Brandon Bednar

Pos2B

B/TR/R

Born1992-03-21

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	AA/A+SF	476	.285/.323/.367	6	8	65	—	.259/.291/.331
2017	25	AASF	448	.280/.329/.350	1	2	65	—	.256/.295/.313
2018	26	AACOL	293	.279/.326/.426	7	2	72	—	.245/.282/.347

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)
2014	22	A+	San Jose Giants	—	212	195	47	7	0	5	12	27	4	3	3	241	299	354	652	113	256	13	6	294	63	—	—	—	—	—	—
2014	22	A	Augusta GreenJackets	—	313	291	80	9	2	1	14	51	4	8	6	275	317	330	647	55	326	16	4	291	49	—	—	—	—	—	—
2015	23	A+	San Jose Giants	—	373	346	82	18	2	3	15	54	5	3	4	237	279	327	605	90	271	14	4	268	36	—	—	—	—	—	—
2016	24	AA	Richmond Flying Squirrels	—	237	224	64	11	1	2	8	40	3	4	4	286	319	371	690	85	337	17	3	308	70	—	—	—	—	—	—
2016	24	A+	San Jose Giants	—	239	218	62	3	1	4	8	46	6	4	1	284	328	362	690	78	337	19	3	304	60	—	—	—	—	—	—
2017	25	AA	Richmond Flying Squirrels	—	448	411	115	24	1	1	26	63	4	2	2	280	329	350	679	71	325	14	6	304	65	—	—	—	—	—	—
2018	26	AA	Hartford Yard Goats	—	293	272	76	15	2	7	16	54	3	2	2	279	326	426	753	147	324	18	5	333	72	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	22	A+ MLE	San Jose Giants	—	212	199	45	6	0	5	8	35	4	3	3	226	270	332	602	106	246	17	4	262	63	—	—	—	—	—	—
2014	22	A MLE	Augusta GreenJackets	—	313	295	69	7	2	1	10	65	4	8	6	234	269	281	550	47	287	21	3	241	49	—	—	—	—	—	—
2015	23	A+ MLE	San Jose Giants	—	373	351	72	14	1	3	10	73	5	3	4	205	238	276	514	71	243	20	3	221	36	—	—	—	—	—	—
2016	24	AA MLE	Richmond Flying Squirrels	—	237	227	61	10	1	2	5	50	3	4	4	269	294	348	642	79	324	21	2	271	70	—	—	—	—	—	—
2016	24	A+ MLE	San Jose Giants	—	239	220	55	3	1	3	6	62	6	4	1	250	289	314	602	64	304	26	3	257	60	—	—	—	—	—	—
2017	25	AA MLE	Richmond Flying Squirrels	—	448	418	107	19	1	1	19	81	4	2	2	256	295	313	608	57	304	18	4	265	65	—	—	—	—	—	—
2018	26	AA MLE	Hartford Yard Goats	—	293	277	68	12	2	4	11	64	3	2	2	245	282	347	628	101	299	22	4	275	72	—	—	—	—	—	—
2014	22	A MLE	2 teams	—	525	494	114	14	2	6	18	100	8	11	9	231	269	304	573	73	276	19	3	249	55	—	—	—	—	—	—
2014	22	A RAW	2 teams	—	525	486	127	16	2	6	26	78	8	11	9	261	310	340	649	78	298	15	5	292	55	—	—	—	—	—	—
2015	23	A+ MLE	San Jose Giants	—	373	351	72	14	1	3	10	73	5	3	4	205	238	276	514	71	249	20	3	221	36	—	—	—	—	—	—
2015	23	A+ RAW	San Jose Giants	—	373	346	82	18	2	3	15	54	5	3	4	237	279	327	605	90	271	14	4	268	36	—	—	—	—	—	—
2016	24	A+ MLE	2 teams	—	476	447	115	12	2	5	11	112	9	8	5	257	289	327	616	69	327	24	2	264	65	—	—	—	—	—	—
2016	24	A+ RAW	2 teams	—	476	442	126	14	2	6	16	86	9	8	5	285	323	367	690	81	337	18	3	306	65	—	—	—	—	—	—
2017	25	AA MLE	Richmond Flying Squirrels	—	448	418	107	19	1	1	19	81	4	2	2	256	295	313	608	57	312	18	4	265	65	—	—	—	—	—	—
2017	25	AA RAW	Richmond Flying Squirrels	—	448	411	115	24	1	1	26	63	4	2	2	280	329	350	679	71	325	14	6	304	65	—	—	—	—	—	—
2018	26	AA MLE	Hartford Yard Goats	—	293	277	68	12	2	4	11	64	3	2	2	245	282	347	628	101	303	22	4	275	72	—	—	—	—	—	—
2018	26	AA RAW	Hartford Yard Goats	—	293	272	76	15	2	7	16	54	3	2	2	279	326	426	753	147	324	18	5	333	72	—	—	—	—	—	—
2014	22	A MLE	2 teams	—	525	494	114	14	2	6	18	100	8	11	9	231	269	304	573	73	270	19	3	249	55	—	—	—	—	—	—
2015	23	A+ MLE	San Jose Giants	—	373	355	72	14	1	3	10	73	5	3	4	203	238	273	511	70	243	20	3	221	36	—	—	—	—	—	—
2016	24	A+ MLE	2 teams	—	476	453	115	12	2	5	11	112	9	8	5	254	289	322	611	68	314	24	2	264	65	—	—	—	—	—	—
2017	25	AA MLE	Richmond Flying Squirrels	—	448	422	107	19	1	1	19	81	4	2	2	254	295	310	605	57	304	18	4	265	65	—	—	—	—	—	—
2018	26	AA MLE	Hartford Yard Goats	—	293	277	68	12	2	4	11	64	3	2	2	245	282	347	628	101	299	22	4	275	72	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2115	1987	476	71	8	19	69	430	29	26	22	240	275	312	587	72	294	20	3	255	58	-105	-4	+0	+8	+46	-5.6
/ 162G	—	MLE		—	650	611	146	22	2	6	21	132	9	8	7	239	275	311	586	72	292	20	3	255	58	-32	-1	+0	+2	+14	-1.7

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 AAHartford Yard Goats · 293 PAwOBA .326 → .275 (−51)K% 18.4% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.43%	÷1.035	×1.220	—	—	21.73%
BB% (unintentional) /PA	5.46%	÷1.051	×0.700	—	×0.988	3.59%
HBP% /PA	1.02%	—	×0.850	—	×0.988	0.86%
Singles /BIP	23.85%	÷1.011	×0.970	×1.020	×0.988	23.07%
Doubles /BIP	6.88%	÷1.081	×0.860	×1.020	×0.988	5.52%
Triples /BIP	0.92%	÷0.948	×0.950	×1.020	×0.988	0.93%
Home runs /BIP	3.21%	÷1.194	×0.780	—	×0.988	2.07%

Factors used: league row EL. Park (home-season share, regressed): HR 139, 1B 102, 2B 116, 3B 90, K 107, BB 110 — 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 ×1.020.

Result: wOBA .326 → .275; ISO .147 → .108; BABIP .324 → .299. 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 AARichmond Flying Squirrels · 448 PAwOBA .299 → .265 (−33)K% 14.1% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.06%	÷0.948	×1.220	—	—	18.10%
BB% (unintentional) /PA	5.80%	÷0.974	×0.700	—	×0.998	4.16%
HBP% /PA	0.89%	—	×0.850	—	×0.998	0.76%
Singles /BIP	25.57%	÷1.004	×0.970	×1.011	×0.998	24.92%
Doubles /BIP	6.90%	÷1.096	×0.860	×1.011	×0.998	5.46%
Triples /BIP	0.29%	÷0.900	×0.950	×1.011	×0.998	0.31%
Home runs /BIP	0.29%	÷0.848	×0.780	—	×0.998	0.26%

Factors used: league row EL. Park (home-season share, regressed): HR 70, 1B 101, 2B 119, 3B 80, K 90, BB 95 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .299 → .265; ISO .071 → .058; BABIP .325 → .304. 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 A+San Jose Giants · 239 PAwOBA .301 → .257 (−44)K% 19.2% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.25%	÷0.998	×1.340	—	—	25.85%
BB% (unintentional) /PA	3.35%	÷0.992	×0.710	—	×0.988	2.37%
HBP% /PA	2.51%	—	×0.790	—	×0.988	1.96%
Singles /BIP	31.40%	÷1.008	×0.910	×1.019	×0.988	28.54%
Doubles /BIP	1.74%	÷0.951	×0.820	×1.019	×0.988	1.51%
Triples /BIP	0.58%	÷0.900	×0.760	×1.019	×0.988	0.49%
Home runs /BIP	2.33%	÷1.045	×0.920	—	×0.988	2.02%

Factors used: league row CAL. Park (home-season share, regressed): HR 109, 1B 102, 2B 90, 3B 80, K 100, BB 98 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .301 → .257; ISO .078 → .066; BABIP .337 → .304. 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 AARichmond Flying Squirrels · 237 PAwOBA .302 → .271 (−31)K% 16.9% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.88%	÷0.975	×1.220	—	—	21.12%
BB% (unintentional) /PA	3.38%	÷1.155	×0.700	—	×1.012	2.07%
HBP% /PA	1.27%	—	×0.850	—	×1.012	1.09%
Singles /BIP	27.17%	÷0.994	×0.970	×0.995	×1.012	26.68%
Doubles /BIP	5.98%	÷0.975	×0.860	×0.995	×1.012	5.31%
Triples /BIP	0.54%	÷1.150	×0.950	×0.995	×1.012	0.45%
Home runs /BIP	1.09%	÷0.978	×0.780	—	×1.012	0.88%

Factors used: league row EL. Park (home-season share, regressed): HR 96, 1B 99, 2B 95, 3B 130, K 95, BB 131 — 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 ×0.995.

Result: wOBA .302 → .271; ISO .085 → .071; BABIP .337 → .324. 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 A+San Jose Giants · 373 PAwOBA .261 → .221 (−40)K% 14.5% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.48%	÷0.983	×1.340	—	—	19.74%
BB% (unintentional) /PA	3.75%	÷0.996	×0.710	—	×0.998	2.67%
HBP% /PA	1.34%	—	×0.790	—	×0.998	1.06%
Singles /BIP	20.21%	÷0.971	×0.910	×1.010	×0.998	19.08%
Doubles /BIP	6.16%	÷1.071	×0.820	×1.010	×0.998	4.76%
Triples /BIP	0.68%	÷1.150	×0.760	×1.010	×0.998	0.46%
Home runs /BIP	1.03%	÷1.031	×0.920	—	×0.998	0.92%

Factors used: league row CAL. Park (home-season share, regressed): HR 106, 1B 94, 2B 114, 3B 130, K 97, BB 99 — 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 ×1.010.

Result: wOBA .261 → .221; ISO .090 → .069; BABIP .271 → .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).

2014 AAugusta GreenJackets · 313 PAwOBA .286 → .241 (−45)K% 16.3% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.29%	÷1.053	×1.340	—	—	20.73%
BB% (unintentional) /PA	4.47%	÷0.966	×0.660	—	—	3.05%
HBP% /PA	1.28%	—	×0.770	—	—	0.98%
Singles /BIP	28.33%	÷1.055	×0.920	×1.009	—	24.92%
Doubles /BIP	3.75%	÷0.979	×0.820	×1.009	—	3.17%
Triples /BIP	0.83%	÷0.934	×0.940	×1.009	—	0.85%
Home runs /BIP	0.42%	÷0.890	×0.820	—	—	0.38%

Factors used: league row SAL. Park (home-season share, regressed): HR 78, 1B 111, 2B 96, 3B 87, K 111, BB 93 — 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 ×1.009.

Result: wOBA .286 → .241; ISO .055 → .049; BABIP .326 → .287. 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+San Jose Giants · 212 PAwOBA .286 → .262 (−24)K% 12.7% → 16.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.74%	÷1.026	×1.340	—	—	16.64%
BB% (unintentional) /PA	5.19%	÷1.009	×0.710	—	×1.012	3.69%
HBP% /PA	1.89%	—	×0.790	—	×1.012	1.51%
Singles /BIP	20.83%	÷0.996	×0.910	×1.050	×1.012	20.22%
Doubles /BIP	4.17%	÷0.953	×0.820	×1.050	×1.012	3.81%
Triples /BIP	0.00%	÷0.979	×0.760	×1.050	×1.012	0.00%
Home runs /BIP	2.98%	÷0.931	×0.920	—	×1.012	2.98%

Factors used: league row CAL. Park (home-season share, regressed): HR 86, 1B 99, 2B 91, 3B 96, K 105, BB 102 — 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 ×1.050.

Result: wOBA .286 → .262; ISO .113 → .108; BABIP .256 → .246. 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).