Rob Segedin

Pos1B

B/TR/R

Born1988-11-10

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	27	AAAOklahoma City…	424	.319/.395/.598	21	3	107	—	.249/.310/.459
2016	27	MLBLAD	83	.233/.309/.370	2	0	94	-0.6
2017	28	AAAOklahoma City…	101	.320/.347/.515	4	0	80	—	.255/.277/.398
2017	28	MLBLAD	20	.200/.200/.300	0	0	40	-0.3
2018	29	AAAOklahoma City…	134	.211/.308/.325	3	0	34	—	.160/.231/.235
2019	30	No MLB games played
2020	31	No MLB games played
2021	32	No MLB games played
2022	33	No MLB games played
2023	34	No MLB games played
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR -1.0

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)
2011	22	A+	Tampa Yankees	—	207	188	46	4	1	2	15	40	3	4	1	245	311	309	619	64	301	19	7	284	47	—	—	—	—	—	—
2011	22	A	Charleston RiverDogs	—	260	226	73	15	3	5	23	39	7	3	2	323	402	482	885	159	366	15	9	388	101	—	—	—	—	—	—
2011	22	INTL	Phoenix Desert Dogs	—	128	108	27	6	1	3	17	25	3	0	1	250	367	407	775	157	300	20	13	352	124	—	—	—	—	—	—
2012	23	AA	Trenton Thunder	—	182	165	31	6	0	3	13	33	2	0	0	188	256	279	534	91	214	18	7	244	30	—	—	—	—	—	—
2012	23	A+	Tampa Yankees	—	326	290	86	21	1	7	29	53	3	9	4	297	366	448	815	152	338	16	9	359	76	—	—	—	—	—	—
2013	24	AA	Trenton Thunder	—	82	71	24	10	0	3	6	18	2	0	1	338	405	606	1.011	268	396	22	7	423	115	—	—	—	—	—	—
2014	25	AAA	Scranton/Wilkes-Barre RailRiders	—	85	77	11	2	0	1	4	14	1	0	0	143	195	208	403	65	154	16	5	181	-5	—	—	—	—	—	—
2014	25	AA	Trenton Thunder	—	394	325	92	21	1	8	52	60	13	1	0	283	403	428	830	145	322	15	13	374	99	—	—	—	—	—	—
2015	26	AAA	Scranton/Wilkes-Barre RailRiders	—	181	162	45	8	1	4	15	34	3	2	0	278	350	414	764	136	331	19	8	342	83	—	—	—	—	—	—
2015	26	AA	Trenton Thunder	—	103	89	27	4	0	3	11	17	1	1	1	303	386	449	836	146	338	17	11	368	98	—	—	—	—	—	—
2015	26	INTL	Estrellas de Oriente	—	38	34	7	1	0	0	3	6	1	0	0	206	289	235	525	29	250	16	8	251	56	—	—	—	—	—	—
2016	27	MLB	Los Angeles Dodgers	—	83	73	17	2	1	2	6	22	2	0	0	233	309	370	679	137	294	27	7	300	94	-1	+0	-2	-5	+2	-0.6
2016	27	AAA	Oklahoma City Dodgers	—	424	373	119	23	9	21	40	81	7	3	4	319	395	598	993	279	356	19	9	426	107	—	—	—	—	—	—
2017	28	MLB	Los Angeles Dodgers	—	20	20	4	2	0	0	0	7	0	0	0	200	200	300	500	100	308	35	0	219	40	-1	+0	-0	-2	+0	-0.3
2017	28	AAA	Oklahoma City Dodgers	—	101	97	31	7	0	4	4	16	0	0	1	320	347	515	862	196	351	16	4	378	80	—	—	—	—	—	—
2018	29	AAA	Oklahoma City Dodgers	—	134	114	24	4	0	3	15	24	1	0	0	211	308	325	632	114	231	18	11	283	34	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	103	93	21	4	1	2	6	29	2	0	0	226	287	355	642	129	297	28	6	284	78	-3	+0	-2	-8	+2	-1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	22	A+ MLE	Tampa Yankees	—	207	191	41	4	1	2	12	55	3	4	1	215	272	277	549	63	280	27	6	237	47	—	—	—	—	—	—
2011	22	A MLE	Charleston RiverDogs	—	260	235	66	13	2	4	14	53	7	3	2	281	340	404	744	123	330	20	5	318	101	—	—	—	—	—	—
2012	23	AA MLE	Trenton Thunder	—	182	168	29	5	0	2	10	41	2	0	0	173	228	238	466	65	208	23	5	212	30	—	—	—	—	—	—
2012	23	A+ MLE	Tampa Yankees	—	326	302	70	17	1	6	17	77	3	9	4	232	280	354	634	123	283	24	5	280	76	—	—	—	—	—	—
2013	24	AA MLE	Trenton Thunder	—	82	73	19	7	0	2	4	22	2	0	1	260	316	438	755	178	316	27	5	338	115	—	—	—	—	—	—
2014	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	85	78	11	2	0	1	3	17	1	0	0	141	183	205	388	64	142	20	4	161	-5	—	—	—	—	—	—
2014	25	AA MLE	Trenton Thunder	—	394	341	85	18	1	7	36	74	13	1	0	249	344	370	713	120	287	19	9	314	99	—	—	—	—	—	—
2015	26	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	181	168	42	7	1	4	9	41	3	2	0	250	300	375	675	125	305	23	5	291	83	—	—	—	—	—	—
2015	26	AA MLE	Trenton Thunder	—	103	93	26	4	0	2	7	22	1	1	1	280	337	387	724	108	323	21	7	313	98	—	—	—	—	—	—
2016	27	MLB MLE	Los Angeles Dodgers	—	83	73	17	2	1	2	6	22	2	0	0	233	309	370	679	137	294	27	7	307	94	-1	+0	-2	-5	+2	-0.6
2016	27	AAA MLE	Oklahoma City Dodgers	—	424	386	96	18	6	17	27	107	7	3	4	249	310	459	768	210	293	25	6	326	107	—	—	—	—	—	—
2017	28	MLB MLE	Los Angeles Dodgers	—	20	20	4	2	0	0	0	7	0	0	0	200	200	300	500	100	308	35	0	227	40	-1	+0	-0	-2	+0	-0.3
2017	28	AAA MLE	Oklahoma City Dodgers	—	101	98	25	5	0	3	3	21	0	0	1	255	277	398	675	143	293	21	3	286	80	—	—	—	—	—	—
2018	29	AAA MLE	Oklahoma City Dodgers	—	134	119	19	3	0	2	10	32	1	0	0	160	231	235	466	76	187	24	7	219	34	—	—	—	—	—	—
2011	22	A MLE	3 teams	—	595	545	135	21	4	7	32	137	13	7	4	248	305	339	645	92	316	23	5	282	77	—	—	—	—	—	—
2011	22	A RAW	3 teams	—	595	522	146	25	5	10	55	104	13	7	4	280	363	404	767	125	330	17	9	344	77	—	—	—	—	—	—
2012	23	A+ MLE	2 teams	—	508	470	100	22	1	9	27	117	5	9	4	213	263	321	584	109	260	23	5	256	59	—	—	—	—	—	—
2012	23	A+ RAW	2 teams	—	508	455	117	27	1	10	42	86	5	9	4	257	327	387	714	130	293	17	8	318	59	—	—	—	—	—	—
2013	24	AA MLE	Trenton Thunder	—	82	73	19	7	0	2	4	22	2	0	1	260	316	438	755	178	327	27	5	338	115	—	—	—	—	—	—
2013	24	AA RAW	Trenton Thunder	—	82	71	24	10	0	3	6	18	2	0	1	338	405	606	1.011	268	396	22	7	423	115	—	—	—	—	—	—
2014	25	AA MLE	2 teams	—	479	419	95	20	1	8	39	91	14	1	0	227	314	337	650	110	266	19	8	287	80	—	—	—	—	—	—
2014	25	AA RAW	2 teams	—	479	402	103	23	1	9	56	74	14	1	0	256	367	386	752	129	288	15	12	339	80	—	—	—	—	—	—
2015	26	AAA MLE	3 teams	—	322	296	76	12	1	7	18	72	5	3	1	257	310	375	685	118	315	22	6	299	88	—	—	—	—	—	—
2015	26	AAA RAW	3 teams	—	322	285	79	13	1	7	29	57	5	3	1	277	354	404	758	126	323	18	9	339	88	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	507	459	113	20	7	19	33	129	9	3	4	246	309	444	754	198	297	25	7	323	105	—	—	—	—	—	—
2016	27	AAA RAW	2 teams	—	507	446	136	25	10	23	46	103	9	3	4	305	381	561	942	256	347	20	9	405	105	—	—	—	—	—	—
2017	28	AAA MLE	2 teams	—	121	118	29	7	0	3	3	28	0	0	1	246	264	381	646	136	299	23	2	276	73	—	—	—	—	—	—
2017	28	AAA RAW	2 teams	—	121	117	35	9	0	4	4	23	0	0	1	299	322	479	801	179	344	19	3	352	73	—	—	—	—	—	—
2018	29	AAA MLE	Oklahoma City Dodgers	—	134	119	19	3	0	2	10	32	1	0	0	160	231	235	466	76	191	24	7	219	34	—	—	—	—	—	—
2018	29	AAA RAW	Oklahoma City Dodgers	—	134	114	24	4	0	3	15	24	1	0	0	211	308	325	632	114	231	18	11	283	34	—	—	—	—	—	—
2011	22	A MLE	3 teams	—	595	545	135	21	4	7	32	137	13	7	4	248	305	339	645	92	308	23	5	282	77	—	—	—	—	—	—
2012	23	A+ MLE	2 teams	—	508	471	100	22	1	9	27	117	5	9	4	212	263	321	584	108	256	23	5	256	59	—	—	—	—	—	—
2013	24	AA MLE	Trenton Thunder	—	82	76	19	7	0	2	4	22	2	0	1	250	316	421	738	171	316	27	5	338	115	—	—	—	—	—	—
2014	25	AA MLE	2 teams	—	479	423	95	20	1	8	39	91	14	1	0	225	314	333	647	109	261	19	8	287	80	—	—	—	—	—	—
2015	26	AAA MLE	3 teams	—	322	296	76	12	1	7	18	72	5	3	1	257	310	375	685	118	312	22	6	299	88	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	507	460	113	20	7	19	33	129	9	3	4	246	309	443	753	198	293	25	7	323	105	—	—	—	—	—	—
2017	28	AAA MLE	2 teams	—	121	117	29	7	0	3	3	28	0	0	1	248	264	385	649	137	295	23	2	276	73	—	—	—	—	—	—
2018	29	AAA MLE	Oklahoma City Dodgers	—	134	122	19	3	0	2	10	32	1	0	0	156	231	230	460	74	187	24	7	219	34	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	103	93	21	4	1	2	6	29	2	0	0	226	287	355	642	129	297	28	6	284	80	-3	+0	-2	-8	+2	-1.0
/ 162G	—	A+C		—	650	587	132	25	6	13	38	183	13	0	0	225	287	354	642	129	295	28	6	284	80	-17	+0	-13	-48	+14	-6.5
Career	—	MLE		—	2748	2499	586	112	14	57	166	628	49	23	15	234	295	359	654	124	287	23	6	286	80	-3	+0	-2	-8	+2	-1.0
/ 162G	—	MLE		—	650	591	137	26	3	13	39	149	12	5	4	232	293	352	645	120	284	23	6	286	80	-17	+0	-13	-48	+14	-6.5

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 AAAOklahoma City Dodgers · 134 PAwOBA .285 → .219 (−65)K% 17.9% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.91%	÷0.970	×1.290	—	—	23.83%
BB% (unintentional) /PA	11.19%	÷1.021	×0.710	—	×0.972	7.56%
HBP% /PA	0.75%	—	×0.980	—	×0.972	0.71%
Singles /BIP	18.89%	÷0.992	×0.900	×0.950	×0.972	15.82%
Doubles /BIP	4.44%	÷1.029	×0.810	×0.950	×0.972	3.23%
Triples /BIP	0.00%	÷1.020	×0.810	×0.950	×0.972	0.00%
Home runs /BIP	3.33%	÷1.020	×0.780	—	×0.972	2.48%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 98, 2B 106, 3B 104, K 94, BB 104 — 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 .285 → .219; ISO .114 → .085; BABIP .231 → .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 AAAOklahoma City Dodgers · 101 PAwOBA .367 → .286 (−81)K% 15.8% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.84%	÷1.000	×1.290	—	—	20.44%
BB% (unintentional) /PA	3.96%	÷1.017	×0.710	—	×0.982	2.71%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	24.69%	÷0.978	×0.900	×0.973	×0.982	21.71%
Doubles /BIP	8.64%	÷1.038	×0.810	×0.973	×0.982	6.44%
Triples /BIP	0.00%	÷1.150	×0.810	×0.973	×0.982	0.00%
Home runs /BIP	4.94%	÷0.989	×0.780	—	×0.982	3.82%

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 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 ×0.973.

Result: wOBA .367 → .286; ISO .196 → .143; BABIP .351 → .293. 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 AAAOklahoma City Dodgers · 424 PAwOBA .418 → .326 (−92)K% 19.1% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.10%	÷0.972	×1.290	—	—	25.34%
BB% (unintentional) /PA	9.43%	÷1.059	×0.710	—	×0.992	6.28%
HBP% /PA	1.65%	—	×0.980	—	×0.992	1.60%
Singles /BIP	22.60%	÷1.017	×0.900	×0.978	×0.992	19.41%
Doubles /BIP	7.88%	÷0.975	×0.810	×0.978	×0.992	6.35%
Triples /BIP	3.08%	÷1.104	×0.810	×0.978	×0.992	2.19%
Home runs /BIP	7.19%	÷0.947	×0.780	—	×0.992	5.88%

Factors used: league row PCL. Park (home-season share, regressed): HR 89, 1B 103, 2B 95, 3B 121, K 94, BB 112 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .418 → .326; ISO .279 → .215; BABIP .356 → .293. 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 AAAScranton/Wilkes-Barre RailRiders · 181 PAwOBA .333 → .291 (−42)K% 18.8% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.78%	÷0.991	×1.200	—	—	22.76%
BB% (unintentional) /PA	8.29%	÷1.139	×0.690	—	×1.003	5.03%
HBP% /PA	1.66%	—	×0.940	—	×1.003	1.56%
Singles /BIP	25.00%	÷1.011	×0.930	×1.004	×1.003	23.17%
Doubles /BIP	6.25%	÷0.903	×0.830	×1.004	×1.003	5.79%
Triples /BIP	0.78%	÷1.150	×0.970	×1.004	×1.003	0.66%
Home runs /BIP	3.12%	÷0.878	×0.840	—	×1.003	3.00%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 102, 2B 81, 3B 130, K 98, BB 128 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .333 → .291; ISO .136 → .127; BABIP .331 → .305. 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 AATrenton Thunder · 103 PAwOBA .365 → .313 (−52)K% 16.5% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.50%	÷0.950	×1.220	—	—	21.19%
BB% (unintentional) /PA	10.68%	÷1.067	×0.700	—	×0.978	6.85%
HBP% /PA	0.97%	—	×0.850	—	×0.978	0.81%
Singles /BIP	27.78%	÷0.977	×0.970	×1.016	×0.978	27.39%
Doubles /BIP	5.56%	÷0.978	×0.860	×1.016	×0.978	4.85%
Triples /BIP	0.00%	÷1.150	×0.950	×1.016	×0.978	0.00%
Home runs /BIP	4.17%	÷1.153	×0.780	—	×0.978	2.76%

Factors used: league row EL. Park (home-season share, regressed): HR 131, 1B 95, 2B 96, 3B 130, K 90, BB 114 — 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 ×1.016.

Result: wOBA .365 → .313; ISO .146 → .108; BABIP .338 → .323. 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 AATrenton Thunder · 394 PAwOBA .367 → .314 (−53)K% 15.2% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.23%	÷0.994	×1.220	—	—	18.69%
BB% (unintentional) /PA	12.94%	÷0.977	×0.700	—	×0.988	9.16%
HBP% /PA	3.30%	—	×0.850	—	×0.988	2.77%
Singles /BIP	23.40%	÷1.000	×0.970	×0.956	×0.988	21.44%
Doubles /BIP	7.92%	÷0.972	×0.860	×0.956	×0.988	6.62%
Triples /BIP	0.38%	÷1.150	×0.950	×0.956	×0.988	0.29%
Home runs /BIP	3.02%	÷0.910	×0.780	—	×0.988	2.56%

Factors used: league row EL. Park (home-season share, regressed): HR 82, 1B 100, 2B 94, 3B 130, K 99, BB 95 — 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 ×0.956.

Result: wOBA .367 → .314; ISO .145 → .125; BABIP .322 → .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 AAAScranton/Wilkes-Barre RailRiders · 85 PAwOBA .183 → .161 (−23)K% 16.5% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.47%	÷0.970	×1.200	—	—	20.38%
BB% (unintentional) /PA	4.71%	÷0.985	×0.690	—	×1.018	3.35%
HBP% /PA	1.18%	—	×0.940	—	×1.018	1.13%
Singles /BIP	12.70%	÷0.984	×0.930	×0.971	×1.018	11.86%
Doubles /BIP	3.17%	÷0.936	×0.830	×0.971	×1.018	2.78%
Triples /BIP	0.00%	÷0.954	×0.970	×0.971	×1.018	0.00%
Home runs /BIP	1.59%	÷1.067	×0.840	—	×1.018	1.27%

Factors used: league row IL. Park (home-season share, regressed): HR 113, 1B 97, 2B 87, 3B 91, K 94, BB 97 — 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 ×0.971.

Result: wOBA .183 → .161; ISO .065 → .055; BABIP .154 → .142. 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 AATrenton Thunder · 82 PAwOBA .427 → .338 (−89)K% 22.0% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.95%	÷1.003	×1.220	—	—	26.70%
BB% (unintentional) /PA	7.32%	÷1.055	×0.700	—	×0.998	4.85%
HBP% /PA	2.44%	—	×0.850	—	×0.998	2.07%
Singles /BIP	20.75%	÷0.996	×0.970	×0.950	×0.998	19.16%
Doubles /BIP	18.87%	÷1.204	×0.860	×0.950	×0.998	12.78%
Triples /BIP	0.00%	÷1.140	×0.950	×0.950	×0.998	0.00%
Home runs /BIP	5.66%	÷0.979	×0.780	—	×0.998	4.50%

Factors used: league row EL. Park (home-season share, regressed): HR 96, 1B 99, 2B 141, 3B 128, K 101, BB 111 — 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 ×0.950.

Result: wOBA .427 → .338; ISO .268 → .201; BABIP .396 → .316. 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 — .