Ike Davis

Pos1B

B/TL/L

Born1987-03-22

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	28	MLBOakland Athle…	239	.229/.304/.350	3	0	86	-0.8
2016	29	AAAScranton/Wilk…	270	.248/.341/.419	9	0	63	—	.192/.258/.314
2016	29	MLBNYY	15	.214/.267/.214	0	0	40	-0.6
2017	30	AAAOklahoma City…	93	.212/.264/.412	4	0	23	—	.149/.187/.287
2018	31	No MLB games played
2019	32	No MLB games played
2020	33	No MLB games played
2021	34	No MLB games played
2022	35	No MLB games played
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR -1.4

Contract

No contract data on file.

Skills · percentileStatcast 2015-2016

xwOBA46

Avg EV31

Barrel%24

Speed10

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2009	22	AA	Binghamton Mets	—	233	207	64	14	0	13	26	60	0	0	0	309	386	565	951	256	381	26	11	415	116	—	—	—	—	—	—
2009	22	A+	St. Lucie Mets	—	255	222	64	17	3	7	31	52	1	0	2	288	378	486	864	198	348	20	12	381	93	—	—	—	—	—	—
2010	23	MLB	New York Mets	—	601	523	138	33	1	19	72	138	1	3	2	264	354	440	794	176	321	23	12	352	125	+18	-0	-0	-11	+13	1.9
2010	23	AAA	Buffalo Bisons	—	42	33	12	3	0	2	9	5	0	0	0	364	500	636	1.136	273	385	12	21	491	172	—	—	—	—	—	—
2011	24	MLB	New York Mets	—	149	129	39	8	1	7	17	31	1	0	0	302	388	543	930	240	344	21	11	402	154	+10	+0	-1	-3	+3	1.0
2012	25	MLB	New York Mets	—	584	519	118	26	0	32	61	141	1	0	2	227	310	462	772	235	246	24	10	338	117	+12	-1	-13	-10	+13	0.0
2013	26	MLB	New York Mets	—	377	317	65	14	0	9	57	101	1	4	0	205	328	334	662	129	268	27	15	306	91	-4	+1	-9	-8	+8	-1.3
2013	26	AAA	Las Vegas 51s	—	92	75	22	7	0	7	17	18	0	0	0	293	424	667	1.091	373	300	20	18	464	117	—	—	—	—	—	—
2014	27	MLB	Pittsburgh Pirates	—	427	360	84	19	0	11	63	78	0	0	4	233	348	378	725	144	265	18	15	328	107	+3	-2	-9	-8	+9	-0.5
2015	28	MLB	Oakland Athletics	—	239	214	49	17	0	3	23	44	0	0	0	229	304	350	654	121	272	18	10	294	86	-4	+0	-4	-5	+5	-0.8
2015	28	AAA	Nashville Sounds	—	21	21	5	1	0	0	0	5	0	0	0	238	238	286	524	48	312	24	0	234	12	—	—	—	—	—	—
2016	29	MLB	New York Yankees	—	15	14	3	0	0	0	1	5	0	0	0	214	267	214	481		333	33	7	228	40	-1	+0	-0	-5	+0	-0.6
2016	29	AAA	Scranton/Wilkes-Barre RailRiders	—	270	234	58	13	0	9	33	69	0	0	0	248	341	419	760	171	308	26	12	337	63	—	—	—	—	—	—
2017	30	AAA	Oklahoma City Dodgers	—	93	85	18	5	0	4	6	32	0	0	0	212	264	412	676	200	275	34	6	291	23	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2392	2076	496	117	2	81	294	538	4	7	8	239	334	414	749	175	281	22	12	334	112	+34	-2	-36	-50	+52	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	22	AA MLE	Binghamton Mets	—	233	214	57	12	0	10	19	73	0	0	0	266	326	463	789	196	362	31	8	340	116	—	—	—	—	—	—
2009	22	A+ MLE	St. Lucie Mets	—	255	232	54	15	2	6	21	74	1	0	2	233	299	392	691	159	315	29	8	306	93	—	—	—	—	—	—
2010	23	MLB MLE	New York Mets	—	601	529	142	35	1	19	66	138	1	3	2	268	351	446	797	178	321	23	11	353	125	+18	-0	-0	-11	+13	1.9
2010	23	AAA MLE	Buffalo Bisons	—	42	35	11	2	0	2	7	6	0	0	0	314	429	543	971	229	356	14	17	422	172	—	—	—	—	—	—
2011	24	MLB MLE	New York Mets	—	149	132	40	8	1	7	14	31	1	0	0	303	374	538	912	235	344	21	9	396	154	+10	+0	-1	-3	+3	1.0
2012	25	MLB MLE	New York Mets	—	584	522	122	28	0	32	58	141	1	0	2	234	312	471	783	238	246	24	10	341	117	+12	-1	-13	-10	+13	0.0
2013	26	MLB MLE	New York Mets	—	377	322	67	15	0	9	52	101	1	4	0	208	320	339	659	130	268	27	14	302	91	-4	+1	-9	-8	+8	-1.3
2013	26	AAA MLE	Las Vegas 51s	—	92	80	17	5	0	5	12	24	0	0	0	212	315	463	778	250	243	26	13	341	117	—	—	—	—	—	—
2014	27	MLB MLE	Pittsburgh Pirates	—	427	363	84	18	0	12	60	78	0	0	4	231	340	380	721	149	265	18	14	326	107	+3	-2	-9	-8	+9	-0.5
2015	28	MLB MLE	Oakland Athletics	—	239	214	48	16	0	3	23	44	0	0	0	224	300	341	641	117	272	18	10	295	86	-4	+0	-4	-5	+5	-0.8
2015	28	AAA MLE	Nashville Sounds	—	21	21	4	1	0	0	0	6	0	0	0	190	190	238	429	48	281	29	0	186	12	—	—	—	—	—	—
2016	29	MLB MLE	New York Yankees	—	15	14	3	0	0	0	1	5	0	0	0	214	267	214	481		333	33	7	228	40	-1	+0	-0	-5	+0	-0.6
2016	29	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	270	245	47	9	0	7	22	83	0	0	0	192	258	314	573	122	256	31	8	262	63	—	—	—	—	—	—
2017	30	AAA MLE	Oklahoma City Dodgers	—	93	87	13	3	0	3	4	41	0	0	0	149	187	287	474	138	216	44	4	202	23	—	—	—	—	—	—
2009	22	A+ MLE	2 teams	—	488	446	112	27	2	16	40	147	1	0	2	251	314	428	742	177	338	30	8	322	104	—	—	—	—	—	—
2009	22	A+ RAW	2 teams	—	488	429	128	31	3	20	57	112	1	0	2	298	382	524	906	226	362	23	12	397	104	—	—	—	—	—	—
2010	23	MLB MLE	2 teams	—	643	564	154	37	1	21	73	144	1	3	2	273	357	454	811	181	329	22	11	357	128	+21	-0	-0	-11	+14	2.4
2010	23	MLB RAW	2 teams	—	643	556	150	36	1	21	81	143	1	3	2	270	364	451	815	182	325	22	13	361	128	+21	-0	-0	-11	+14	2.4
2011	24	MLB MLE	New York Mets	—	149	132	40	8	1	7	14	31	1	0	0	303	374	538	912	235	344	21	9	396	154	+10	+0	-1	-3	+3	1.0
2011	24	MLB RAW	New York Mets	—	149	129	39	8	1	7	17	31	1	0	0	302	388	543	930	240	344	21	11	402	154	+10	+0	-1	-3	+3	1.0
2012	25	MLB MLE	New York Mets	—	584	522	122	28	0	32	58	141	1	0	2	234	312	471	783	238	256	24	10	341	117	+12	-1	-13	-10	+13	0.0
2012	25	MLB RAW	New York Mets	—	584	519	118	26	0	32	61	141	1	0	2	227	310	462	772	235	246	24	10	338	117	+12	-1	-13	-10	+13	0.0
2013	26	MLB MLE	2 teams	—	469	402	84	20	0	14	64	125	1	4	0	209	319	363	682	154	264	27	14	310	96	-2	+1	-9	-8	+10	-0.9
2013	26	MLB RAW	2 teams	—	469	392	87	21	0	16	74	119	1	4	0	222	347	398	745	176	274	25	16	337	96	-2	+1	-9	-8	+10	-0.9
2014	27	MLB MLE	Pittsburgh Pirates	—	427	363	84	18	0	12	60	78	0	0	4	231	340	380	721	149	260	18	14	326	107	+3	-2	-9	-8	+9	-0.5
2014	27	MLB RAW	Pittsburgh Pirates	—	427	360	84	19	0	11	63	78	0	0	4	233	348	378	725	144	265	18	15	328	107	+3	-2	-9	-8	+9	-0.5
2015	28	MLB MLE	2 teams	—	260	235	53	17	0	3	23	50	0	0	0	226	295	336	631	111	272	19	9	286	80	-6	+0	-4	-5	+6	-0.9
2015	28	MLB RAW	2 teams	—	260	235	54	18	0	3	23	49	0	0	0	230	298	345	643	115	276	19	9	289	80	-6	+0	-4	-5	+6	-0.9
2016	29	AAA MLE	2 teams	—	285	259	50	9	0	7	23	88	0	0	0	193	259	309	568	116	257	31	8	260	62	—	—	—	—	—	—
2016	29	AAA RAW	2 teams	—	285	248	61	13	0	9	34	74	0	0	0	246	337	407	744	161	310	26	12	331	62	—	—	—	—	—	—
2017	30	AAA MLE	Oklahoma City Dodgers	—	93	87	13	3	0	3	4	41	0	0	0	149	187	287	474	138	222	44	4	202	23	—	—	—	—	—	—
2017	30	AAA RAW	Oklahoma City Dodgers	—	93	85	18	5	0	4	6	32	0	0	0	212	264	412	676	200	275	34	6	291	23	—	—	—	—	—	—
2009	22	A+ MLE	2 teams	—	488	444	112	27	2	16	40	147	1	0	2	252	314	430	744	178	337	30	8	322	104	—	—	—	—	—	—
2010	23	MLB MLE	2 teams	—	643	564	154	37	1	21	73	144	1	3	2	273	357	454	811	181	323	22	11	357	128	—	—	—	—	—	—
2011	24	MLB MLE	New York Mets	—	149	133	40	8	1	7	14	31	1	0	0	301	374	534	908	233	344	21	9	396	154	—	—	—	—	—	—
2012	25	MLB MLE	New York Mets	—	584	520	122	28	0	32	58	141	1	0	2	235	312	473	785	238	246	24	10	341	117	—	—	—	—	—	—
2013	26	MLB MLE	2 teams	—	469	401	84	20	0	14	64	125	1	4	0	209	319	364	683	155	263	27	14	310	96	—	—	—	—	—	—
2014	27	MLB MLE	Pittsburgh Pirates	—	427	364	84	18	0	12	60	78	0	0	4	231	340	379	720	148	265	18	14	326	107	—	—	—	—	—	—
2015	28	MLB MLE	2 teams	—	260	235	53	17	0	3	23	50	0	0	0	226	295	336	631	111	273	19	9	286	80	—	—	—	—	—	—
2016	29	AAA MLE	2 teams	—	285	260	50	9	0	7	23	88	0	0	0	192	259	308	567	115	260	31	8	260	62	—	—	—	—	—	—
2017	30	AAA MLE	Oklahoma City Dodgers	—	93	89	13	3	0	3	4	41	0	0	0	146	187	281	468	135	216	44	4	202	23	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2392	2076	496	117	2	81	294	538	4	7	8	239	334	414	749	175	281	22	12	334	105	+34	-2	-36	-50	+52	-0.2
/ 162G	—	A+C		—	650	564	135	32	1	22	80	146	1	2	2	239	335	417	752	177	282	22	12	334	105	+9	-0	-10	-14	+14	-0.1
Career	—	MLE		—	3398	3010	712	167	4	115	359	845	5	7	10	237	319	409	728	173	288	25	11	323	105	+34	-2	-36	-50	+52	-0.2
/ 162G	—	MLE		—	650	576	136	32	1	22	69	162	1	1	2	236	319	410	729	174	287	25	11	323	105	+9	-0	-10	-14	+14	-0.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2017 AAAOklahoma City Dodgers · 93 PAwOBA .289 → .202 (−87)K% 34.4% → 44.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.41%	÷1.000	×1.290	—	—	44.39%
BB% (unintentional) /PA	6.45%	÷1.017	×0.710	—	×0.972	4.38%
HBP% /PA	0.00%	—	×0.980	—	×0.972	0.00%
Singles /BIP	16.98%	÷0.978	×0.900	×0.950	×0.972	14.44%
Doubles /BIP	9.43%	÷1.038	×0.810	×0.950	×0.972	6.80%
Triples /BIP	0.00%	÷1.150	×0.810	×0.950	×0.972	0.00%
Home runs /BIP	7.55%	÷0.989	×0.780	—	×0.972	5.78%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 96, 2B 108, 3B 130, K 100, BB 103 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .289 → .202; ISO .200 → .135; BABIP .275 → .216. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 AAAScranton/Wilkes-Barre RailRiders · 270 PAwOBA .331 → .262 (−69)K% 25.6% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.56%	÷0.994	×1.200	—	—	30.84%
BB% (unintentional) /PA	11.85%	÷0.977	×0.690	—	×0.982	8.22%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	21.82%	÷0.991	×0.930	×0.951	×0.982	19.13%
Doubles /BIP	7.88%	÷1.059	×0.830	×0.951	×0.982	5.77%
Triples /BIP	0.00%	÷0.900	×0.970	×0.951	×0.982	0.00%
Home runs /BIP	5.45%	÷0.996	×0.840	—	×0.982	4.52%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 98, 2B 112, 3B 80, K 99, BB 95 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.951.

Result: wOBA .331 → .262; ISO .171 → .136; BABIP .308 → .256. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 AAANashville Sounds · 21 PAwOBA .227 → .186 (−41)K% 23.8% → 29.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.81%	÷1.034	×1.290	—	—	29.69%
BB% (unintentional) /PA	0.00%	÷1.018	×0.710	—	×0.992	0.00%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	25.00%	÷0.953	×0.900	—	×0.992	23.41%
Doubles /BIP	6.25%	÷1.063	×0.810	—	×0.992	4.72%
Triples /BIP	0.00%	÷0.952	×0.810	—	×0.992	0.00%
Home runs /BIP	0.00%	÷0.843	×0.780	—	×0.992	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 69, 1B 91, 2B 113, 3B 90, K 107, BB 104 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average).

Result: wOBA .227 → .186; ISO .048 → .033; BABIP .312 → .281. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2013 AAALas Vegas 51s · 92 PAwOBA .449 → .341 (−108)K% 19.6% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.57%	÷0.952	×1.290	—	—	26.52%
BB% (unintentional) /PA	17.39%	÷0.994	×0.710	—	×1.018	12.65%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	14.04%	÷1.018	×0.900	×0.980	×1.018	12.38%
Doubles /BIP	12.28%	÷1.023	×0.810	×0.980	×1.018	9.70%
Triples /BIP	0.00%	÷1.150	×0.810	×0.980	×1.018	0.00%
Home runs /BIP	12.28%	÷1.078	×0.780	—	×1.018	9.05%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 104, 2B 105, 3B 130, K 90, BB 99 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .449 → .341; ISO .373 → .275; BABIP .300 → .243. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2010 AAABuffalo Bisons · 42 PAwOBA .479 → .422 (−57)K% 11.9% → 14.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.90%	÷0.984	×1.200	—	—	14.52%
BB% (unintentional) /PA	21.43%	÷0.958	×0.690	—	×1.050	16.20%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	25.00%	÷0.969	×0.930	—	×1.050	25.20%
Doubles /BIP	10.71%	÷1.133	×0.830	—	×1.050	8.24%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.050	0.00%
Home runs /BIP	7.14%	÷1.026	×0.840	—	×1.050	6.14%

Factors used: league row IL. Park (home-season share, regressed): HR 105, 1B 94, 2B 127, 3B 130, K 97, BB 92 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average).

Result: wOBA .479 → .422; ISO .273 → .235; BABIP .385 → .356. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2009 A+St. Lucie Mets · 255 PAwOBA .369 → .306 (−63)K% 20.4% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.39%	÷1.000	×1.420	—	—	28.96%
BB% (unintentional) /PA	10.98%	÷1.000	×0.750	—	×1.012	8.33%
HBP% /PA	0.39%	—	×0.930	—	×1.012	0.37%
Singles /BIP	21.76%	÷1.000	×0.920	×0.972	×1.012	19.70%
Doubles /BIP	10.00%	÷1.000	×0.960	×0.972	×1.012	9.44%
Triples /BIP	1.76%	÷1.000	×0.810	×0.972	×1.012	1.41%
Home runs /BIP	4.12%	÷1.000	×0.880	—	×1.012	3.67%

Factors used: league row FSL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .369 → .306; ISO .198 → .167; BABIP .348 → .315. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2009 AABinghamton Mets · 233 PAwOBA .403 → .340 (−63)K% 25.8% → 31.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.75%	÷1.000	×1.220	—	—	31.42%
BB% (unintentional) /PA	11.16%	÷1.000	×0.700	—	×1.042	8.14%
HBP% /PA	0.00%	—	×0.850	—	×1.042	0.00%
Singles /BIP	25.17%	÷1.000	×0.970	×0.989	×1.042	25.15%
Doubles /BIP	9.52%	÷1.000	×0.860	×0.989	×1.042	8.44%
Triples /BIP	0.00%	÷1.000	×0.950	×0.989	×1.042	0.00%
Home runs /BIP	8.84%	÷1.000	×0.780	—	×1.042	7.19%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .403 → .340; ISO .256 → .204; BABIP .381 → .362. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).