11	291	84	-6	-2	-4	+1	+7	-0.4
2037	33	MLB CTX	MIL	71%	333	290	60	11	1	5	35	85	5	2	29	209	304	309	612	100	273	26	11	282	78	-9	-11	-5	+1	+7	-1.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2937	2545	567	107	10	58	320	709	46	41	44	223	321	341	662	118	284	24	11	304	95	-24	-9	-23	+10	+64	1.8
/ 162G	—	A+C		—	650	563	126	24	2	13	71	157	10	9	10	224	321	343	664	119	285	24	11	304	95	-5	-2	-5	+2	+14	0.4
Career	—	MLE		—	6041	5209	1193	237	24	118	670	1455	107	147	89	229	329	352	681	123	293	24	11	308	95	-37	-13	-41	+20	+120	5.0
/ 162G	—	MLE		—	650	560	130	26	3	13	72	157	12	16	10	232	332	359	691	127	298	24	11	308	95	-4	-2	-5	+2	+14	0.6

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 A+Wisconsin Timber Rattlers · 499 PAwOBA .384 → .314 (−70)K% 20.2% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.24%	÷1.000	×1.270	—	—	25.71%
BB% (unintentional) /PA	17.64%	÷1.000	×0.710	—	×0.998	12.50%
HBP% /PA	2.81%	—	×0.790	—	×0.998	2.21%
Singles /BIP	24.91%	÷1.000	×0.920	×0.977	×0.998	22.36%
Doubles /BIP	8.65%	÷1.000	×0.810	×0.977	×0.998	6.83%
Triples /BIP	0.69%	÷1.000	×0.850	×0.977	×0.998	0.57%
Home runs /BIP	3.81%	÷1.000	×0.800	—	×0.998	3.04%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .384 → .314; ISO .159 → .130; BABIP .352 → .304. 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 AABiloxi Shuckers · 19 PAwOBA .361 → .321 (−40)K% 15.8% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷1.000	×1.220	—	—	19.26%
BB% (unintentional) /PA	10.53%	÷1.000	×0.680	—	×1.027	7.35%
HBP% /PA	5.26%	—	×0.840	—	×1.027	4.54%
Singles /BIP	30.77%	÷1.000	×0.920	—	×1.027	29.07%
Doubles /BIP	7.69%	÷1.000	×0.910	—	×1.027	7.19%
Triples /BIP	0.00%	÷1.000	×0.880	—	×1.027	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.027	0.00%

Factors used: league row SL. 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 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .361 → .321; ISO .062 → .059; BABIP .385 → .363. 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
#1Mike Bordick'90-'03 * career totals — 13 seasons, 6,484 PA	9.8	6,484	91	96	250*	311*	357*	+65	-10	12.7	14.0
/162	664	9	10	+6.7	-1.0	1.3	pk7: 15
#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
#3Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#4Trevor 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.4	2,938	57	40	228	322	349	+31	-19	7.6	7.6
/162	664	13	9	+7.1	-4.3	1.7	pk7: 8
#5Don Wert'63-'71 * career totals — 8 seasons, 4,346 PA	6.5	4,346	77	22	251*	323*	379*	+16	-20	6.5	7.2
/162	664	12	3	+2.5	-3.1	1.0	pk7: 8
#6Kevin Stocker'93-'00 * career totals — 8 seasons, 3,197 PA	4.8	3,197	23	45	241*	324*	337*	+34	+8	6.4	6.5
/162	664	5	9	+7.1	+1.8	1.3	pk7: 7

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	—	—	—	—	228/331/347	120	293	4	7	24%	11%	97	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
●Rafael Lantigua 2022 · A	24	45→55	45	53→55	45	223/288/353	130	296	13	20	28%	8%	81	-0.1	252/324/360	108	331	8	18	24%	9%	96	+1.0	259/335/353	95	336	7	18	23%	10%	95	+0.9
✕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
✕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
✕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
✕Nick Senzel 2018 · AA	23	54→58	46→50	49→50	45	257/312/398	142	336	11	13	26%	7%	100	+1.3	250/305/399	149	323	14	16	26%	7%	98	+1.2	254/311/396	143	315	13	17	23%	7%	99	+0.6
✕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
✕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
✕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
✕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
✕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
✕Joey Ortiz 2022 · AA	24	45→55	43→50	54→50	44	219/284/336	117	290	10	11	27%	7%	76	-0.4	249/305/388	139	305	12	10	21%	7%	95	+1.0	253/316/399	146	307	12	11	21%	7%	100	+1.1
✕Keaton Anthony 2024 · A	23	47→57	43→45	50→30	45	229/313/341	112	302	11	8	26%	7%	88	+0.5	265/323/379	114	334	10	3	22%	7%	100	+1.3	275/333/395	120	341	11	1	21%	7%	105	+1.1
●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

Daniel Dickinson

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps