Kris Bryant — OGILVIE

Kris BryantDH Colorado Rockies

INJURED · Injured 60-Day (D60)

Age 34 R/R 6'5" / 240 lbs MLB H +10%K -4% Svc 10.994 · Ctrl thru 2028 peak 0.1 · 2026

wRC+†vL -2283vR 95

AVG/OBP/SLG.221 / .297 / .346

PA48

HR1

K%27

BB%7

MLB%100%

Scouting · now → future

HIT

35→35

PWR

40→40

SPD

40→40

EYE

45→45

Contract

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

Status FA

MLB Debut 2015

Service 10.994 yrs.days

Team Control Through 2028

First FA Year 2029

NTC

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$26M	+0.1	$0.4M	-$26M
2027	Ext	beyond projection horizon · no WAR estimate
2028	Ext	beyond projection horizon · no WAR estimate
Totals		$26M		$0.4M	-$26M

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
2013	21	INTL	2 teams	154	146	36	9	2	9	5	57	2	4	0	.247	.281	.521	.802	.274	.333	37	3	.344	121	+4	+1	+0	+1	+4	1.0
2014	22	AAA	2 teams	594	527	131	24	1	37	51	212	14	15	4	.249	.331	.509	.840	.260	.336	36	9	.360	134	+23	+1	+0	+2	+17	4.4
2015	23	MLB	2 teams	683	588	164	34	5	27	78	210	10	15	4	.279	.373	.491	.864	.213	.383	31	11	.366	138	+29	+1	+4	+2	+19	5.7
2016	24	MLB	Chicago Cubs	699	603	179	36	2	43	75	154	18	8	5	.297	.391	.577	.968	.280	.333	22	11	.410	172	+57	-0	+7	+2	+20	8.7
2017	25	MLB	Chicago Cubs	665	549	161	38	3	28	95	128	15	7	5	.293	.411	.526	.938	.233	.333	19	14	.400	164	+48	-1	+3	+2	+19	7.3
2018	26	MLB	Chicago Cubs	457	389	105	28	2	14	48	107	17	2	4	.270	.374	.460	.835	.190	.336	23	11	.358	132	+17	-1	-1	+2	+13	3.0
2019	27	MLB	Chicago Cubs	634	543	147	33	1	33	74	145	15	4	0	.271	.373	.517	.891	.247	.311	23	12	.383	152	+37	+1	-3	+2	+18	5.6
2020	28	MLB	Chicago Cubs	147	131	28	5	1	4	12	40	4	0	0	.214	.299	.359	.658	.145	.276	27	8	.291	81	-3	+0	-2	+1	+4	-0.0
2021	29	MLB	San Francisco Giants	586	513	135	30	2	27	62	135	9	10	2	.263	.353	.487	.840	.224	.306	23	11	.353	129	+19	+1	-8	+2	+17	3.1
2022	30	MLB	2 teams	203	181	47	12	0	4	18	37	2	0	0	.260	.333	.392	.726	.133	.303	18	9	.321	104	+1	+0	-3	-2	+6	0.1
2023	31	MLB	Colorado Rockies	335	300	69	10	0	10	29	68	6	0	0	.230	.310	.363	.674	.133	.266	20	9	.299	87	-5	+0	-7	-4	+9	-0.6
2024	32	MLB	2 teams	188	165	35	6	0	3	14	58	8	0	0	.212	.305	.303	.608	.091	.305	31	7	.278	71	-6	+0	-4	-2	+5	-0.7
2025	33	MLB	Colorado Rockies	41	39	6	2	0	0	2	13	0	0	0	.154	.195	.205	.400	.051	.231	32	5	.170	-12	-5	+0	+0	+0	+1	-0.4
▸ 2026 Season
2026	34	MLB	COL	48	43	10	2	0	1	4	13	1	0	0	.233	.312	.349	.661	.116	.290	27	8	.293	83	-1	+0	-0	+0	+1	0.1
▸ Career Totals (MLE all levels + projections)
Career	—			5434	4717	1253	269	19	240	567	1377	121	65	24	.266	.359	.483	.842	.218	.324	25	10	.362	135	+214	+3	-14	+9	+154	37.4
/ 162G	—			650	564	150	32	2	29	68	165	14	8	3	.266	.359	.484	.843	.218	.324	25	10	.362	135	+26	+0	-2	+1	+18	4.5

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
2013	21	A+	Daytona Cubs	62	57	19	5	1	5	3	17	2	1	0	.333	.387	.719	1.106	.386	.400	27	5	.472	219	+8	+0	—	—	+2	1.1
2013	21	INTL	Mesa Solar Sox	92	77	28	8	1	6	14	23	0	3	0	.364	.462	.727	1.189	.364	.449	25	15	.499	240	+15	+1	—	—	+3	1.8
2014	22	AAA	Iowa Cubs	297	244	72	14	1	21	43	85	9	7	2	.295	.419	.619	1.038	.324	.367	29	14	.446	199	+33	+1	—	—	+8	4.3
2014	22	AA	Tennessee Smokies	297	248	88	20	0	22	43	77	5	8	2	.355	.459	.702	1.161	.347	.440	26	14	.494	236	+46	+1	—	—	+8	5.6
2015	23	MLB	Chicago Cubs	650	559	154	31	5	26	77	199	9	13	4	.275	.372	.488	.860	.213	.378	31	12	.378	147	+35	+1	+4	+2	+18	6.1
2015	23	AAA	Iowa Cubs	33	28	9	1	0	3	2	9	1	2	0	.321	.387	.679	1.066	.357	.333	27	6	.430	187	+3	+0	—	—	+1	0.5
2016	24	MLB	Chicago Cubs	699	603	176	35	3	39	75	154	18	8	5	.292	.386	.554	.940	.262	.332	22	11	.409	171	+56	-0	+7	+2	+20	8.7
2017	25	MLB	Chicago Cubs	665	549	162	38	4	29	95	128	15	7	5	.295	.413	.537	.950	.242	.334	19	14	.414	175	+56	-1	+3	+2	+19	8.1
2018	26	MLB	Chicago Cubs	457	389	106	28	3	13	48	107	17	2	4	.272	.377	.460	.837	.188	.342	23	11	.372	143	+22	-1	-1	+2	+13	3.5
2019	27	MLB	Chicago Cubs	634	543	153	35	1	31	74	145	15	4	0	.282	.383	.521	.904	.239	.331	23	12	.397	162	+44	+1	-3	+2	+18	6.4
2020	28	MLB	Chicago Cubs	147	131	27	5	1	4	12	40	4	0	0	.206	.293	.351	.644	.145	.264	27	8	.293	82	-3	+0	-2	+1	+4	0.0
2021	29	MLB	San Francisco Giants	586	513	136	32	2	25	62	135	9	10	2	.265	.354	.481	.836	.216	.313	23	11	.368	140	+27	+1	-8	+2	+17	3.9
2022	30	MLB	Colorado Rockies	181	160	49	12	0	5	17	27	2	0	0	.306	.380	.475	.855	.169	.338	15	9	.376	146	+9	+0	-3	-2	+5	0.9
2022	30	AAA	Albuquerque Isotopes	22	20	3	2	0	0	2	8	0	0	0	.150	.227	.250	.477	.100	.250	36	9	.221	28	-2	+0	—	—	+1	-0.1
2023	31	MLB	Colorado Rockies	335	300	70	10	0	10	29	68	6	0	0	.233	.313	.367	.680	.133	.270	20	9	.309	95	-2	+0	-7	-4	+9	-0.3
2024	32	MLB	Colorado Rockies	155	133	29	5	0	2	13	48	8	0	0	.218	.325	.301	.625	.083	.321	31	8	.293	83	-3	+0	-4	-2	+4	-0.5
2024	32	AAA	Albuquerque Isotopes	33	31	9	1	0	2	2	8	0	0	0	.290	.333	.516	.849	.226	.333	24	6	.372	143	+2	+0	—	—	+1	0.3
2025	33	MLB	Colorado Rockies	41	39	6	2	0	0	2	13	0	0	0	.154	.195	.205	.400	.051	.231	32	5	.185	0	-5	+0	+0	+0	+1	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4550	3919	1068	233	19	184	504	1064	103	44	20	.273	.370	.483	.853	.210	.328	23	11	.376	146	+237	+1	-14	+6	+129	36.6

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
Kris Bryant (OGILVIE)	34	35	40	40	45	.221/.297/.346	.125	.290	1	0	27%	7%	83	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt McBride 2019 · MLB	34	40→50	50→55	42→40	45	.211/.268/.372	.161	.245	18	4	23%	6%	76	+0.0	.216/.266/.391	.175	.257	23	6	26%	6%	80	+0.4	.184/.222/.370	.186	.199	30	0	27%	4%	53	-0.4
✕Nick Green 2013 · MLB	34	43→47	46→50	41→45	41	.219/.266/.354	.135	.264	14	5	23%	4%	70	-0.3	.206/.253/.324	.118	.265	13	6	27%	4%	56	-1.3	.168/.216/.255	.087	.223	11	1	29%	4%	20	-2.6
✕Shawn Wooten 2006 · MLB	34	46→45	47→50	38→30	46	.230/.284/.359	.128	.256	16	3	18%	6%	79	+0.3	.215/.262/.313	.098	.261	10	3	21%	5%	57	-1.2	.197/.245/.263	.066	.249	6	1	22%	5%	35	-1.1
●Joshua Rodriguez 2019 · AAA	34	41→51	44→50	46→50	42	.205/.265/.318	.113	.290	13	6	33%	7%	60	-1.0	.251/.303/.416	.165	.318	21	6	27%	7%	102	+1.8	.264/.319/.440	.177	.325	25	3	26%	7%	111	+2.1
✕Ryan Roberts 2015 · MLB	34	46→52	44→50	41→55	47	.229/.283/.344	.115	.276	12	8	22%	7%	74	-0.1	.234/.285/.367	.133	.268	14	4	18%	7%	81	+0.4	.236/.288/.372	.137	.259	15	0	16%	7%	82	+0.4
✕Bobby Wilson 2017 · MLB	34	44→51	41→50	39→40	43	.219/.265/.309	.091	.274	10	3	24%	6%	57	-1.2	.203/.257/.324	.121	.255	15	3	26%	6%	58	-1.2	.174/.231/.288	.115	.214	15	0	26%	6%	36	-0.9
✕Brendan Ryan 2016 · MLB	34	43→53	39→40	43→55	44	.207/.264/.292	.085	.267	6	6	24%	6%	53	-1.5	.207/.262/.285	.078	.278	5	9	26%	6%	50	-1.8	.196/.252/.258	.063	.261	3	9	25%	7%	35	-1.6
✕Chad Mottola 2006 · MLB	34	41→44	51→55	40→45	41	.218/.260/.378	.160	.253	20	5	23%	5%	74	-0.1	.224/.263/.377	.153	.270	18	8	24%	5%	75	-0.0	.224/.262/.376	.153	.268	18	8	24%	4%	70	-0.2
✕Valentino Pascucci 2013 · AAA	34	41→45	52→55	40→45	48	.212/.296/.376	.164	.302	21	2	35%	10%	89	+1.0	.219/.308/.390	.171	.317	23	4	35%	10%	98	+1.6	.205/.315/.394	.189	.279	29	0	36%	12%	98	+0.8
✕Collin Cowgill 2019 · AAA	33	40→50	44→50	45→55	41	.203/.258/.319	.116	.265	12	8	28%	6%	58	-1.2	.205/.272/.351	.146	.277	17	12	31%	7%	72	-0.2	.169/.254/.317	.148	.228	19	15	34%	7%	53	-0.7
✕Carlos M. Rodriguez 2016 · AAA	34	43→44	45→55	43→40	41	.214/.276/.333	.119	.297	14	4	32%	7%	69	-0.4	.220/.267/.343	.123	.316	14	4	33%	5%	67	-0.5	.211/.256/.336	.126	.313	14	0	36%	5%	58	-0.7
✕Jesus Alberto Vega 2016 · AAA	34	45	43→50	46→40	40	.222/.272/.332	.110	.300	12	5	29%	6%	66	-0.6	.216/.263/.315	.099	.304	10	5	31%	5%	58	-1.2	.195/.241/.294	.099	.274	12	2	33%	5%	40	-0.8
✕Pedro Diaz 2013 · AAA	34	46→47	43→50	46→45	42	.227/.272/.337	.110	.281	11	6	23%	5%	68	-0.5	.231/.256/.366	.135	.280	16	4	24%	3%	69	-0.4	.238/.260/.379	.141	.279	19	0	22%	2%	71	-0.1
●Scott McClain 2007 · MLB	35	39→45	54→55	43→40	43	.215/.265/.391	.175	.246	23	5	24%	6%	80	+0.4	.224/.284/.404	.180	.258	24	5	24%	8%	91	+1.1	.225/.292/.412	.187	.254	26	3	23%	8%	95	+1.3
✕Tuffy Gosewisch 2018 · MLB	34	41→44	43→45	47→40	44	.205/.264/.314	.108	.255	10	4	24%	6%	59	-1.1	.196/.261/.297	.101	.261	9	4	27%	6%	53	-1.5	.170/.243/.254	.084	.231	7	0	28%	7%	34	-0.9
✕Chad Moeller 2008 · MLB	33	40	46→50	41→30	43	.207/.263/.330	.123	.255	14	4	25%	6%	63	-0.9	.214/.268/.320	.106	.267	9	4	23%	6%	62	-0.9	.207/.260/.300	.092	.257	5	0	21%	5%	49	-0.5
✕Ildelfonso Lara 2009 · AAA	34	51→54	44→45	50→45	47	.247/.304/.367	.120	.303	11	6	22%	7%	89	+0.9	.240/.298/.362	.122	.307	13	8	25%	7%	85	+0.7	.245/.305/.355	.110	.316	13	5	25%	7%	84	+0.3
✕Carlos Ibarra 2016 · AAA	32	44	44→50	40	39	.222/.258/.330	.107	.275	12	4	24%	4%	59	-1.1	.217/.257/.312	.095	.268	8	7	22%	5%	54	-1.4	.196/.233/.279	.083	.232	5	0	18%	5%	32	-0.7
✕Octavio Sandoval 2006 · AAA	33	48	45→40	44→45	37	.240/.272/.362	.122	.301	12	9	25%	3%	73	-0.1	.248/.278/.339	.091	.291	8	7	17%	3%	69	-0.4	.257/.282/.333	.076	.293	7	5	15%	3%	66	-0.3
●Andy Tracy 2008 · AAA	34	42→48	51→55	41→45	50	.221/.296/.380	.159	.265	19	6	25%	9%	90	+1.0	.233/.302/.409	.176	.279	22	6	24%	8%	99	+1.7	.233/.303/.420	.187	.276	24	5	25%	8%	104	+1.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)