J.D. Davis — OGILVIE

J.D. Davis3B Salt Lake Bees

Age 33 R/R 6'1" / 218 lbs AAA HR -5% Svc 9.000 · Ctrl thru 2026 peak 1.0 · 2026

wRC+†vL 7998vR 76

AVG/OBP/SLG.230 / .305 / .393

PA317

HR11

K%30

BB%9

MLB%10%

Scouting · now → future

HIT

40→40

PWR

50→50

SPD

35→35

EYE

46↗55

trajectory · 10 yrs

0.8peak

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	$6M	+1.0	$8M	+$2M
Totals		$6M		$8M	+$2M

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
2014	21	A	Quad Cities River Bandits	171	159	39	7	0	6	9	52	2	4	0	.245	.294	.403	.697	.157	.324	30	5	.296	85	-3	+1	+0	+1	+5	0.3
2015	22	A+	2 teams	625	570	125	23	2	24	42	259	10	5	2	.219	.285	.393	.678	.174	.348	41	7	.290	80	-14	+0	+0	+2	+18	0.6
2016	23	AA	Corpus Christi Hooks	539	496	110	27	1	16	34	175	5	1	3	.222	.279	.377	.656	.155	.304	32	6	.285	76	-14	-1	+0	+2	+15	0.2
2017	24	AA	3 teams	529	488	114	23	0	26	30	162	4	6	3	.234	.284	.441	.724	.207	.287	31	6	.310	96	-3	+0	-0	+2	+15	1.4
2018	25	AAA	2 teams	490	447	117	22	1	15	35	119	3	3	0	.262	.320	.416	.736	.154	.321	24	7	.319	102	+1	+1	-1	+2	+14	1.7
2019	26	MLB	New York Mets	453	410	130	24	1	21	38	97	3	3	0	.317	.379	.534	.913	.217	.371	21	8	.390	156	+29	+1	-8	-5	+13	3.0
2020	27	MLB	New York Mets	229	190	47	8	0	6	31	56	7	0	0	.247	.373	.384	.757	.137	.318	24	14	.349	125	+7	+0	-4	+1	+6	1.0
2021	28	MLB	2 teams	260	220	61	16	0	8	31	85	7	1	0	.277	.384	.459	.843	.182	.411	33	12	.367	139	+11	+0	-1	+1	+7	1.9
2022	29	MLB	San Francisco Giants	365	318	79	15	1	12	39	122	6	1	1	.248	.342	.415	.757	.167	.360	33	11	.330	111	+4	-0	-3	+1	+10	1.4
2023	30	MLB	San Francisco Giants	546	482	122	23	1	18	52	152	6	1	0	.253	.333	.417	.750	.164	.327	28	10	.329	110	+6	+0	+5	+2	+15	2.9
2024	31	MLB	2 teams	293	269	50	8	0	6	20	103	4	0	0	.186	.253	.283	.535	.097	.275	35	7	.242	44	-19	+0	-5	-5	+8	-2.1
2025	32	AAA	Salt Lake Bees	213	193	45	9	1	7	15	73	3	6	1	.233	.299	.399	.698	.166	.330	34	7	.303	90	-2	+1	-0	-4	+6	0.0
▸ 2026 Season
2026	33	MLB	LAA	317	283	66	12	1	11	27	96	4	3	1	.233	.309	.399	.708	.166	.307	30	9	.313	98	-1	+0	+0	+1	+9	1.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	34	MLB 20%	LAA	273	245	56	10	1	9	23	85	3	2	1	.229	.303	.388	.690	.159	.305	31	8	.306	93	-2	+0	-5	+1	+8	0.2
2028	35	MLB 33%	LAA	222	198	45	8	1	7	19	72	3	1	0	.227	.305	.384	.688	.157	.303	32	9	.298	86	-3	+0	-6	+1	+6	-0.2
2029	36	MLB 43%	LAA	165	148	32	6	0	5	14	55	2	0	0	.216	.293	.358	.651	.142	.299	33	8	.289	79	-4	+0	-6	+1	+5	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			5690	5116	1238	241	11	197	459	1763	72	37	12	.242	.313	.409	.722	.167	.326	31	8	.315	99	-7	+3	-34	+3	+161	12.9
/ 162G	—			650	584	142	28	1	23	52	201	8	4	1	.243	.313	.413	.726	.170	.326	31	8	.315	99	-1	+0	-4	+0	+18	1.5

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
2014	21	A	Quad Cities River Bandits	171	155	47	9	0	8	13	41	2	4	0	.303	.365	.516	.881	.213	.364	24	8	.385	153	+10	+1	—	—	+5	1.6
2015	22	A+	Lancaster JetHawks	552	485	140	28	3	26	54	157	10	5	2	.289	.372	.520	.891	.231	.374	28	10	.390	156	+35	+0	—	—	+16	5.2
2015	22	INTL	Glendale Desert Dogs	73	68	19	6	0	2	5	20	0	0	0	.279	.329	.456	.785	.176	.370	27	7	.347	123	+2	+0	—	—	+2	0.4
2016	23	AA	Corpus Christi Hooks	539	485	130	34	1	23	45	143	5	1	3	.268	.336	.485	.821	.216	.331	27	8	.359	133	+20	-1	—	—	+15	3.5
2017	24	MLB	Houston Astros	68	62	14	4	0	4	4	20	1	1	1	.226	.284	.484	.767	.258	.256	29	6	.330	110	+1	-0	-0	+2	+2	0.4
2017	24	AAA	Fresno Grizzlies	73	61	18	5	0	5	9	18	0	0	0	.295	.386	.623	1.009	.328	.317	25	12	.416	176	+6	+0	—	—	+2	0.9
2017	24	AA	Corpus Christi Hooks	388	351	98	18	0	21	31	90	3	5	2	.279	.343	.510	.853	.231	.317	23	8	.371	142	+19	+0	—	—	+11	3.0
2018	25	MLB	Houston Astros	113	103	18	2	0	1	10	29	0	0	0	.175	.248	.223	.471	.049	.233	26	9	.223	29	-9	+0	-1	+2	+3	-0.5
2018	25	AAA	Fresno Grizzlies	377	333	114	25	2	17	36	69	3	3	0	.342	.411	.583	.994	.240	.385	18	10	.428	186	+37	+1	—	—	+11	4.9
2019	26	MLB	New York Mets	453	410	126	22	1	22	38	97	3	3	0	.307	.370	.527	.897	.220	.355	21	8	.392	158	+30	+1	-8	-5	+13	3.1
2020	27	MLB	New York Mets	229	190	47	9	0	6	31	56	7	0	0	.247	.373	.389	.762	.142	.318	24	14	.348	125	+6	+0	-4	+1	+6	1.0
2021	28	MLB	New York Mets	211	179	51	12	0	5	24	68	6	1	0	.285	.388	.436	.823	.151	.426	32	11	.368	140	+10	+0	-1	+1	+6	1.6
2021	28	AAA	Syracuse Mets	49	38	12	4	0	4	10	14	1	0	0	.316	.469	.737	1.206	.421	.400	29	20	.506	245	+8	+0	—	—	+1	1.0
2022	29	MLB	San Francisco Giants	365	318	79	16	1	12	39	122	6	1	1	.248	.342	.418	.760	.170	.360	33	11	.340	118	+7	-0	-3	+1	+10	1.7
2023	30	MLB	San Francisco Giants	546	480	119	23	1	18	52	152	6	1	0	.248	.328	.412	.740	.165	.320	28	10	.328	109	+6	+0	+5	+2	+15	2.8
2024	31	MLB	New York Yankees	157	142	31	5	0	4	12	39	3	0	0	.218	.293	.338	.631	.120	.273	25	8	.288	79	-4	+0	-5	-5	+4	-1.0
2024	31	AAA	Norfolk Tides	136	124	19	3	0	3	11	59	1	0	0	.153	.228	.250	.478	.097	.258	43	8	.223	29	-11	+0	—	—	+4	-0.7
2025	32	AAA	Salt Lake Bees	213	187	55	11	1	10	21	56	3	6	1	.294	.374	.524	.898	.230	.366	26	10	.391	157	+14	+1	—	—	+6	2.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			2142	1884	485	93	3	72	210	583	32	7	2	.257	.342	.425	.766	.167	.332	27	10	.341	119	+47	+1	-17	-1	+61	9.2

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
J.D. Davis (OGILVIE)	33	40	50	35	55	.230/.305/.393	.162	.307	11	3	30%	9%	98	+0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Shelley Duncan 2013 · MLB	33	42→43	54→60	40→45	51	.223/.301/.401	.178	.257	23	4	24%	9%	98	+1.6	.197/.264/.333	.136	.240	16	4	25%	8%	64	-0.8	.164/.225/.275	.111	.202	12	0	26%	7%	30	-2.3
✕Anthony Recker 2016 · MLB	32	39→48	53→50	44→45	43	.207/.276/.375	.167	.277	22	5	33%	8%	80	+0.4	.213/.287/.359	.146	.288	16	5	30%	8%	81	+0.4	.205/.278/.348	.144	.276	15	2	30%	8%	70	-0.1
✕Valentino Pascucci 2012 · AAA	33	42→45	52→55	44→45	47	.218/.295/.386	.167	.296	20	3	32%	9%	91	+1.1	.212/.300/.378	.166	.309	21	3	36%	11%	92	+1.2	.191/.294/.354	.163	.276	23	0	37%	12%	81	+0.3
✕Scott Seabol 2007 · MLB	32	44→45	53→60	39→40	45	.232/.286/.406	.174	.275	20	3	24%	7%	92	+1.2	.241/.294/.435	.194	.277	24	6	22%	7%	103	+1.9	.239/.293/.445	.205	.266	26	5	21%	7%	105	+2.0
✕Mario Lisson 2017 · AAA	33	47→49	49→55	44→55	45	.235/.304/.377	.142	.308	17	8	28%	8%	92	+1.2	.216/.280/.353	.137	.286	16	9	29%	8%	76	+0.1	.172/.233/.307	.135	.211	17	6	27%	7%	41	-0.9
✕John Buck 2012 · MLB	32	47→53	52→55	41→30	47	.244/.308/.411	.166	.292	20	2	24%	7%	102	+1.9	.223/.301/.370	.147	.271	18	3	24%	9%	89	+1.0	.212/.292/.346	.133	.260	17	1	25%	9%	71	-0.1
✕Nick Hundley 2017 · MLB	33	52→45	49→55	42→40	46	.260/.308/.413	.153	.308	17	5	21%	6%	102	+1.9	.245/.292/.416	.171	.306	19	4	26%	6%	97	+1.5	.230/.272/.400	.171	.294	20	2	29%	5%	80	+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
✕Mike Wilson 2015 · AAA	32	42→52	51→60	40→50	41	.219/.278/.376	.158	.298	20	7	33%	7%	81	+0.4	.226/.288/.379	.153	.314	19	9	33%	7%	86	+0.8	.197/.280/.328	.131	.272	19	5	33%	7%	69	-0.1
✕Michael McKenry 2017 · MLB	32	46	49→55	43→40	54	.230/.323/.384	.154	.295	16	7	26%	11%	102	+1.9	.203/.293/.322	.119	.285	11	6	30%	10%	74	-0.1	.166/.262/.253	.087	.241	7	0	31%	10%	42	-1.0
✕Donnie Murphy 2015 · MLB	32	39→41	52→60	45	41	.209/.273/.376	.166	.260	21	6	28%	6%	79	+0.3	.210/.275/.332	.122	.267	13	6	26%	7%	69	-0.4	.196/.269/.273	.077	.249	7	0	23%	7%	49	-0.5
✕Said Gutierrez 2013 · AAA	33	46	52→50	43→40	45	.241/.292/.401	.160	.276	21	6	22%	6%	94	+1.3	.236/.281/.363	.127	.267	15	6	18%	5%	79	+0.3	.228/.272/.338	.110	.254	15	3	17%	5%	66	-0.3
●Robinson Chirinos 2017 · MLB	33	43→47	56→60	40→50	49	.230/.307/.427	.197	.263	24	3	23%	8%	107	+2.2	.234/.337/.444	.210	.291	26	4	28%	10%	124	+3.4	.229/.342/.433	.204	.295	26	2	29%	11%	117	+1.9
✕Carlos M. Rodriguez 2015 · AAA	33	42→44	53→55	45→40	39	.218/.280/.384	.166	.304	23	4	35%	7%	84	+0.6	.215/.269/.332	.117	.307	13	4	33%	6%	66	-0.6	.217/.266/.330	.113	.309	12	1	32%	5%	61	-0.6
✕Tim Beckham 2021 · MLB	31	45→55	54→55	39→50	43	.233/.291/.413	.180	.291	22	4	28%	7%	96	+1.5	.256/.307/.429	.173	.330	22	7	28%	6%	107	+2.2	.274/.319/.429	.155	.357	21	4	28%	5%	108	+0.7
✕Brooks Conrad 2014 · MLB	34	44	57→55	41→50	44	.231/.298/.426	.195	.311	25	6	33%	9%	102	+1.9	.204/.263/.359	.155	.269	19	4	31%	7%	70	-0.3	.178/.239/.316	.138	.231	17	1	31%	6%	48	-1.0
✕Edgar Gonzalez 2011 · MLB	33	50→57	47→45	37→50	48	.247/.311/.383	.136	.295	15	5	22%	8%	96	+1.5	.256/.305/.371	.115	.302	12	13	18%	6%	90	+1.0	.261/.305/.362	.101	.311	11	15	19%	6%	84	+0.4
✕John Mayberry Jr. 2015 · MLB	31	44→48	51→55	44→50	48	.228/.295/.393	.165	.271	18	5	23%	8%	92	+1.2	.212/.280/.363	.151	.261	16	7	25%	8%	79	+0.3	.162/.216/.280	.119	.202	11	4	26%	7%	29	-0.8
✕Iker Franco 2013 · AAA	32	47	49→50	39→40	48	.242/.300/.383	.141	.278	18	3	20%	7%	92	+1.2	.237/.292/.345	.108	.285	13	3	21%	7%	78	+0.2	.256/.311/.344	.088	.308	10	1	20%	7%	83	+0.2
✕Yoshi Tsutsugo 2023 · MLB	31	42→41	51→50	40→30	52	.220/.305/.375	.155	.275	19	2	27%	11%	92	+1.2	.224/.315/.372	.148	.311	17	6	31%	11%	95	+1.4	.208/.320/.357	.149	.306	18	5	34%	13%	91	+0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)