Nico Hoerner — OGILVIE

Nico Hoerner2B Chicago Cubs

Age 29 R/R 5'11" / 200 lbs MLB BB +5%HR -4% Svc 7.000 · Ctrl thru 2032 peak 5.3 · 2026

wRC+†vL 164125vR 103

AVG/OBP/SLG.288 / .345 / .391

PA649

HR9

SB36

K%10

BB%6

xwOBA.340

Barrel%3.4%

MLB%100%

Scouting · now → future

HIT

60→60

PWR

35→35

SPD

60→60

EYE

45→45

trajectory · 10 yrs

3.6peak

2027

Contract

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

Status FA

MLB Debut 2019

Service 7.000 yrs.days

Team Control Through 2032

First FA Year 2033

NTC

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$12M	+5.3	$42M	+$30M
2029	Ext / FA-deal	$2M	+3.5	$31M	+$28M
2030	Ext / FA-deal	$2M	+2.9	$26M	+$24M
2031	Ext / FA-deal	$2M	+2.2	$20M	+$18M
2032	Ext / FA-deal	$2M	+1.5	$14M	+$12M
Totals		$22M		$134M	+$112M

Career Projections (MLE)

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	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
2018	21	INTL	3 teams	126	111	32	6	3	4	11	5	3	3	1	.288	.368	.505	.873	.216	.272	4	9	.362	135	+5	+0	+0	+0	+4	0.9
2019	22	AA	3 teams	397	374	91	16	3	6	17	54	4	8	4	.243	.284	.350	.634	.107	.269	14	4	.272	67	-15	+0	+3	+4	+11	0.4
2020	23	MLB	Chicago Cubs	126	109	25	4	0	0	12	24	3	3	2	.229	.323	.266	.589	.037	.287	19	10	.265	61	-6	-0	+5	+0	+4	0.4
2021	24	MLB	2 teams	198	175	49	11	0	0	17	32	5	5	3	.280	.360	.343	.703	.063	.340	16	9	.309	94	-1	-0	+9	+1	+6	1.4
2022	25	MLB	Chicago Cubs	517	481	130	23	4	11	28	57	6	20	2	.270	.318	.403	.722	.133	.287	11	5	.309	94	-3	+3	+13	+6	+15	3.4
2023	26	MLB	Chicago Cubs	688	619	176	26	5	9	49	83	14	43	7	.284	.350	.386	.737	.102	.314	12	7	.327	109	+7	+6	+11	+2	+19	4.7
2024	27	MLB	Chicago Cubs	641	582	164	38	1	7	44	66	12	31	6	.282	.345	.387	.731	.105	.307	10	7	.325	107	+5	+4	+8	+2	+18	3.8
2025	28	MLB	Chicago Cubs	649	599	178	28	3	7	39	49	7	29	6	.297	.347	.389	.736	.092	.313	8	6	.326	108	+6	+3	+13	+2	+18	4.3
▸ 2026 Season (actual · ROS · total)
2026	29	MLB	Chicago Cubs	118	102	31	7	0	4	11	12	3	7	0	.304	.388	.490	.878	.186	.307	10	9	.380	149	+6	+1	+2	+0	+3	1.4
ROS	29	MLB	CHC	531	479	139	25	2	9	37	52	10	29	5	.290	.354	.407	.761	.117	.309	10	7	.342	120	+12	+4	+5	+2	+15	3.9
TOT	29	MLB	CHC	649	581	170	32	2	13	48	64	13	36	5	.293	.360	.422	.781	.129	.308	10	7	.349	125	+19	+5	+7	+2	+18	5.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	30	MLB	CHC	637	576	166	30	2	11	45	50	11	33	5	.288	.351	.405	.756	.116	.299	8	7	.339	118	+13	+5	+4	+2	+18	4.3
2028	31	MLB	CHC	622	562	161	29	2	10	44	51	11	29	4	.286	.350	.399	.749	.112	.298	8	7	.335	115	+10	+4	+3	+2	+18	3.9
2029	32	MLB	CHC	603	545	154	27	2	9	42	53	11	26	3	.283	.346	.389	.735	.106	.297	9	7	.330	111	+7	+4	+3	+2	+17	3.4
2030	33	MLB	CHC	573	518	144	25	2	8	40	54	10	23	2	.278	.342	.380	.722	.102	.295	9	7	.324	106	+4	+4	+2	+2	+16	2.8
2031	34	MLB	CHC	524	474	130	22	2	7	36	54	9	19	1	.274	.337	.373	.711	.099	.294	10	7	.317	101	+1	+3	+0	+2	+15	2.2
2032	35	MLB	CHC	468	425	112	19	1	5	32	53	8	16	1	.264	.327	.348	.675	.085	.292	11	7	.310	95	-3	+3	-1	+2	+13	1.4
2033	36	MLB	CHC	406	369	96	16	1	4	27	50	7	13	0	.260	.323	.341	.664	.081	.289	12	7	.301	88	-5	+3	-2	+1	+12	0.8
2034	37	MLB	CHC	340	309	79	13	1	3	22	45	6	11	0	.256	.318	.333	.651	.078	.286	13	6	.291	81	-7	+2	-4	+1	+10	0.2
2035	38	MLB	CHC	270	247	61	9	1	2	17	38	4	8	0	.247	.306	.316	.622	.069	.282	14	6	.280	73	-8	+2	-5	+1	+8	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			8316	7554	2087	367	35	112	559	870	141	349	52	.276	.338	.379	.716	.102	.298	10	7	.319	102	+21	+49	+67	+36	+236	41.7
/ 162G	—			650	590	164	29	3	9	44	68	11	27	4	.278	.340	.383	.723	.105	.300	10	7	.319	102	+2	+4	+5	+3	+18	3.3

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2018	21	A	South Bend Cubs	17	15	6	1	0	1	2	1	0	0	0	.400	.471	.667	1.137	.267	.385	6	12	.493	235	+3	+0	—	—	+0	0.3
2018	21	ROK	AZL Cubs 1	15	12	3	1	1	0	2	0	1	2	0	.250	.400	.500	.900	.250	.250	0	13	.396	161	+1	+0	—	—	+0	0.2
2018	21	INTL	Mesa Solar Sox	94	89	30	4	4	1	2	16	2	1	1	.337	.366	.506	.871	.169	.397	17	2	.378	148	+5	-0	—	—	+3	0.8
2019	22	MLB	Chicago Cubs	82	78	22	1	1	3	3	11	0	0	0	.282	.309	.436	.745	.154	.292	13	4	.325	107	+1	+0	+3	+4	+2	1.0
2019	22	AA	Tennessee Smokies	294	268	76	16	3	3	21	31	4	8	4	.284	.345	.399	.744	.116	.311	11	7	.334	113	+4	+0	—	—	+8	1.3
2019	22	ROK	AZL Cubs 2	21	20	8	1	0	0	1	1	0	0	0	.400	.429	.450	.879	.050	.421	5	5	.396	161	+1	+0	—	—	+1	0.2
2020	23	MLB	Chicago Cubs	126	108	24	4	0	0	12	24	3	3	2	.222	.315	.259	.574	.037	.279	19	10	.268	64	-5	-0	+5	+0	+4	0.4
2021	24	MLB	Chicago Cubs	170	149	45	10	0	0	17	25	3	5	3	.302	.385	.369	.754	.067	.360	15	10	.345	122	+4	-0	+9	+1	+5	1.8
2021	24	AAA	Iowa Cubs	28	26	7	1	0	0	0	6	2	0	0	.269	.321	.308	.629	.038	.350	21	0	.292	82	-1	+0	—	—	+1	0.0
2022	25	MLB	Chicago Cubs	517	481	135	22	5	10	28	57	6	20	2	.281	.328	.410	.738	.129	.300	11	5	.328	109	+6	+3	+13	+6	+15	4.3
2023	26	MLB	Chicago Cubs	688	619	175	27	4	9	49	83	14	43	7	.283	.349	.383	.732	.100	.312	12	7	.329	110	+8	+6	+11	+2	+19	4.8
2024	27	MLB	Chicago Cubs	641	582	159	35	1	7	44	66	12	31	6	.273	.337	.373	.710	.100	.297	10	7	.321	104	+3	+4	+8	+2	+18	3.6
2025	28	MLB	Chicago Cubs	649	599	178	29	4	7	39	49	7	29	6	.297	.347	.394	.741	.097	.313	8	6	.332	112	+9	+3	+13	+2	+18	4.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			2873	2616	738	128	15	36	192	315	45	131	26	.282	.342	.384	.725	.102	.307	11	7	.326	108	+25	+16	+62	+18	+81	20.6

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
Nico Hoerner (OGILVIE)	29	60	35	60	45	.289/.352/.407	.118	.300	11	35	7%	7%	120	+3.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Ryan Freel 2005 · MLB	29	57→59	41→45	59→65	58	.268/.355/.375	.107	.307	7	31	14%	10%	112	+2.6	.265/.353/.374	.109	.312	7	37	16%	10%	111	+2.5	.262/.348/.369	.107	.309	7	41	16%	10%	106	+1.6
✕Jason Bartlett 2010 · MLB	30	60→65	43→45	58→55	52	.289/.352/.412	.123	.328	9	25	15%	8%	120	+3.1	.259/.325/.361	.102	.306	6	19	16%	8%	95	+1.4	.246/.314/.325	.079	.292	3	18	16%	8%	78	+0.2
●Esteban German 2007 · MLB	29	59→61	40→45	58→60	55	.279/.355/.385	.106	.331	6	24	17%	9%	114	+2.7	.266/.343/.371	.105	.317	5	20	16%	10%	106	+2.2	.265/.344/.355	.091	.318	4	25	16%	10%	100	+1.1
●Rafael Furcal 2007 · MLB	29	58→62	46→50	60	57	.285/.351/.428	.143	.309	12	31	12%	9%	124	+3.4	.281/.347/.404	.123	.310	10	23	12%	9%	115	+2.8	.289/.358/.427	.138	.323	10	20	13%	10%	121	+2.2
●Ryan Theriot 2008 · MLB	28	57→65	38→40	57→55	54	.270/.325/.360	.090	.297	4	25	11%	8%	95	+1.4	.280/.344/.353	.073	.314	4	21	11%	9%	101	+1.8	.281/.346/.341	.059	.317	3	19	11%	8%	95	+1.5
●Julio Lugo 2006 · MLB	30	58→62	43→45	55→60	54	.278/.343/.398	.120	.314	9	23	14%	8%	112	+2.6	.264/.328/.382	.118	.299	9	27	14%	8%	102	+1.9	.252/.320/.362	.110	.287	9	29	15%	9%	92	+0.9
●Eduardo Núñez 2017 · MLB	30	54→62	48→50	57→60	46	.269/.308/.413	.145	.294	16	30	15%	5%	102	+1.9	.272/.305/.411	.139	.295	15	23	13%	4%	101	+1.8	.266/.293/.391	.125	.288	13	18	13%	3%	89	+0.6
●Coco Crisp 2009 · MLB	29	55→59	43→50	57→65	53	.264/.324/.385	.120	.298	9	26	15%	8%	102	+1.8	.261/.329/.395	.134	.291	11	36	14%	9%	106	+2.2	.254/.333/.409	.155	.268	16	29	12%	11%	107	+2.0
✕Craig Gentry 2014 · MLB	30	56→55	40	62→60	51	.263/.338/.363	.099	.313	5	35	17%	8%	102	+1.9	.241/.305/.316	.075	.297	5	31	19%	7%	76	+0.0	.224/.290/.298	.074	.287	4	29	22%	7%	62	-0.3
✕Eduardo Arredondo 2014 · AAA	29	60→69	38→45	56→60	49	.284/.322/.361	.077	.310	5	32	10%	5%	93	+1.3	.278/.319/.354	.076	.295	3	22	7%	5%	90	+1.0	.285/.326/.351	.066	.300	2	20	5%	5%	89	+0.7
●José Reyes 2012 · MLB	29	61→68	45→55	63→65	53	.295/.342/.432	.137	.312	9	32	9%	7%	121	+3.2	.286/.340/.421	.135	.304	10	29	9%	8%	117	+2.9	.280/.334/.404	.124	.299	10	29	10%	7%	104	+2.0
●Jerry Hairston Jr. 2005 · MLB	29	57→55	40→50	52→55	55	.269/.341/.373	.104	.292	6	24	10%	8%	106	+2.2	.245/.316/.345	.100	.273	6	16	12%	7%	89	+0.9	.263/.322/.403	.140	.282	14	15	12%	7%	102	+1.4
●Chone Figgins 2007 · MLB	29	58→68	42→45	64→65	54	.276/.339/.389	.113	.315	7	41	15%	9%	108	+2.3	.288/.364/.381	.093	.341	5	40	15%	11%	117	+2.9	.296/.383/.376	.080	.356	3	40	16%	12%	120	+3.1
●Jean Segura 2018 · MLB	28	59→64	45→50	54→60	46	.289/.333/.421	.131	.324	12	24	15%	5%	115	+2.7	.289/.335/.415	.126	.321	11	16	13%	6%	114	+2.7	.285/.333/.404	.119	.315	10	13	13%	6%	105	+1.7
●Shane Victorino 2010 · MLB	29	59→60	47→55	60	54	.286/.348/.437	.151	.306	12	28	11%	8%	125	+3.5	.266/.333/.429	.163	.285	14	26	12%	8%	117	+2.9	.261/.328/.418	.157	.279	15	27	12%	7%	109	+2.4
●David Eckstein 2003 · MLB	28	59→64	39→40	52→55	53	.278/.348/.367	.089	.293	6	20	8%	7%	108	+2.3	.269/.337/.351	.082	.287	5	16	8%	7%	98	+1.6	.291/.353/.368	.076	.306	4	10	6%	6%	107	+2.2
●Chad Meyers 2006 · AAA	30	56→63	46→50	57→60	54	.274/.352/.416	.142	.310	12	30	16%	9%	122	+3.3	.276/.360/.393	.117	.317	9	31	15%	9%	119	+3.1	.297/.391/.391	.094	.341	5	39	13%	11%	127	+2.5
●Edgar Renteria 2004 · MLB	28	61→68	46→45	54→55	56	.298/.359/.434	.136	.316	12	23	10%	9%	129	+3.7	.288/.345/.414	.126	.318	10	16	12%	8%	118	+3.0	.294/.357/.422	.128	.332	11	12	14%	9%	122	+3.5
✕Nick Van Stratten 2016 · AAA	31	62→59	41→40	56→55	47	.297/.337/.399	.102	.332	8	23	13%	5%	110	+2.4	.269/.307/.358	.089	.298	6	21	11%	5%	87	+0.8	.276/.310/.344	.068	.301	2	24	9%	4%	81	+0.2
★Ichiro Suzuki 2003 · MLB	29	67→76	41→45	58→60	54	.324/.376/.433	.108	.344	7	31	8%	7%	134	+4.1	.326/.371/.438	.112	.349	9	27	9%	6%	134	+4.1	.327/.372/.439	.112	.349	10	28	9%	6%	121	+3.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)