Daniel Dickinson

Daniel Dickinson2B Wisconsin Timber Rattlers

Age 22 R/R 6'0" / 180 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION518 act + 9 ros · stats below = ROS only

showingROS

wRC+†101

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP303

ISO125

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$36M 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
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+1.0	$6M	+$6M
2030	Pre-Arb	$0.9M	+1.1	$6M	+$6M
2031	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2032	Arb-1	$4M	+1.0	$5M	+$3M
2033	Arb-2	$6M	+0.9	$2M	+$0.0M (cut)
2034	Arb-3	$8M	+0.7	$2M	+$0.0M (cut)
Totals		$7M		$28M	+$20M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	22	A+ MLE	MIL	—	518	432	100	21	2	9	64	140	15	61	14	231	350	352	702	120	318	27	12	310	96	-2	+7	+0	+2	+11	1.8
▸ 2026 season
YTD	22	A+ RAW	MIL	—	499	390	110	25	2	11	88	101	14	60	13	282	431	441	872	159	352	20	18	391	96	—	—	—	—	—	—
YTD	22	AA RAW	MIL	—	19	16	5	1	0	0	2	3	1	1	1	312	421	375	796	62	385	16	11	370	96	—	—	—	—	—	—
ROS	22	A+ MLE	MIL	0%	9	8	1	0	0	0	1	2	0	1	0	125	222	125	347		305	22	11	318	101	+0	+0	-0	+0	+0	0.0
TOT	22	A+ MLE	MIL	—	527	440	101	21	2	9	65	142	15	62	14	230	348	348	696	118	315	27	12	310	96	-2	+7	-0	+2	+11	1.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	MIL	35%	559	477	111	23	2	11	66	142	11	23	5	233	339	358	698	126	303	25	12	318	101	+1	+3	-5	+2	+12	1.3
2028	24	MLB MLE	MIL	51%	604	516	121	25	2	13	71	151	12	19	4	234	341	366	707	132	303	25	12	321	104	+3	+2	-5	+2	+13	1.5
2029	25	MLB MLE	MIL	60%	615	527	125	25	3	14	71	152	12	16	4	237	341	376	717	139	302	25	12	323	105	+4	+2	-5	+2	+13	1.6
2030	26	MLB MLE	MIL	65%	627	537	128	26	3	14	73	154	12	14	3	238	342	376	719	138	302	25	12	324	105	+4	+2	-5	+2	+14	1.7
2031	27	MLB MLE	MIL	66%	629	538	128	26	3	14	74	155	12	12	3	238	343	375	718	138	302	25	12	324	105	+4	+1	-5	+2	+14	1.6
2032	28	MLB MLE	MIL	67%	626	535	125	25	2	14	74	155	12	11	3	234	340	366	706	133	302	25	12	323	105	+4	+1	-6	+2	+14	1.5
2033	29	MLB MLE	MIL	66%	617	527	123	25	2	14	73	154	12	10	2	233	340	368	708	135	301	25	12	321	104	+3	+1	-6	+2	+13	1.3
2034	30	MLB MLE	MIL	65%	607	519	120	24	2	13	72	153	11	9	2	231	337	360	698	129	300	25	12	319	102	+1	+1	-7	+2	+13	1.1
2035	31	MLB MLE	MIL	65%	594	508	115	23	2	12	70	152	11	8	2	226	333	350	683	124	298	26	12	315	99	-0	+1	-8	+2	+13	0.8
2036	32	MLB MLE	MIL	65%	576	492	110	22	2	11	68	150	11	8	2	224	331	343	674	120	295	26	12	310	96	-3	+1	-8	+2	+12	0.4
2037	33	MLB MLE	MIL	64%	546	467	103	20	2	10	64	145	10	7	2	221	327	336	663	116	291	27	12	303	91	-6	+1	-9	+2	+12	0.0
2038	34	MLB MLE	MIL	60%	498	428	91	17	2	9	58	135	9	6	1	213	319	325	644	112	285	27	12	295	86	-9	+1	-9	+2	+11	-0.4
2027	23	MLB CTX	MIL	35%	196	167	39	8	1	4	23	50	4	8	2	234	340	365	705	132	301	26	12	303	101	+0	+1	-2	+1	+4	0.5
2028	24	MLB CTX	MIL	51%	306	261	61	12	1	7	36	76	6	10	2	234	340	368	708	134	301	25	12	307	104	+1	+1	-2	+1	+7	0.8
2029	25	MLB CTX	MIL	60%	368	315	75	15	2	9	43	91	7	10	2	238	342	384	727	146	301	25	12	310	105	+2	+1	-3	+1	+8	1.0
2030	26	MLB CTX	MIL	65%	408	350	83	16	2	10	47	100	8	9	2	237	341	380	721	143	300	25	12	311	105	+3	+1	-3	+1	+9	1.1
2031	27	MLB CTX	MIL	66%	417	357	85	17	2	10	49	103	8	8	2	238	343	381	724	143	300	25	12	311	105	+3	+1	-3	+1	+9	1.1
2032	28	MLB CTX	MIL	67%	420	360	85	17	2	10	49	104	8	7	2	236	341	378	718	142	300	25	12	310	105	+2	+1	-4	+1	+9	1.0
2033	29	MLB CTX	MIL	66%	408	349	81	16	2	9	48	102	8	7	2	232	338	367	705	135	299	25	12	308	104	+2	+1	-4	+1	+9	0.9
2034	30	MLB CTX	MIL	65%	397	339	79	16	1	9	47	100	8	6	1	233	340	366	706	133	298	25	12	306	102	+1	+1	-5	+1	+9	0.7
2035	31	MLB CTX	MIL	65%	385	329	75	15	1	8	46	98	7	5	1	228	335	353	688	125	296	25	12	302	99	-0	+1	-5	+1	+8	0.5
2036	32	MLB CTX	MIL	65%	372	318	71	14	1	8	44	97	7	5	1	223	331	349	680	126	293	26	12	297	96	-2	+1	-5	+1	+8	0.3
2037	33	MLB CTX	MIL	64%	351	301	66	13	1	7	41	93	6	4	1	219	325	339	664	120	289	26	12	290	91	-4	+0	-6	+1	+8	0.0
2038	34	MLB CTX	MIL	60%	298	256	54	10	1	5	35	81	5	3	1	211	318	316	634	105	284	27	12	282	86	-5	+0	-5	+1	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4326	3702	854	169	17	96	508	1095	82	82	19	231	336	363	700	133	299	25	12	304	101	+3	+9	-48	+15	+94	7.5
/ 162G	—	A+C		—	650	556	128	25	3	14	76	165	12	12	3	230	335	362	696	131	300	25	12	304	101	+0	+1	-7	+2	+14	1.1
Career	—	MLE		—	7107	6079	1401	281	27	149	835	1800	135	144	33	230	336	359	695	129	301	25	12	317	101	+5	+16	-77	+25	+154	12.5
/ 162G	—	MLE		—	650	556	128	26	2	14	76	165	12	13	3	230	335	360	695	129	300	25	12	317	101	+0	+1	-7	+2	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ian Desmondlast yr '19 career totals — 11 seasons, 5,944 PA	9.0	5,944	181	181	263	315	427	+30	-4	25.8	25.0
/162	664	20	20	+3.3	-0.4	2.9	pk7: 24
#2Jason Kipnislast yr '20 career totals — 10 seasons, 4,984 PA	7.5	4,984	126	136	260	333	416	+18	-11	22.6	21.9
/162	664	17	18	+2.4	-1.4	3.0	pk7: 21
#3Kelly Johnsonlast yr '16 career totals — 11 seasons, 5,139 PA	7.7	5,139	155	87	251	330	422	+8	-3	22.3	21.3
/162	664	20	11	+1.0	-0.4	2.9	pk7: 20
#4Felipe Lopezlast yr '11 career totals — 11 seasons, 4,864 PA	7.3	4,864	90	124	264	333	391	+31	-19	17.7	18.1
/162	664	12	17	+4.2	-2.6	2.4	pk7: 19
#5Didi 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	6.5	4,328	91	83	232	334	361	+44	-22	17.5	15.1
/162	664	14	13	+6.8	-3.4	2.7	pk7: 13
#6Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16

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)	22	30→52	35→40	40→44	50	228/339/349	121	305	6	26	26%	12%	101	+0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Leo Jiménez 2023 · A	22	46→49	40→45	48→45	49	216/322/312	96	283	8	9	24%	9%	86	+0.3	226/314/335	109	285	10	7	23%	7%	88	+0.4	228/319/335	107	286	10	5	22%	7%	87	+0.2
✕Nick Senzel 2017 · A	22	48→57	45→50	51→50	46	230/295/364	133	302	10	16	26%	8%	86	+0.3	251/305/391	140	330	12	14	26%	7%	96	+1.0	256/310/402	146	332	13	16	26%	7%	97	+0.7
●Matt McLain 2022 · A	22	45→55	44→55	53→55	48	220/298/335	115	296	11	20	28%	9%	81	-0.1	235/317/411	176	321	19	22	30%	9%	106	+1.8	231/315/396	166	310	19	23	30%	9%	99	+1.1
✕Connor Norby 2022 · A	22	48→49	42→55	48→50	45	226/302/334	109	325	10	11	31%	9%	82	+0.0	234/295/389	155	306	18	11	28%	7%	92	+0.7	239/312/395	156	325	18	14	30%	8%	98	+1.0
✕Austin Martin 2022 · AA	23	51→52	40	51→60	51	238/344/333	95	319	6	14	25%	10%	99	+1.3	228/320/311	83	283	5	25	20%	9%	85	+0.2	257/354/339	82	314	4	22	17%	11%	101	+0.8
✕Jeferson Morales 2022 · A	23	41→48	47→45	48→50	48	209/292/350	141	261	14	9	25%	8%	83	+0.1	204/281/333	129	269	13	9	28%	7%	75	-0.5	221/295/347	125	275	11	8	22%	7%	80	-0.1
●Sean Rodríguez 2006 · A	21	43→49	45→60	49→50	52	213/296/343	130	256	12	15	22%	10%	82	+0.0	230/299/393	163	295	19	11	27%	7%	95	+1.0	234/307/425	191	291	23	12	27%	7%	102	+1.1
✕Mark Zagunis 2016 · A	23	49→53	42→45	46→50	52	234/325/348	114	300	9	11	24%	10%	95	+0.9	236/324/363	127	310	11	9	25%	10%	97	+1.1	231/323/355	123	309	12	9	27%	10%	92	+0.5
✕Adrian Abreu 2013 · A	22	45	40	53→55	53	218/296/306	88	253	9	19	18%	9%	74	-0.6	203/280/286	83	264	6	13	23%	9%	63	-1.3	141/245/214	74	184	4	14	24%	11%	32	-0.7
✕Juan Apodaca 2008 · A	22	45→55	44→45	48→40	44	223/275/334	110	276	13	5	24%	6%	72	-0.7	221/281/315	94	294	9	4	27%	7%	70	-0.9	275/342/379	104	339	9	3	20%	8%	104	+0.9
●Graham Pauley 2023 · A	22	45→51	46→55	48→50	52	226/305/358	133	270	13	12	21%	9%	89	+0.5	230/298/389	159	277	18	11	23%	8%	93	+0.8	222/292/383	160	263	19	11	23%	8%	87	+0.3
●Matt Duffy 2014 · A	23	51→61	44→45	53→50	50	251/310/372	122	289	12	16	18%	8%	93	+0.8	277/324/389	112	329	9	15	18%	6%	102	+1.5	283/337/387	104	329	9	12	16%	7%	104	+1.4
●Tyler Black 2023 · A	23	47→52	41→50	50→60	54	222/318/324	102	296	7	14	25%	11%	86	+0.3	235/326/374	139	303	12	30	24%	10%	100	+1.3	232/326/372	140	301	12	35	25%	10%	97	+0.8
✕Derek Norris 2011 · A	22	41→51	50→55	44→50	52	209/313/362	153	287	18	6	32%	12%	94	+0.9	209/299/374	165	271	20	11	29%	10%	91	+0.7	258/336/412	153	316	16	5	22%	10%	109	+1.5
✕Jesus Rodriguez 2023 · A	21	49→55	41→45	50	49	236/301/348	112	284	7	12	19%	7%	84	+0.2	250/311/362	112	306	9	14	20%	7%	91	+0.7	256/318/360	105	310	9	16	19%	7%	92	+0.5
✕Noah Cardenas 2023 · A	23	48→46	45	46→45	56	228/342/357	129	298	12	9	25%	12%	103	+1.6	204/305/305	101	280	8	8	28%	11%	78	-0.3	184/290/277	92	253	8	6	28%	11%	63	-0.7
✕Luis Alvarez 2011 · A	21	47	42→45	48→45	45	228/296/337	109	289	9	6	24%	7%	80	-0.1	219/274/328	109	275	11	5	24%	5%	70	-0.8	212/264/322	110	252	12	1	21%	4%	62	-0.3
✕Juan Mora 2022 · A	22	46	44→45	55	46	225/303/346	121	300	11	14	27%	8%	86	+0.3	225/283/333	108	304	9	9	28%	5%	75	-0.5	222/278/328	106	295	10	8	27%	5%	70	-0.4
●David Freitas 2012 · A	23	47→57	45	45→40	51	233/309/354	122	288	13	3	23%	9%	90	+0.6	224/288/342	118	273	12	2	22%	7%	79	-0.2	273/334/387	114	329	10	0	19%	7%	103	+0.8
●Zach Neto 2023 · AA	22	49→48	46→60	49→55	42	243/302/374	131	307	13	12	25%	5%	92	+0.7	246/317/424	178	299	21	19	25%	6%	109	+2.0	246/317/445	199	306	24	25	27%	7%	110	+2.1

Career Stats + Projections

Career Comps

Career Path Comps