Adam Brett Walker

PosRF

B/TR/R

Born1991-10-18

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	24	AAAWSH	531	.243/.309/.479	27	7	71	—	.200/.250/.389
2017	25	AAA/AA2 orgs	317	.190/.240/.401	15	3	28	—	.153/.189/.310
2018	26	AAWSH	145	.200/.329/.383	4	1	48	—	.156/.245/.297

Contract

No contract data on file.

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)
2012	20	ROK	Elizabethton Twins	—	254	232	58	7	4	14	19	76	1	4	0	250	307	496	803	246	310	30	7	348	41	—	—	—	—	—	—
2013	21	A	Cedar Rapids Kernels	—	553	508	141	31	7	27	31	115	4	10	0	278	324	526	849	248	304	21	6	363	76	—	—	—	—	—	—
2014	22	A+	Fort Myers Miracle	—	555	505	124	19	1	25	44	156	2	9	5	246	308	436	744	190	303	28	8	327	53	—	—	—	—	—	—
2015	23	AA	Chattanooga Lookouts	—	560	502	120	31	3	31	51	195	2	13	4	239	312	498	810	259	317	35	9	350	56	—	—	—	—	—	—
2015	23	INTL	Scottsdale Scorpions	—	86	75	18	2	1	5	8	35	2	1	0	240	329	493	823	253	361	41	9	357	128	—	—	—	—	—	—
2016	24	AAA	Rochester Red Wings	—	531	478	116	22	5	27	44	202	2	7	4	243	309	479	788	236	348	38	8	340	71	—	—	—	—	—	—
2017	25	AAA	Louisville Bats	—	213	198	30	9	1	5	11	76	2	3	0	152	204	283	487	131	210	36	5	217	-1	—	—	—	—	—	—
2017	25	AA	Bowie Baysox	—	104	96	26	6	0	10	6	36	0	0	1	271	314	646	960	375	308	35	6	401	88	—	—	—	—	—	—
2018	26	AA	Harrisburg Senators	—	145	120	24	6	2	4	22	51	1	1	0	200	329	383	712	183	299	35	15	319	48	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	20	ROK MLE	Elizabethton Twins	—	254	241	40	4	3	9	12	108	1	4	0	166	209	320	528	154	249	43	5	229	41	—	—	—	—	—	—
2013	21	A MLE	Cedar Rapids Kernels	—	553	522	119	25	6	18	18	164	4	10	0	228	259	402	661	174	280	30	3	281	76	—	—	—	—	—	—
2014	22	A+ MLE	Fort Myers Miracle	—	555	518	97	16	1	19	32	221	2	9	5	187	237	332	569	145	273	40	6	247	53	—	—	—	—	—	—
2015	23	AA MLE	Chattanooga Lookouts	—	560	520	94	26	2	19	33	241	2	13	4	181	232	348	581	167	278	43	6	251	56	—	—	—	—	—	—
2016	24	AAA MLE	Rochester Red Wings	—	531	491	98	14	5	23	31	241	2	7	4	200	250	389	639	189	308	45	6	273	71	—	—	—	—	—	—
2017	25	AAA MLE	Louisville Bats	—	213	201	25	7	1	4	8	93	2	3	0	124	166	229	395	104	187	44	4	167	-1	—	—	—	—	—	—
2017	25	AA MLE	Bowie Baysox	—	104	99	21	5	0	7	3	45	0	0	1	212	235	475	710	263	267	43	3	298	88	—	—	—	—	—	—
2018	26	AA MLE	Harrisburg Senators	—	145	128	20	5	2	3	14	63	1	1	0	156	245	297	542	141	251	43	10	239	48	—	—	—	—	—	—
2012	20	ROK MLE	Elizabethton Twins	—	254	241	40	4	3	9	12	108	1	4	0	166	209	320	528	154	250	43	5	229	41	—	—	—	—	—	—
2012	20	ROK RAW	Elizabethton Twins	—	254	232	58	7	4	14	19	76	1	4	0	250	307	496	803	246	310	30	7	348	41	—	—	—	—	—	—
2013	21	A MLE	Cedar Rapids Kernels	—	553	522	119	25	6	18	18	164	4	10	0	228	259	402	661	174	289	30	3	281	76	—	—	—	—	—	—
2013	21	A RAW	Cedar Rapids Kernels	—	553	508	141	31	7	27	31	115	4	10	0	278	324	526	849	248	304	21	6	363	76	—	—	—	—	—	—
2014	22	A+ MLE	Fort Myers Miracle	—	555	518	97	16	1	19	32	221	2	9	5	187	237	332	569	145	278	40	6	247	53	—	—	—	—	—	—
2014	22	A+ RAW	Fort Myers Miracle	—	555	505	124	19	1	25	44	156	2	9	5	246	308	436	744	190	303	28	8	327	53	—	—	—	—	—	—
2015	23	AA MLE	2 teams	—	646	598	109	30	3	22	38	278	4	14	4	182	236	353	589	171	286	43	6	251	56	—	—	—	—	—	—
2015	23	AA RAW	2 teams	—	646	577	138	33	4	36	59	230	4	14	4	239	314	497	811	258	322	36	9	351	56	—	—	—	—	—	—
2016	24	AAA MLE	Rochester Red Wings	—	531	491	98	14	5	23	31	241	2	7	4	200	250	389	639	189	321	45	6	273	71	—	—	—	—	—	—
2016	24	AAA RAW	Rochester Red Wings	—	531	478	116	22	5	27	44	202	2	7	4	243	309	479	788	236	348	38	8	340	71	—	—	—	—	—	—
2017	25	AAA MLE	2 teams	—	317	300	45	11	1	11	11	138	2	3	1	150	185	303	489	153	219	44	3	210	28	—	—	—	—	—	—
2017	25	AAA RAW	2 teams	—	317	294	56	15	1	15	17	112	2	3	1	190	240	401	641	211	240	35	5	278	28	—	—	—	—	—	—
2018	26	AA MLE	Harrisburg Senators	—	145	128	20	5	2	3	14	63	1	1	0	156	245	297	542	141	266	43	10	239	48	—	—	—	—	—	—
2018	26	AA RAW	Harrisburg Senators	—	145	120	24	6	2	4	22	51	1	1	0	200	329	383	712	183	299	35	15	319	48	—	—	—	—	—	—
2012	20	ROK MLE	Elizabethton Twins	—	254	239	40	4	3	9	12	108	1	4	0	167	209	322	531	155	249	43	5	229	41	—	—	—	—	—	—
2013	21	A MLE	Cedar Rapids Kernels	—	553	526	119	25	6	18	18	164	4	10	0	226	259	399	658	173	280	30	3	281	76	—	—	—	—	—	—
2014	22	A+ MLE	Fort Myers Miracle	—	555	516	97	16	1	19	32	221	2	9	5	188	237	333	571	145	273	40	6	247	53	—	—	—	—	—	—
2015	23	AA MLE	2 teams	—	646	599	109	30	3	22	38	278	4	14	4	182	236	352	588	170	278	43	6	251	56	—	—	—	—	—	—
2016	24	AAA MLE	Rochester Red Wings	—	531	493	98	14	5	23	31	241	2	7	4	199	250	387	637	189	308	45	6	273	71	—	—	—	—	—	—
2017	25	AAA MLE	2 teams	—	317	301	45	11	1	11	11	138	2	3	1	150	185	302	488	153	213	44	3	210	28	—	—	—	—	—	—
2018	26	AA MLE	Harrisburg Senators	—	145	129	20	5	2	3	14	63	1	1	0	155	245	295	539	140	251	43	10	239	48	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3001	2798	528	105	21	105	156	1213	16	48	14	189	236	354	590	165	280	40	5	253	57	-152	+4	+0	-32	+65	-11.8
/ 162G	—	MLE		—	650	606	115	23	5	23	34	263	3	10	3	190	236	358	594	168	281	40	5	253	57	-33	+1	+0	-7	+14	-2.6

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.

2018 AAHarrisburg Senators · 145 PAwOBA .315 → .239 (−76)K% 35.2% → 43.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.17%	÷0.987	×1.220	—	—	43.47%
BB% (unintentional) /PA	15.17%	÷1.037	×0.700	—	×0.978	10.02%
HBP% /PA	0.69%	—	×0.850	—	×0.978	0.57%
Singles /BIP	17.39%	÷1.017	×0.970	×0.950	×0.978	15.42%
Doubles /BIP	8.70%	÷1.012	×0.860	×0.950	×0.978	6.86%
Triples /BIP	2.90%	÷1.070	×0.950	×0.950	×0.978	2.39%
Home runs /BIP	5.80%	÷0.925	×0.780	—	×0.978	4.78%

Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 103, 2B 102, 3B 114, K 97, BB 107 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .315 → .239; ISO .183 → .144; BABIP .299 → .251. 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).

2017 AAALouisville Bats · 213 PAwOBA .213 → .167 (−47)K% 35.7% → 43.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.68%	÷0.985	×1.200	—	—	43.49%
BB% (unintentional) /PA	5.16%	÷1.015	×0.690	—	×1.018	3.57%
HBP% /PA	0.94%	—	×0.940	—	×1.018	0.90%
Singles /BIP	12.30%	÷1.038	×0.930	×1.032	×1.018	11.57%
Doubles /BIP	7.38%	÷1.051	×0.830	×1.032	×1.018	6.12%
Triples /BIP	0.82%	÷1.113	×0.970	×1.032	×1.018	0.75%
Home runs /BIP	4.10%	÷1.042	×0.840	—	×1.018	3.36%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 108, 2B 110, 3B 123, K 97, BB 103 — 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 ×1.032.

Result: wOBA .213 → .167; ISO .131 → .099; BABIP .210 → .187. 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).

2017 AABowie Baysox · 104 PAwOBA .394 → .298 (−96)K% 34.6% → 43.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.62%	÷0.970	×1.220	—	—	43.54%
BB% (unintentional) /PA	4.81%	÷1.061	×0.700	—	×0.988	3.13%
HBP% /PA	0.00%	—	×0.850	—	×0.988	0.00%
Singles /BIP	16.67%	÷0.993	×0.970	×1.002	×0.988	16.11%
Doubles /BIP	10.00%	÷1.043	×0.860	×1.002	×0.988	8.16%
Triples /BIP	0.00%	÷1.016	×0.950	×1.002	×0.988	0.00%
Home runs /BIP	16.67%	÷0.998	×0.780	—	×0.988	12.87%

Factors used: league row EL. Park (home-season share, regressed): HR 100, 1B 99, 2B 109, 3B 103, K 94, BB 112 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .394 → .298; ISO .375 → .270; BABIP .308 → .267. 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 AAARochester Red Wings · 531 PAwOBA .334 → .273 (−61)K% 38.0% → 45.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.04%	÷1.007	×1.200	—	—	45.32%
BB% (unintentional) /PA	7.91%	÷0.968	×0.690	—	×1.033	5.83%
HBP% /PA	0.38%	—	×0.940	—	×1.033	0.37%
Singles /BIP	22.46%	÷0.953	×0.930	×0.961	×1.033	21.77%
Doubles /BIP	7.97%	÷1.224	×0.830	×0.961	×1.033	5.37%
Triples /BIP	1.81%	÷0.971	×0.970	×0.961	×1.033	1.80%
Home runs /BIP	9.78%	÷0.951	×0.840	—	×1.033	8.92%

Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 90, 2B 145, 3B 94, K 101, BB 94 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.

Result: wOBA .334 → .273; ISO .236 → .192; BABIP .348 → .308. 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 AAChattanooga Lookouts · 560 PAwOBA .343 → .251 (−93)K% 34.8% → 43.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.82%	÷0.988	×1.220	—	—	42.99%
BB% (unintentional) /PA	9.11%	÷1.059	×0.680	—	×1.012	5.92%
HBP% /PA	0.36%	—	×0.840	—	×1.012	0.30%
Singles /BIP	17.92%	÷0.980	×0.920	×0.972	×1.012	16.55%
Doubles /BIP	10.10%	÷0.999	×0.910	×0.972	×1.012	9.05%
Triples /BIP	0.98%	÷1.020	×0.880	×0.972	×1.012	0.83%
Home runs /BIP	10.10%	÷1.232	×0.800	—	×1.012	6.64%

Factors used: league row SL. Park (home-season share, regressed): HR 146, 1B 96, 2B 100, 3B 104, K 98, BB 112 — applied at half strength. Age: age 24 vs a level average of 24.8 → +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 .343 → .251; ISO .259 → .173; BABIP .317 → .278. 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).

2014 A+Fort Myers Miracle · 555 PAwOBA .320 → .247 (−73)K% 28.1% → 39.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.11%	÷1.002	×1.420	—	—	39.85%
BB% (unintentional) /PA	7.93%	÷1.018	×0.750	—	×0.998	5.83%
HBP% /PA	0.36%	—	×0.930	—	×0.998	0.33%
Singles /BIP	22.64%	÷1.033	×0.920	×1.014	×0.998	20.40%
Doubles /BIP	5.44%	÷1.011	×0.960	×1.014	×0.998	5.23%
Triples /BIP	0.29%	÷0.929	×0.810	×1.014	×0.998	0.25%
Home runs /BIP	7.16%	÷0.995	×0.880	—	×0.998	6.32%

Factors used: league row FSL. Park (home-season share, regressed): HR 99, 1B 107, 2B 102, 3B 86, K 100, BB 104 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .320 → .247; ISO .190 → .147; BABIP .303 → .273. 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 ACedar Rapids Kernels · 553 PAwOBA .356 → .281 (−75)K% 20.8% → 29.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.80%	÷0.954	×1.360	—	—	29.66%
BB% (unintentional) /PA	5.06%	÷1.074	×0.690	—	—	3.25%
HBP% /PA	0.72%	—	×0.780	—	—	0.56%
Singles /BIP	19.34%	÷0.928	×0.920	×0.993	—	19.04%
Doubles /BIP	7.89%	÷0.968	×0.830	×0.993	—	6.72%
Triples /BIP	1.78%	÷1.023	×0.910	×0.993	—	1.57%
Home runs /BIP	6.87%	÷1.132	×0.800	—	—	4.85%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 86, 2B 94, 3B 105, K 91, BB 115 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .356 → .281; ISO .248 → .177; BABIP .304 → .280. 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).

2012 ROKElizabethton Twins · 254 PAwOBA .338 → .229 (−109)K% 29.9% → 42.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.92%	÷1.000	×1.420	—	—	42.49%
BB% (unintentional) /PA	7.48%	÷1.000	×0.640	—	×0.985	4.72%
HBP% /PA	0.39%	—	×0.740	—	×0.985	0.29%
Singles /BIP	21.15%	÷1.000	×0.840	×1.022	×0.985	17.88%
Doubles /BIP	4.49%	÷1.000	×0.740	×1.022	×0.985	3.34%
Triples /BIP	2.56%	÷1.000	×0.740	×1.022	×0.985	1.91%
Home runs /BIP	8.97%	÷1.000	×0.800	—	×0.985	7.07%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .338 → .229; ISO .246 → .163; BABIP .310 → .249. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .