Niko Goodrum — OGILVIE

Niko Goodrum3B Syracuse Mets

Age 34 S/R 6'3" / 220 lbs AAA H +5%HR +3% Svc 9.000 · Ctrl thru 2026 peak 1.0 · 2026

wRC+†99

AVG/OBP/SLG.228 / .320 / .372

PA212

HR6

SB5

K%27

BB%11

MLB%10%

Scouting · now → future

HIT

36→36

PWR

54→54

SPD

49→49

EYE

51↘48

trajectory · 10 yrs

0.5peak

2026

Contract

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

Status FA

MLB Debut 2017

Service 9.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$3M	+1.0	$8M	+$5M
Totals		$3M		$8M	+$5M

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
2010	18	ROK	GCL Twins	128	121	14	3	0	0	6	49	0	4	2	.116	.157	.140	.298	.025	.192	38	5	.131	-42	-20	+0	+0	+1	+4	-1.6
2011	19	ROK	Elizabethton Twins	230	212	43	7	2	1	13	80	4	8	1	.203	.262	.269	.531	.066	.318	35	6	.241	43	-15	+1	+0	+2	+7	-0.5
2012	20	ROK	Elizabethton Twins	269	241	44	9	6	3	24	80	1	6	3	.183	.259	.307	.566	.124	.255	30	9	.250	50	-15	+0	+0	+3	+8	-0.5
2013	21	A	Cedar Rapids Kernels	455	406	97	19	3	3	39	141	4	20	4	.239	.312	.323	.634	.084	.356	31	9	.279	72	-15	+2	+0	+5	+13	0.6
2014	22	A+	Fort Myers Miracle	504	453	92	17	4	2	43	141	2	35	4	.203	.275	.272	.547	.068	.287	28	9	.249	49	-29	+5	+0	+5	+14	-0.4
2015	23	A+	2 teams	478	437	82	15	5	7	37	152	2	29	9	.188	.254	.293	.547	.105	.268	32	8	.244	45	-30	+2	+0	+5	+14	-0.9
2016	24	AA	3 teams	365	338	73	17	3	8	22	127	2	15	4	.216	.268	.355	.623	.139	.317	35	6	.272	67	-14	+1	+0	+4	+10	0.2
2017	25	AAA	2 teams	517	489	104	18	4	11	20	153	2	11	7	.213	.247	.333	.580	.121	.282	30	4	.253	52	-28	-1	-0	+2	+15	-1.3
2018	26	MLB	Detroit Tigers	492	444	110	28	3	17	42	132	4	12	4	.248	.318	.439	.758	.191	.313	27	9	.327	108	+5	+1	-1	+2	+14	2.1
2019	27	MLB	Detroit Tigers	472	423	100	23	5	13	46	138	1	12	3	.236	.313	.407	.719	.170	.318	29	10	.312	97	-2	+1	+9	+5	+13	2.7
2020	28	MLB	Detroit Tigers	179	158	31	8	1	5	18	69	0	7	1	.196	.278	.354	.633	.158	.299	39	10	.270	65	-7	+1	+5	+2	+5	0.6
2021	29	MLB	2 teams	387	346	71	11	2	9	34	126	4	15	5	.205	.284	.327	.610	.121	.290	33	9	.272	66	-15	+1	+5	+4	+11	0.6
2022	30	AAA	3 teams	131	112	20	6	0	2	19	55	0	4	0	.179	.298	.286	.583	.107	.327	42	15	.265	61	-6	+1	+1	+0	+4	-0.0
2023	31	AAA	Worcester Red Sox	286	239	57	6	1	7	45	71	1	7	3	.238	.361	.360	.721	.121	.309	25	16	.332	112	+4	+0	+0	+3	+8	1.6
2024	32	AAA	2 teams	276	249	63	7	5	6	23	81	2	8	2	.253	.321	.394	.715	.141	.350	29	8	.313	98	-1	+1	-5	+1	+8	0.5
2025	33	AAA	Syracuse Mets	46	38	8	3	0	1	5	15	2	2	2	.211	.333	.368	.702	.158	.304	33	11	.297	85	-1	-0	+0	+0	+1	0.1
▸ 2026 Season
2026	34	MLB	NYM	212	184	43	6	2	6	24	58	2	5	1	.234	.329	.386	.714	.152	.299	27	11	.314	99	-0	+1	+2	+2	+6	1.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	35	MLB 20%	NYM	157	138	31	5	1	4	17	45	1	3	1	.225	.314	.362	.676	.138	.297	29	11	.306	93	-1	+0	-4	+2	+4	0.1
▸ Career Totals (MLE all levels + projections)
Career	—			5584	5028	1083	208	47	105	477	1713	34	203	56	.215	.288	.338	.626	.123	.301	31	9	.277	70	-190	+18	+12	+50	+158	4.9
/ 162G	—			650	585	125	24	5	12	56	199	4	24	7	.214	.287	.333	.620	.120	.299	31	9	.277	70	-22	+2	+1	+6	+18	0.6

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
2010	18	ROK	GCL Twins	128	118	19	4	0	0	9	34	0	4	2	.161	.220	.195	.415	.034	.224	27	7	.195	8	-13	+0	—	—	+4	-1.0
2011	19	ROK	Elizabethton Twins	230	204	56	10	3	2	21	56	4	8	1	.275	.354	.382	.736	.108	.367	24	9	.333	113	+3	+1	—	—	+7	1.1
2012	20	ROK	Elizabethton Twins	269	227	55	12	8	4	38	56	1	6	3	.242	.353	.419	.772	.176	.300	21	14	.342	120	+6	+0	—	—	+8	1.4
2013	21	A	Cedar Rapids Kernels	455	385	100	22	4	4	60	105	4	20	4	.260	.365	.369	.734	.109	.345	23	13	.332	112	+6	+2	—	—	+13	2.2
2014	22	A+	Fort Myers Miracle	504	438	109	19	5	3	58	99	2	35	4	.249	.339	.336	.675	.087	.312	20	12	.307	93	-4	+5	—	—	+14	1.6
2015	23	AA	Chattanooga Lookouts	238	209	51	6	5	5	28	51	0	18	4	.244	.333	.392	.726	.148	.299	21	12	.325	107	+2	+2	—	—	+7	1.1
2015	23	A+	Fort Myers Miracle	240	205	45	11	1	4	32	59	2	11	5	.220	.331	.341	.672	.122	.287	25	13	.309	94	-2	+0	—	—	+7	0.6
2016	24	AA	Chattanooga Lookouts	207	182	50	10	2	6	22	52	2	8	2	.275	.359	.451	.810	.176	.352	25	11	.359	133	+8	+1	—	—	+6	1.5
2016	24	A+	Fort Myers Miracle	26	25	7	4	0	1	1	7	0	1	0	.280	.308	.560	.868	.280	.353	27	4	.374	144	+1	+0	—	—	+1	0.2
2016	24	INTL	Caribes de Anzoategui	132	116	33	8	3	1	13	29	0	6	2	.284	.354	.431	.785	.147	.368	22	10	.343	121	+3	+0	—	—	+4	0.7
2017	25	MLB	Minnesota Twins	18	17	1	0	0	0	1	10	0	0	0	.059	.111	.059	.170	.000	.143	56	6	.089	-74	-4	+0	-0	+2	+1	-0.1
2017	25	AAA	Rochester Red Wings	499	461	122	25	5	13	30	119	2	11	7	.265	.312	.425	.738	.161	.326	24	6	.323	105	+3	-1	—	—	+14	1.7
2018	26	MLB	Detroit Tigers	492	444	109	29	3	16	42	132	4	12	4	.245	.316	.432	.749	.187	.312	27	9	.331	111	+6	+1	-1	+2	+14	2.3
2019	27	MLB	Detroit Tigers	472	423	105	27	5	12	46	138	1	12	3	.248	.323	.421	.744	.173	.338	29	10	.330	111	+6	+1	+9	+5	+13	3.5
2020	28	MLB	Detroit Tigers	179	158	29	7	1	5	18	69	0	7	1	.184	.267	.335	.602	.152	.276	39	10	.268	64	-7	+1	+5	+2	+5	0.6
2021	29	MLB	Detroit Tigers	325	290	62	11	2	9	29	107	4	14	5	.214	.294	.359	.653	.145	.301	33	9	.294	83	-6	+1	+5	+4	+9	1.3
2021	29	AAA	Toledo Mud Hens	62	54	10	0	0	0	7	16	0	1	0	.185	.279	.185	.464	.000	.256	26	11	.225	30	-5	+0	—	—	+2	-0.3
2022	30	MLB	Houston Astros	45	43	5	2	0	0	2	23	0	1	0	.116	.156	.163	.318	.047	.250	51	4	.148	-28	-7	+0	+1	+0	+1	-0.4
2022	30	AAA	Sugar Land Space Cowboys	62	45	14	3	0	2	17	14	0	2	0	.311	.500	.511	1.011	.200	.414	23	27	.452	204	+7	+0	—	—	+2	1.0
2022	30	ROK	FCL Astros Orange	24	17	4	2	0	0	7	9	0	1	0	.235	.458	.353	.811	.118	.500	38	29	.386	153	+1	+0	—	—	+1	0.2
2023	31	AAA	Worcester Red Sox	286	218	61	9	1	8	66	60	1	7	3	.280	.449	.440	.889	.161	.351	21	23	.404	167	+22	+0	—	—	+8	3.1
2024	32	MLB	Los Angeles Angels	33	29	3	0	0	0	3	10	0	1	1	.103	.188	.103	.291	.000	.158	30	9	.146	-30	-5	-0	-5	+1	+1	-0.8
2024	32	AAA	Norfolk Tides	243	211	60	8	4	7	29	66	2	7	1	.284	.376	.460	.836	.175	.381	27	12	.371	142	+12	+1	—	—	+7	2.0
2025	33	AAA	Syracuse Mets	46	35	8	3	0	1	8	12	2	2	2	.229	.400	.400	.800	.171	.304	26	17	.361	134	+2	-0	—	—	+1	0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1564	1404	314	76	11	42	141	489	9	47	14	.224	.299	.383	.682	.160	.308	31	9	.304	91	-16	+4	+14	+16	+44	6.3

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
Niko Goodrum (OGILVIE)	34	36	54	49	48	.228/.320/.372	.144	.299	6	5	27%	11%	99	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brooks Conrad 2012 · MLB	32	45→44	51→55	53→50	47	.230/.301/.389	.159	.296	18	13	28%	8%	94	+1.3	.227/.292/.424	.197	.303	25	6	32%	8%	99	+1.7	.190/.251/.354	.164	.246	21	1	32%	7%	63	-0.4
✕Cody Ransom 2010 · MLB	34	40→41	52→55	49→50	45	.213/.279/.385	.172	.266	20	12	28%	8%	84	+0.6	.222/.285/.399	.177	.290	21	8	30%	8%	90	+1.0	.217/.285/.398	.181	.290	23	7	32%	8%	87	+0.6
●Greg Norton 2005 · MLB	33	46	50→60	43→40	52	.234/.312/.393	.159	.284	18	7	24%	10%	99	+1.7	.254/.328/.429	.175	.297	22	3	21%	10%	115	+2.8	.270/.367/.437	.168	.321	20	2	21%	13%	126	+1.7
✕Mark Little 2006 · MLB	34	44	52→55	52→55	40	.227/.298/.393	.166	.296	20	19	30%	6%	95	+1.4	.232/.315/.357	.125	.319	12	15	29%	6%	92	+1.2	.233/.334/.324	.091	.343	4	13	29%	7%	89	+0.5
✕Anthony Recker 2017 · MLB	33	42→48	50	48→45	47	.214/.292/.365	.151	.283	18	5	30%	9%	85	+0.7	.212/.279/.357	.145	.289	16	5	31%	7%	77	+0.1	.194/.255/.340	.146	.266	16	1	32%	6%	59	-0.5
✕Andrés Blanco 2018 · MLB	34	50→47	47→50	44→50	48	.246/.312/.396	.150	.291	13	6	20%	7%	100	+1.7	.220/.294/.356	.136	.264	15	7	22%	7%	83	+0.6	.209/.288/.346	.137	.251	17	5	23%	7%	75	-0.0
✕Robbie Grossman 2023 · MLB	33	45→55	49→45	51→50	58	.227/.333/.378	.151	.282	16	14	24%	13%	105	+2.1	.225/.328/.350	.125	.291	12	7	24%	13%	95	+1.4	.220/.330/.335	.116	.283	10	4	23%	14%	89	+0.5
✕Ryan Langerhans 2013 · MLB	33	42→41	48→50	45→50	51	.207/.302/.353	.146	.302	16	11	34%	12%	85	+0.7	.213/.292/.369	.156	.305	18	8	34%	10%	85	+0.7	.198/.280/.370	.172	.268	23	2	34%	10%	77	+0.1
✕Nick Hundley 2019 · MLB	35	48→45	53→55	46→40	44	.247/.297/.424	.177	.303	20	4	25%	7%	102	+1.8	.227/.279/.384	.157	.303	18	6	30%	6%	83	+0.6	.167/.203/.288	.122	.239	14	0	36%	4%	25	-0.8
✕Michael Tucker 2005 · MLB	34	51→52	49→55	49→55	56	.252/.335/.412	.160	.295	15	12	20%	11%	113	+2.6	.236/.326/.372	.136	.280	12	9	19%	11%	100	+1.7	.216/.314/.335	.118	.261	10	9	20%	11%	82	+0.3
✕Chad Huffman 2018 · MLB	33	45→50	49→50	48→45	48	.227/.308/.382	.155	.275	15	8	23%	8%	96	+1.5	.229/.301/.381	.152	.291	17	6	26%	7%	92	+1.2	.225/.298/.382	.157	.288	19	0	28%	7%	87	+0.5
✕Jason Kipnis 2021 · MLB	34	45→55	50→55	49→55	53	.232/.308/.391	.159	.265	18	8	20%	9%	97	+1.5	.243/.320/.413	.170	.303	20	7	25%	9%	108	+2.3	.237/.318/.414	.178	.297	22	2	27%	8%	104	+0.8
✕Dioner Navarro 2019 · MLB	35	44→54	46→50	45	48	.220/.282/.348	.128	.260	14	7	22%	8%	75	-0.0	.225/.302/.343	.118	.278	12	8	22%	9%	82	+0.5	.182/.269/.232	.050	.233	5	0	22%	10%	38	-0.5
✕Bobby Kielty 2011 · AAA	34	45→53	47→50	44→45	49	.225/.301/.362	.137	.293	15	9	28%	9%	87	+0.8	.232/.285/.371	.139	.304	15	7	28%	6%	82	+0.5	.227/.281/.367	.140	.296	15	0	28%	6%	77	+0.1
✕Abraham Almonte 2022 · MLB	33	46→53	52→55	47→55	59	.235/.331/.416	.180	.282	18	12	23%	13%	113	+2.6	.238/.327/.421	.183	.299	24	9	27%	11%	113	+2.6	.219/.313/.404	.185	.272	27	8	29%	11%	100	+0.9
✕Mike Coolbaugh 2006 · AAA	34	43→41	53→55	53→50	42	.228/.277/.396	.168	.276	21	10	26%	6%	86	+0.8	.217/.283/.361	.144	.272	17	9	26%	7%	79	+0.3	.182/.274/.295	.113	.227	14	4	26%	10%	56	-0.6
✕Curt Casali 2023 · MLB	34	44	49→50	48→30	53	.218/.322/.368	.150	.293	17	5	30%	12%	98	+1.6	.223/.317/.330	.107	.291	10	4	25%	10%	86	+0.8	.218/.318/.287	.069	.282	5	0	22%	10%	74	-0.0
✕Preston Tucker 2023 · AAA	33	47→45	47→55	48→40	46	.236/.295/.373	.137	.274	15	6	20%	6%	88	+0.9	.241/.323/.403	.162	.292	18	6	23%	9%	107	+2.2	.238/.350/.432	.194	.288	21	2	23%	13%	122	+1.3
✕John Buck 2014 · MLB	34	42→52	51→55	43→30	51	.219/.300/.370	.151	.258	20	3	24%	9%	89	+1.0	.232/.300/.359	.127	.289	15	5	24%	8%	85	+0.7	.238/.300/.312	.074	.311	6	0	24%	7%	70	-0.1
✕Jarrod Saltalamacchia 2017 · MLB	32	40→50	53→60	43→40	51	.207/.303/.376	.169	.285	21	2	33%	12%	92	+1.2	.177/.259/.302	.125	.282	15	4	39%	10%	55	-1.4	.125/.203/.198	.073	.218	8	1	43%	9%	1	-1.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)