Nate Orf

Pos2B

B/TR/R

Born1990-02-01

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	27	AAA/INTL2 orgs	630	.323/.415/.477	9	10	100	—	.244/.313/.376
2018	28	AAA/INTL2 orgs	543	.289/.395/.407	6	22	82	—	.231/.318/.317
2018	28	MLBMIL	25	.095/.240/.238	1	1	41	0.2
2019	29	AAASD	499	.272/.400/.410	11	11	79	—	.215/.317/.320
2020	30	No MLB games played
2021	31	No MLB games played
2022	32	No MLB games played
2023	33	No MLB games played
2024	34	No MLB games played
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR 0.2

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)
2013	23	ROK	Helena Brewers	—	175	138	43	10	2	0	25	21	10	3	3	312	451	413	864	101	364	12	14	394	80	—	—	—	—	—	—
2014	24	A+	Brevard County Manatees	—	538	451	130	30	4	2	55	74	22	7	6	288	392	386	778	98	336	14	10	351	89	—	—	—	—	—	—
2015	25	AA	Biloxi Shuckers	—	511	424	116	26	4	2	63	70	11	5	3	274	382	368	749	94	319	14	12	337	82	—	—	—	—	—	—
2015	25	INTL	Surprise Saguaros	—	35	28	13	3	0	0	5	2	1	0	0	464	559	571	1.130	107	481	6	14	489	217	—	—	—	—	—	—
2016	26	AAA	Colorado Springs Sky Sox	—	381	326	94	19	3	2	32	47	10	6	3	288	370	383	753	95	327	12	8	332	70	—	—	—	—	—	—
2016	26	AA	Biloxi Shuckers	—	156	128	27	4	0	0	18	16	7	3	2	211	340	242	582	31	237	10	12	280	47	—	—	—	—	—	—
2017	27	AAA	Colorado Springs Sky Sox	—	507	434	139	32	11	9	54	75	7	7	2	320	404	507	911	187	362	15	11	393	91	—	—	—	—	—	—
2017	27	INTL	Tiburones de La Guaira	—	123	98	33	1	0	0	14	15	8	3	1	337	458	347	805	10	388	12	11	373	139	—	—	—	—	—	—
2018	28	MLB	Milwaukee Brewers	—	25	21	2	0	0	1	3	8	1	1	0	95	240	238	478	143	83	32	12	233	41	-2	+0	+1	+2	+1	0.2
2018	28	AAA	Colorado Springs Sky Sox	—	478	399	119	27	3	6	50	72	20	22	4	298	403	426	829	128	345	15	10	370	82	—	—	—	—	—	—
2018	28	INTL	Leones del Escogido	—	65	55	12	3	0	0	3	11	7	0	1	218	338	273	611	55	273	17	5	296	86	—	—	—	—	—	—
2019	29	AAA	San Antonio Missions	—	499	405	110	21	1	11	65	74	22	11	3	272	400	410	810	138	307	15	13	366	79	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	25	21	2	0	0	1	3	8	1	1	0	95	240	238	478	143	83	32	12	233	44	-2	+0	+1	+2	+1	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	23	ROK MLE	Helena Brewers	—	175	148	34	7	1	0	15	30	10	3	3	230	341	291	632	61	282	17	9	286	80	—	—	—	—	—	—
2014	24	A+ MLE	Brevard County Manatees	—	538	466	116	30	3	2	40	111	22	7	6	249	337	339	676	90	308	21	7	300	89	—	—	—	—	—	—
2015	25	AA MLE	Biloxi Shuckers	—	511	446	110	26	4	2	41	88	11	5	3	247	325	336	662	90	288	17	8	289	82	—	—	—	—	—	—
2016	26	AAA MLE	Colorado Springs Sky Sox	—	381	337	82	14	2	2	21	63	10	6	3	243	307	315	622	71	276	17	6	271	70	—	—	—	—	—	—
2016	26	AA MLE	Biloxi Shuckers	—	156	136	27	4	0	0	10	20	7	3	2	199	288	228	516	29	220	13	6	237	47	—	—	—	—	—	—
2017	27	AAA MLE	Colorado Springs Sky Sox	—	507	450	110	21	7	8	38	101	7	7	2	244	313	376	689	131	284	20	7	302	91	—	—	—	—	—	—
2018	28	MLB MLE	Milwaukee Brewers	—	25	21	2	0	0	1	3	8	1	1	0	95	240	238	478	143	83	32	12	229	41	-2	+0	+1	+2	+1	0.2
2018	28	AAA MLE	Colorado Springs Sky Sox	—	478	416	96	20	2	4	33	100	20	22	4	231	318	317	635	87	281	21	7	289	82	—	—	—	—	—	—
2019	29	AAA MLE	San Antonio Missions	—	499	428	92	16	1	9	42	97	22	11	3	215	317	320	637	105	250	19	8	285	79	—	—	—	—	—	—
2013	23	ROK MLE	Helena Brewers	—	175	148	34	7	1	0	15	30	10	3	3	230	341	291	632	61	286	17	9	286	80	—	—	—	—	—	—
2013	23	ROK RAW	Helena Brewers	—	175	138	43	10	2	0	25	21	10	3	3	312	451	413	864	101	364	12	14	394	80	—	—	—	—	—	—
2014	24	A+ MLE	Brevard County Manatees	—	538	466	116	30	3	2	40	111	22	7	6	249	337	339	676	90	318	21	7	300	89	—	—	—	—	—	—
2014	24	A+ RAW	Brevard County Manatees	—	538	451	130	30	4	2	55	74	22	7	6	288	392	386	778	98	336	14	10	351	89	—	—	—	—	—	—
2015	25	AA MLE	2 teams	—	546	476	118	28	4	2	44	94	12	5	3	248	327	336	663	88	301	17	8	289	82	—	—	—	—	—	—
2015	25	AA RAW	2 teams	—	546	452	129	29	4	2	68	72	12	5	3	285	393	381	773	95	331	13	12	347	82	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	537	472	109	18	2	2	32	82	17	9	5	231	303	290	594	59	272	15	6	261	63	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	537	454	121	23	3	2	50	63	17	9	5	267	361	344	704	77	301	12	9	317	63	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	630	553	137	27	9	9	47	126	15	10	3	248	324	378	702	130	298	20	7	302	91	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	630	532	172	33	11	9	68	90	15	10	3	323	415	477	892	154	367	14	11	389	91	—	—	—	—	—	—
2018	28	AAA MLE	3 teams	—	568	490	111	23	2	6	41	122	28	23	5	227	322	318	640	92	285	21	7	286	80	—	—	—	—	—	—
2018	28	AAA RAW	3 teams	—	568	475	133	30	3	7	56	91	28	23	5	280	388	400	788	120	328	16	10	355	80	—	—	—	—	—	—
2019	29	AAA MLE	San Antonio Missions	—	499	428	92	16	1	9	42	97	22	11	3	215	317	320	637	105	256	19	8	285	79	—	—	—	—	—	—
2019	29	AAA RAW	San Antonio Missions	—	499	405	110	21	1	11	65	74	22	11	3	272	400	410	810	138	307	15	13	366	79	—	—	—	—	—	—
2013	23	ROK MLE	Helena Brewers	—	175	148	34	7	1	0	15	30	10	3	3	230	341	291	632	61	282	17	9	286	80	—	—	—	—	—	—
2014	24	A+ MLE	Brevard County Manatees	—	538	471	116	30	3	2	40	111	22	7	6	246	337	335	673	89	308	21	7	300	89	—	—	—	—	—	—
2015	25	AA MLE	2 teams	—	546	485	118	28	4	2	44	94	12	5	3	243	327	330	657	87	288	17	8	289	82	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	537	483	109	18	2	2	32	82	17	9	5	226	303	284	587	58	260	15	6	261	63	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	630	563	137	27	9	9	47	126	15	10	3	243	324	371	695	128	284	20	7	302	91	—	—	—	—	—	—
2018	28	AAA MLE	3 teams	—	568	494	111	23	2	6	41	122	28	23	5	225	322	316	638	91	271	21	7	286	80	—	—	—	—	—	—
2019	29	AAA MLE	San Antonio Missions	—	499	432	92	16	1	9	42	97	22	11	3	213	317	317	634	104	250	19	8	285	79	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	25	21	2	0	0	1	3	8	1	1	0	95	240	238	478	143	83	32	12	233	81	-2	+0	+1	+2	+1	0.2
/ 162G	—	A+C		—	650	546	52	0	0	26	78	208	26	26	0	95	240	238	478	143	83	32	12	233	81	-44	+5	+22	+53	+14	5.2
Career	—	MLE		—	3493	3033	717	149	22	30	261	662	126	68	28	236	323	330	653	93	289	19	7	288	81	-2	+0	+1	+2	+1	0.2
/ 162G	—	MLE		—	650	564	134	28	4	6	49	123	23	13	5	238	323	333	657	96	290	19	8	288	81	-44	+5	+22	+53	+14	5.2

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.

2019 AAASan Antonio Missions · 499 PAwOBA .358 → .285 (−73)K% 14.8% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.83%	÷0.979	×1.290	—	—	19.53%
BB% (unintentional) /PA	12.83%	÷1.055	×0.710	—	×0.982	8.48%
HBP% /PA	4.41%	—	×0.980	—	×0.982	4.24%
Singles /BIP	23.26%	÷0.995	×0.900	×0.950	×0.982	19.63%
Doubles /BIP	6.34%	÷1.045	×0.810	×0.950	×0.982	4.59%
Triples /BIP	0.30%	÷0.930	×0.810	×0.950	×0.982	0.25%
Home runs /BIP	3.32%	÷0.977	×0.780	—	×0.982	2.61%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 99, 2B 109, 3B 86, K 96, BB 111 — 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 ×0.950.

Result: wOBA .358 → .285; ISO .138 → .108; BABIP .307 → .250. 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).

2018 AAAColorado Springs Sky Sox · 478 PAwOBA .363 → .289 (−74)K% 15.1% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.06%	÷0.925	×1.290	—	—	21.00%
BB% (unintentional) /PA	9.62%	÷0.985	×0.710	—	×0.992	6.88%
HBP% /PA	4.18%	—	×0.980	—	×0.992	4.07%
Singles /BIP	25.38%	÷1.014	×0.900	×0.962	×0.992	21.48%
Doubles /BIP	8.26%	÷1.014	×0.810	×0.962	×0.992	6.29%
Triples /BIP	0.92%	÷1.150	×0.810	×0.962	×0.992	0.62%
Home runs /BIP	1.83%	÷1.124	×0.780	—	×0.992	1.26%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 103, 2B 103, 3B 130, K 85, BB 97 — 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 ×0.962.

Result: wOBA .363 → .289; ISO .128 → .092; BABIP .345 → .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).

2017 AAAColorado Springs Sky Sox · 507 PAwOBA .389 → .302 (−87)K% 14.8% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.79%	÷0.953	×1.290	—	—	20.02%
BB% (unintentional) /PA	10.45%	÷0.995	×0.710	—	×1.003	7.48%
HBP% /PA	1.38%	—	×0.980	—	×1.003	1.36%
Singles /BIP	24.23%	÷1.018	×0.900	×0.955	×1.003	20.53%
Doubles /BIP	8.91%	÷1.163	×0.810	×0.955	×1.003	5.95%
Triples /BIP	3.06%	÷1.150	×0.810	×0.955	×1.003	2.07%
Home runs /BIP	2.51%	÷0.933	×0.780	—	×1.003	2.10%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 104, 2B 133, 3B 130, K 91, BB 99 — 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 ×0.955.

Result: wOBA .389 → .302; ISO .187 → .136; BABIP .362 → .284. 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 AAAColorado Springs Sky Sox · 381 PAwOBA .326 → .271 (−55)K% 12.3% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.34%	÷0.964	×1.290	—	—	16.51%
BB% (unintentional) /PA	8.14%	÷1.052	×0.710	—	×1.018	5.59%
HBP% /PA	2.62%	—	×0.980	—	×1.018	2.62%
Singles /BIP	25.09%	÷1.046	×0.900	×1.015	×1.018	22.29%
Doubles /BIP	6.81%	÷1.196	×0.810	×1.015	×1.018	4.76%
Triples /BIP	1.08%	÷1.150	×0.810	×1.015	×1.018	0.78%
Home runs /BIP	0.72%	÷0.973	×0.780	—	×1.018	0.59%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 109, 2B 139, 3B 130, K 93, BB 110 — 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 ×1.015.

Result: wOBA .326 → .271; ISO .095 → .071; BABIP .327 → .276. 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 AABiloxi Shuckers · 156 PAwOBA .277 → .237 (−40)K% 10.3% → 12.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.26%	÷0.999	×1.220	—	—	12.53%
BB% (unintentional) /PA	11.54%	÷1.152	×0.680	—	×0.988	6.73%
HBP% /PA	4.49%	—	×0.840	—	×0.988	3.72%
Singles /BIP	20.54%	÷0.973	×0.920	×0.992	×0.988	19.03%
Doubles /BIP	3.57%	÷0.955	×0.910	×0.992	×0.988	3.34%
Triples /BIP	0.00%	÷0.922	×0.880	×0.992	×0.988	0.00%
Home runs /BIP	0.00%	÷1.243	×0.800	—	×0.988	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 149, 1B 95, 2B 91, 3B 84, K 100, BB 130 — 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 ×0.992.

Result: wOBA .277 → .237; ISO .031 → .031; BABIP .237 → .220. 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 AABiloxi Shuckers · 511 PAwOBA .331 → .289 (−42)K% 13.7% → 17.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.70%	÷0.973	×1.220	—	—	17.18%
BB% (unintentional) /PA	12.13%	÷1.018	×0.680	—	×0.998	8.09%
HBP% /PA	2.15%	—	×0.840	—	×0.998	1.80%
Singles /BIP	23.73%	÷1.030	×0.920	×0.992	×0.998	20.98%
Doubles /BIP	7.34%	÷0.943	×0.910	×0.992	×0.998	7.02%
Triples /BIP	1.13%	÷0.900	×0.880	×0.992	×0.998	1.09%
Home runs /BIP	0.56%	÷1.084	×0.800	—	×0.998	0.42%

Factors used: league row SL. Park (home-season share, regressed): HR 117, 1B 106, 2B 89, 3B 80, K 95, BB 104 — 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 ×0.992.

Result: wOBA .331 → .289; ISO .094 → .092; BABIP .319 → .288. 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+Brevard County Manatees · 538 PAwOBA .346 → .300 (−47)K% 13.8% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.75%	÷0.947	×1.420	—	—	20.64%
BB% (unintentional) /PA	10.22%	÷1.029	×0.750	—	×0.988	7.36%
HBP% /PA	4.09%	—	×0.930	—	×0.988	3.76%
Singles /BIP	24.93%	÷1.024	×0.920	×1.001	×0.988	22.16%
Doubles /BIP	7.96%	÷0.937	×0.960	×1.001	×0.988	8.07%
Triples /BIP	1.06%	÷0.900	×0.810	×1.001	×0.988	0.94%
Home runs /BIP	0.53%	÷0.954	×0.880	—	×0.988	0.48%

Factors used: league row FSL. Park (home-season share, regressed): HR 91, 1B 105, 2B 87, 3B 80, K 89, BB 106 — 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 ×1.001.

Result: wOBA .346 → .300; ISO .098 → .093; BABIP .336 → .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).

2013 ROKHelena Brewers · 175 PAwOBA .387 → .286 (−101)K% 12.0% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.00%	÷1.000	×1.440	—	—	17.28%
BB% (unintentional) /PA	14.29%	÷1.000	×0.610	—	×0.965	8.41%
HBP% /PA	5.71%	—	×0.720	—	×0.965	3.97%
Singles /BIP	26.50%	÷1.000	×0.820	×1.013	×0.965	21.25%
Doubles /BIP	8.55%	÷1.000	×0.720	×1.013	×0.965	6.02%
Triples /BIP	1.71%	÷1.000	×0.720	×1.013	×0.965	1.20%
Home runs /BIP	0.00%	÷1.000	×0.750	—	×0.965	0.00%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .387 → .286; ISO .101 → .075; BABIP .364 → .282. 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 — .