Cody Bellinger — OGILVIE

Cody BellingerLF New York Yankees

Age 31 L/L 6'3" / 204 lbs MLB HR +8%BB +8% Svc 8.930 · Ctrl thru 2030 peak 3.6 · 2026

wRC+†vL 153125vR 111

AVG/OBP/SLG.265 / .329 / .445

PA576

HR22

SB15

K%15

BB%8

xwOBA.375

Barrel%8.3%

MLB%100%

Scouting · now → future

HIT

50→50

PWR

45→45

SPD

55→55

EYE

52↘45

trajectory · 10 yrs

2.3peak

2026

Contract

CONFIRMED · hand-curated extension

Status FA

MLB Debut 2017

Service 8.930 yrs.days

Team Control Through 2030

First FA Year 2027

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$25M	+3.6	$29M	+$4M
2027	Ext / FA-deal	$32M	+3.1	$26M	-$7M
2028	Ext / FA-deal	$32M	+2.5	$21M	-$11M
2029	Ext / FA-deal	$32M	+1.9	$17M	-$16M
2030	Ext / FA-deal	$32M	+1.2	$11M	-$22M
Totals		$155M		$103M	-$52M

Options · projected decision
2027	PLAYER OPT	$25.0M / $0.0M buyout	EXERCISE

Underwater contract
Projected production over the remaining contract is worth -$52M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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	18	ROK	AZL Dodgers	195	174	25	6	4	1	19	66	1	2	3	.144	.232	.241	.473	.098	.224	34	10	.214	22	-17	-1	+0	+1	+6	-1.2
2014	19	ROK	Ogden Raptors	233	221	50	10	4	2	9	58	0	8	0	.226	.257	.335	.591	.109	.293	25	4	.257	55	-12	+2	+0	+1	+7	-0.3
2015	20	A+	Rancho Cucamonga Quakes	544	492	97	22	2	27	38	206	4	10	2	.197	.260	.415	.675	.217	.262	38	7	.286	77	-14	+1	+0	+2	+15	0.5
2016	21	AA	2 teams	550	492	107	17	1	24	50	145	3	8	5	.217	.294	.402	.696	.185	.253	26	9	.302	89	-7	-0	+0	+2	+16	1.1
2017	22	MLB	2 teams	625	550	151	28	5	44	70	174	2	17	3	.275	.359	.584	.942	.309	.319	28	11	.386	154	+38	+2	-4	-11	+18	4.3
2018	23	MLB	Los Angeles Dodgers	632	557	145	27	8	24	69	151	3	14	1	.260	.345	.467	.812	.206	.314	24	11	.340	118	+13	+2	-2	-11	+18	2.0
2019	24	MLB	Los Angeles Dodgers	661	559	170	35	4	43	95	108	3	15	5	.304	.408	.612	1.020	.308	.308	16	14	.412	174	+55	+1	+5	-7	+19	7.4
2020	25	MLB	Los Angeles Dodgers	243	213	49	9	0	11	30	42	0	6	1	.230	.325	.427	.752	.197	.237	17	12	.330	111	+3	+1	+5	+1	+7	1.7
2021	26	MLB	2 teams	371	335	54	9	1	10	32	99	1	3	1	.161	.236	.284	.520	.122	.192	27	9	.228	33	-28	+0	+1	+1	+11	-1.6
2022	27	MLB	Los Angeles Dodgers	550	504	105	27	3	18	38	150	2	14	3	.208	.267	.381	.647	.173	.254	27	7	.284	75	-15	+2	+4	+2	+16	0.7
2023	28	MLB	Chicago Cubs	556	499	153	28	1	26	40	87	5	20	6	.307	.364	.523	.887	.216	.319	16	7	.374	144	+28	+2	-0	+2	+16	4.8
2024	29	MLB	Chicago Cubs	569	516	141	25	3	18	45	89	3	9	2	.273	.335	.438	.773	.165	.297	16	8	.328	109	+6	+1	-2	+2	+16	2.4
2025	30	MLB	New York Yankees	656	588	165	28	5	27	57	90	2	13	2	.281	.346	.483	.829	.202	.287	14	9	.351	126	+20	+2	+5	-7	+19	3.8
▸ 2026 Season (actual · ROS · total)
2026	31	MLB	New York Yankees	102	85	23	3	1	3	15	13	0	3	1	.271	.380	.435	.815	.165	.282	13	15	.355	130	+3	+0	+0	-1	+3	0.6
ROS	31	MLB	NYY	474	424	113	18	3	17	45	68	2	12	3	.267	.340	.443	.783	.177	.281	14	9	.347	124	+13	+1	+1	+2	+13	3.0
TOT	31	MLB	NYY	576	509	136	21	4	20	60	81	2	15	4	.267	.347	.442	.789	.175	.282	14	10	.349	125	+16	+1	+1	+1	+16	3.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB	NYY	557	497	131	21	4	19	53	69	2	11	3	.264	.337	.437	.774	.173	.270	12	10	.342	120	+13	+1	-3	+2	+16	2.9
2028	33	MLB	NYY	527	470	122	19	3	18	50	69	2	9	2	.260	.333	.428	.761	.168	.269	13	9	.336	115	+9	+1	-4	+2	+15	2.4
2029	34	MLB	NYY	479	429	109	17	3	15	45	67	2	7	1	.254	.328	.413	.740	.159	.267	14	9	.329	110	+5	+1	-4	+2	+14	1.8
2030	35	MLB	NYY	423	380	94	14	3	13	39	63	1	5	1	.247	.319	.403	.722	.155	.265	15	9	.321	104	+2	+1	-5	+2	+12	1.1
2031	36	MLB	NYY	363	326	78	12	2	10	33	58	1	4	0	.239	.311	.380	.691	.141	.262	16	9	.311	97	-1	+1	-6	+1	+10	0.5
2032	37	MLB	NYY	298	268	63	9	2	8	27	50	1	3	0	.235	.307	.373	.681	.138	.258	17	9	.301	89	-4	+1	-7	+1	+8	-0.0
▸ Career Totals (MLE all levels + projections)
Career	—			9506	8494	2122	381	61	375	884	1909	40	190	44	.250	.323	.441	.765	.192	.278	20	9	.329	110	+106	+20	-18	-12	+269	37.3
/ 162G	—			650	581	145	26	4	26	60	131	3	13	3	.250	.323	.442	.765	.193	.277	20	9	.329	110	+7	+1	-1	-1	+18	2.6

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	18	ROK	AZL Dodgers	195	162	34	9	6	1	31	46	1	2	3	.210	.340	.358	.698	.148	.287	24	16	.318	101	+0	-1	—	—	+6	0.5
2014	19	ROK	Ogden Raptors	233	215	67	14	6	3	15	40	0	8	0	.312	.357	.474	.831	.163	.366	17	6	.361	135	+9	+2	—	—	+7	1.8
2015	20	A+	Rancho Cucamonga Quakes	544	478	126	33	4	30	52	150	4	10	2	.264	.341	.538	.878	.274	.314	28	10	.375	145	+28	+1	—	—	+15	4.5
2016	21	AA	Tulsa Drillers	465	399	105	17	1	23	59	94	3	8	2	.263	.362	.484	.846	.221	.287	20	13	.371	142	+22	+1	—	—	+13	3.7
2016	21	INTL	Glendale Desert Dogs	85	70	22	8	0	3	14	18	0	0	3	.314	.429	.557	.986	.243	.380	21	16	.426	184	+8	-1	—	—	+2	1.0
2017	22	MLB	Los Angeles Dodgers	548	480	128	26	4	39	64	146	1	10	3	.267	.354	.581	.935	.315	.299	27	12	.401	165	+40	+1	-4	-11	+16	4.2
2017	22	AAA	Oklahoma City Dodgers	77	67	23	4	0	5	9	22	1	7	0	.343	.429	.627	1.055	.284	.450	29	12	.457	208	+9	+1	—	—	+2	1.3
2018	23	MLB	Los Angeles Dodgers	632	557	145	28	7	25	69	151	3	14	1	.260	.345	.470	.815	.210	.312	24	11	.358	132	+23	+2	-2	-11	+18	3.1
2019	24	MLB	Los Angeles Dodgers	661	558	170	34	3	47	95	108	3	15	5	.305	.408	.629	1.037	.324	.302	16	14	.443	197	+72	+1	+5	-7	+19	9.2
2020	25	MLB	Los Angeles Dodgers	243	213	51	10	0	12	30	42	0	6	1	.239	.333	.455	.789	.216	.245	17	12	.350	126	+7	+1	+5	+1	+7	2.1
2021	26	MLB	Los Angeles Dodgers	350	315	52	9	2	10	31	94	1	3	1	.165	.242	.302	.544	.137	.196	27	9	.246	46	-21	+0	+1	+1	+10	-0.9
2021	26	AAA	Oklahoma City Dodgers	21	20	4	0	0	2	1	4	0	0	0	.200	.238	.500	.738	.300	.143	19	5	.318	101	+0	+0	—	—	+1	0.1
2022	27	MLB	Los Angeles Dodgers	550	504	106	27	3	19	38	150	2	14	3	.210	.268	.389	.657	.179	.255	27	7	.288	79	-13	+2	+4	+2	+16	1.0
2023	28	MLB	Chicago Cubs	556	499	153	29	1	26	40	87	5	20	6	.307	.364	.525	.889	.218	.319	16	7	.382	150	+32	+2	-0	+2	+16	5.2
2024	29	MLB	Chicago Cubs	569	516	137	23	3	18	45	89	3	9	2	.266	.328	.426	.754	.161	.287	16	8	.333	113	+8	+1	-2	+2	+16	2.6
2025	30	MLB	New York Yankees	656	588	160	25	5	29	57	90	2	13	2	.272	.338	.480	.818	.207	.274	14	9	.355	130	+22	+2	+5	-7	+19	4.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4765	4230	1102	211	28	225	469	957	20	104	24	.261	.337	.483	.820	.223	.284	20	10	.358	132	+171	+11	+10	-28	+135	30.5

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
Cody Bellinger (OGILVIE)	31	50	45	55	45	.265/.338/.442	.177	.272	21	14	12%	10%	124	+3.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jody Gerut 2009 · MLB	31	54→56	55	50	52	.275/.331/.465	.190	.290	22	12	15%	8%	126	+3.5	.250/.305/.413	.163	.269	18	10	15%	7%	102	+1.8	.234/.288/.381	.147	.251	16	7	14%	7%	82	+0.2
●Michael Tucker 2002 · MLB	31	50→52	53→55	53→55	55	.252/.336/.434	.182	.291	19	19	20%	10%	119	+3.1	.250/.329/.415	.165	.296	16	17	20%	10%	111	+2.5	.250/.334/.409	.159	.295	15	14	20%	11%	108	+2.0
●Eric Byrnes 2007 · MLB	31	51→57	54→60	55→60	49	.259/.316/.445	.186	.278	20	17	16%	7%	115	+2.7	.259/.319/.436	.177	.278	19	27	14%	7%	114	+2.7	.253/.315/.422	.168	.270	17	30	13%	7%	104	+1.4
✕Josh Reddick 2018 · MLB	31	57→63	50→60	49→50	54	.285/.342/.447	.162	.304	17	10	13%	8%	125	+3.5	.266/.326/.413	.147	.292	16	8	15%	8%	110	+2.4	.254/.317/.392	.138	.278	16	6	15%	8%	96	+1.0
●Jason Heyward 2021 · MLB	31	50→60	51→55	48→50	58	.252/.341/.415	.163	.279	19	7	17%	11%	117	+2.9	.231/.309/.382	.151	.267	16	8	19%	9%	95	+1.4	.229/.304/.401	.172	.256	19	6	19%	9%	95	+0.6
●Jacque Jones 2006 · MLB	31	51→61	54→60	48→50	48	.262/.320/.438	.176	.296	22	13	20%	7%	115	+2.7	.265/.322/.435	.170	.301	20	10	19%	7%	115	+2.7	.267/.322/.422	.155	.304	16	7	18%	7%	104	+1.3
✕Travis Lee 2006 · MLB	31	53→55	50→55	46→45	54	.266/.331/.431	.164	.292	17	8	16%	9%	117	+2.9	.244/.318/.393	.149	.277	17	9	18%	10%	102	+1.9	.224/.312/.364	.140	.254	17	8	19%	11%	89	+0.6
✕Blake Gailen 2015 · AAA	30	47	52→60	49→50	54	.239/.306/.412	.172	.247	19	11	13%	8%	102	+1.8	.222/.295/.375	.153	.247	18	11	18%	9%	88	+0.9	.207/.283/.349	.143	.232	17	9	19%	9%	74	-0.0
✕David Murphy 2013 · MLB	31	57→60	47→55	49→50	55	.280/.347/.423	.142	.309	15	14	15%	9%	121	+3.2	.258/.318/.406	.148	.280	15	6	13%	8%	105	+2.1	.252/.306/.392	.141	.270	14	1	13%	7%	91	+0.8
●Bobby Higginson 2002 · MLB	31	55→58	55	50	61	.282/.365/.478	.196	.294	21	16	13%	12%	143	+4.7	.262/.345/.415	.153	.280	16	13	12%	11%	118	+3.0	.249/.338/.385	.135	.270	14	10	13%	11%	103	+1.7
✕Rangel Ravelo 2023 · MLB	31	53→55	56→50	48→45	53	.272/.345/.466	.194	.294	23	8	17%	9%	132	+4.0	.259/.345/.402	.143	.304	16	6	19%	10%	116	+2.8	.267/.368/.388	.121	.314	15	0	18%	12%	123	+1.4
✕Kolten Wong 2023 · MLB	32	52→60	49→50	51→55	52	.260/.337/.419	.159	.294	15	16	17%	8%	117	+2.9	.224/.298/.352	.128	.266	13	12	20%	8%	83	+0.6	.183/.254/.261	.078	.227	8	8	22%	7%	41	-0.7
✕Rafael Ortega 2022 · MLB	31	48→54	53→55	49→55	49	.246/.310/.423	.177	.290	21	16	23%	8%	106	+2.2	.231/.317/.368	.137	.280	15	20	22%	11%	95	+1.4	.216/.314/.341	.125	.264	13	24	22%	12%	84	+0.4
✕Didi Gregorius 2021 · MLB	31	49→55	56→60	46→50	51	.257/.314/.451	.194	.260	24	8	13%	7%	115	+2.8	.224/.284/.372	.148	.242	16	6	15%	6%	82	+0.5	.200/.264/.329	.129	.219	13	4	16%	6%	60	-0.5
✕Alex Dickerson 2021 · MLB	31	53→54	56→55	47→45	50	.270/.339/.471	.201	.307	23	5	20%	8%	131	+3.9	.235/.299/.414	.179	.278	22	4	24%	7%	100	+1.7	.213/.276/.380	.167	.252	21	1	25%	7%	77	+0.1
✕Marvin Benard 2002 · MLB	32	52→54	49→55	51→55	53	.261/.329/.414	.153	.287	16	17	16%	8%	111	+2.5	.250/.307/.388	.138	.286	13	15	17%	7%	95	+1.4	.276/.320/.406	.130	.344	5	23	20%	5%	103	+0.4
✕Danny Bautista 2003 · MLB	31	57→59	50	50→45	50	.286/.335/.450	.164	.307	17	10	14%	7%	123	+3.3	.277/.328/.406	.129	.308	12	8	14%	7%	108	+2.3	.279/.330/.394	.115	.310	10	6	13%	6%	102	+1.4
●Garrett Jones 2012 · MLB	31	49→53	55→60	47→50	51	.255/.319/.444	.189	.288	22	11	20%	8%	115	+2.8	.252/.310/.450	.198	.288	24	5	21%	8%	114	+2.7	.249/.306/.443	.194	.285	23	2	21%	7%	106	+1.8
●Emil Brown 2006 · MLB	31	55→58	50	54→50	51	.275/.340/.440	.165	.313	17	10	18%	8%	123	+3.3	.269/.333/.419	.150	.307	15	10	17%	8%	115	+2.7	.261/.323/.398	.137	.294	14	9	16%	8%	101	+1.4
✕Jeff DaVanon 2004 · MLB	30	50	52→45	51→55	56	.256/.334/.426	.169	.284	20	20	18%	10%	117	+2.9	.261/.352/.398	.137	.300	13	24	16%	12%	117	+2.9	.261/.362/.386	.125	.306	10	27	16%	13%	114	+1.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)