Patrick Kivlehan

PosRF

B/TR/R

Born1989-12-22

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	29	AAA/AATOR	514	.255/.341/.532	32	1	83	—	.204/.273/.423
2021	31	AAASD	364	.261/.319/.508	21	4	48	—	.184/.227/.319
2022	32	AAACWS	15	.417/.533/1.000	2	0	157	—	.308/.400/.615

Contract

No contract data on file.

Skills · percentileStatcast 2017-2021

Speed71

Barrel%47

xwOBA26

Avg EV10

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	A+	High Desert Mavericks	—	302	266	85	13	2	13	26	66	5	10	3	320	391	530	921	211	375	22	9	399	90	—	—	—	—	—	—
2013	23	A	Clinton LumberKings	—	248	224	64	12	1	4	17	42	5	5	4	286	350	402	751	116	333	17	7	336	74	—	—	—	—	—	—
2013	23	INTL	Peoria Javelinas	—	65	61	10	0	0	1	3	17	1	1	0	164	215	213	428	49	209	26	5	201	22	—	—	—	—	—	—
2014	24	AA	Jackson Generals	—	431	377	113	23	7	11	44	78	4	9	4	300	378	485	863	186	348	18	10	377	101	—	—	—	—	—	—
2014	24	A+	High Desert Mavericks	—	157	142	40	9	2	9	12	32	0	2	0	282	338	563	901	282	298	20	8	382	87	—	—	—	—	—	—
2014	24	INTL	Surprise Saguaros	—	111	93	26	4	1	4	14	17	3	0	1	280	391	473	864	194	301	15	13	382	145	—	—	—	—	—	—
2015	25	AAA	Tacoma Rainiers	—	518	472	121	25	1	22	36	113	5	14	3	256	316	453	769	197	289	22	7	337	67	—	—	—	—	—	—
2015	25	INTL	Leones del Escogido	—	88	83	25	9	0	3	4	16	1	0	0	301	341	518	859	217	344	18	5	376	141	—	—	—	—	—	—
2016	26	MLB	Cincinnati Reds	—	24	21	4	0	0	1	2	11	1	0	0	190	292	333	625	143	333	46	8	289	76	-1	+0	-3	-5	+1	-0.8
2016	26	AAA	El Paso Chihuahuas	—	399	370	94	18	3	12	24	108	2	5	4	254	302	416	718	162	327	27	6	317	39	—	—	—	—	—	—
2017	27	MLB	Cincinnati Reds	—	204	178	37	5	1	9	22	61	3	1	2	208	305	399	704	191	257	30	11	315	91	-2	-1	-2	-3	+4	-0.3
2017	27	INTL	Leones del Escogido	—	50	43	9	2	0	0	6	11	1	2	0	209	320	256	576	47	281	22	12	276	73	—	—	—	—	—	—
2018	28	AAA	Las Vegas 51s	—	437	396	118	29	4	20	32	99	7	5	3	298	361	543	904	245	351	23	7	393	86	—	—	—	—	—	—
2019	29	AAA	Buffalo Bisons	—	470	413	99	18	3	29	45	132	9	0	1	240	328	508	836	269	276	28	10	363	73	—	—	—	—	—	—
2019	29	AA	New Hampshire Fisher Cats	—	44	38	16	5	0	3	4	3	1	1	1	421	488	789	1.278	368	394	7	9	532	195	—	—	—	—	—	—
2021	31	AAA	El Paso Chihuahuas	—	364	333	87	19	0	21	26	100	2	4	3	261	319	508	826	246	307	27	7	358	48	—	—	—	—	—	—
2022	32	AAA	Charlotte Knights	—	15	12	5	1	0	2	3	1	0	0	0	417	533	1.000	1.533	583	333	7	20	623	157	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	228	199	41	5	1	10	24	72	4	1	2	206	304	392	696	186	263	32	11	312	97	-1	-1	-5	-7	+5	-0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	23	A+ MLE	High Desert Mavericks	—	302	274	67	10	1	9	18	92	5	10	3	245	303	387	690	142	320	30	6	301	90	—	—	—	—	—	—
2013	23	A MLE	Clinton LumberKings	—	248	230	57	9	1	3	11	59	5	5	4	248	297	335	632	87	310	24	4	277	74	—	—	—	—	—	—
2014	24	AA MLE	Jackson Generals	—	431	395	104	22	6	10	27	98	4	9	4	263	317	425	742	162	316	23	6	318	101	—	—	—	—	—	—
2014	24	A+ MLE	High Desert Mavericks	—	157	145	32	7	1	7	9	46	0	2	0	221	266	428	694	207	261	29	6	297	87	—	—	—	—	—	—
2015	25	AAA MLE	Tacoma Rainiers	—	518	484	103	22	1	15	24	139	5	14	3	213	257	355	613	143	260	27	5	267	67	—	—	—	—	—	—
2016	26	MLB MLE	Cincinnati Reds	—	24	21	4	0	0	1	2	11	1	0	0	190	292	333	625	143	333	46	8	280	76	-1	+0	-3	-5	+1	-0.8
2016	26	AAA MLE	El Paso Chihuahuas	—	399	379	70	13	2	7	17	146	2	5	4	185	224	285	509	100	279	37	4	226	39	—	—	—	—	—	—
2017	27	MLB MLE	Cincinnati Reds	—	204	179	36	5	1	8	21	61	3	1	2	201	296	374	670	173	257	30	10	302	91	-2	-1	-2	-3	+4	-0.3
2018	28	AAA MLE	Las Vegas 51s	—	437	407	93	23	3	14	21	129	7	5	3	229	278	403	681	174	296	30	5	295	86	—	—	—	—	—	—
2019	29	AAA MLE	Buffalo Bisons	—	470	427	80	14	3	23	31	164	9	0	1	187	257	396	653	208	227	35	7	276	73	—	—	—	—	—	—
2019	29	AA MLE	New Hampshire Fisher Cats	—	44	39	15	4	0	3	3	4	1	1	1	385	442	718	1.160	333	330	9	7	456	195	—	—	—	—	—	—
2021	31	AAA MLE	El Paso Chihuahuas	—	364	342	63	13	0	11	17	125	2	4	3	184	227	319	546	135	245	34	5	239	48	—	—	—	—	—	—
2022	32	AAA MLE	Charlotte Knights	—	15	13	4	1	0	1	2	1	0	0	0	308	400	615	1.015	308	249	7	13	400	157	—	—	—	—	—	—
2013	23	A+ MLE	3 teams	—	615	565	139	22	2	13	32	168	11	16	7	246	299	361	660	115	322	27	5	290	83	—	—	—	—	—	—
2013	23	A+ RAW	3 teams	—	615	551	159	25	3	18	46	125	11	16	7	289	355	443	798	154	340	20	7	353	83	—	—	—	—	—	—
2014	24	AA MLE	3 teams	—	699	640	161	34	9	19	43	172	7	11	5	252	306	422	728	170	310	25	6	312	98	—	—	—	—	—	—
2014	24	AA RAW	3 teams	—	699	612	179	36	10	24	70	127	7	11	5	292	371	502	873	209	330	18	10	379	98	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	606	567	121	26	1	18	28	162	6	14	3	213	258	358	616	145	263	27	5	267	67	—	—	—	—	—	—
2015	25	AAA RAW	2 teams	—	606	555	146	34	1	25	40	129	6	14	3	263	319	463	783	200	298	21	7	342	67	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	423	400	74	13	2	8	19	157	3	5	4	185	227	287	515	102	280	37	4	229	41	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	423	391	98	18	3	13	26	119	3	5	4	251	301	412	713	161	327	28	6	315	41	—	—	—	—	—	—
2017	27	MLB MLE	2 teams	—	254	223	44	6	1	10	26	76	4	3	2	197	292	368	660	170	246	30	10	302	91	-3	-0	-2	-3	+6	-0.2
2017	27	MLB RAW	2 teams	—	254	221	46	7	1	9	28	72	4	3	2	208	308	371	679	163	262	28	11	307	91	-3	-0	-2	-3	+6	-0.2
2018	28	AAA MLE	Las Vegas 51s	—	437	407	93	23	3	14	21	129	7	5	3	229	278	403	681	174	297	30	5	295	86	—	—	—	—	—	—
2018	28	AAA RAW	Las Vegas 51s	—	437	396	118	29	4	20	32	99	7	5	3	298	361	543	904	245	351	23	7	393	86	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	514	466	93	18	3	25	34	167	10	1	2	200	269	412	681	212	245	32	7	291	83	—	—	—	—	—	—
2019	29	AAA RAW	2 teams	—	514	451	115	23	3	32	49	135	10	1	2	255	341	532	873	277	289	26	10	378	83	—	—	—	—	—	—
2021	31	AAA MLE	El Paso Chihuahuas	—	364	342	63	13	0	11	17	125	2	4	3	184	227	319	546	135	249	34	5	239	48	—	—	—	—	—	—
2021	31	AAA RAW	El Paso Chihuahuas	—	364	333	87	19	0	21	26	100	2	4	3	261	319	508	826	246	307	27	7	358	48	—	—	—	—	—	—
2022	32	AAA MLE	Charlotte Knights	—	15	13	4	1	0	1	2	1	0	0	0	308	400	615	1.015	308	273	7	13	400	157	—	—	—	—	—	—
2022	32	AAA RAW	Charlotte Knights	—	15	12	5	1	0	2	3	1	0	0	0	417	533	1.000	1.533	583	333	7	20	623	157	—	—	—	—	—	—
2013	23	A+ MLE	3 teams	—	615	567	139	22	2	13	32	168	11	16	7	245	299	360	659	115	315	27	5	290	83	—	—	—	—	—	—
2014	24	AA MLE	3 teams	—	699	644	161	34	9	19	43	172	7	11	5	250	306	419	725	169	301	25	6	312	98	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	606	567	121	26	1	18	28	162	6	14	3	213	258	358	616	145	260	27	5	267	67	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	423	398	74	13	2	8	19	157	3	5	4	186	227	289	516	103	282	37	4	229	41	—	—	—	—	—	—
2017	27	MLB MLE	2 teams	—	254	222	44	6	1	10	26	76	4	3	2	198	292	369	662	171	257	30	10	302	91	—	—	—	—	—	—
2018	28	AAA MLE	Las Vegas 51s	—	437	406	93	23	3	14	21	129	7	5	3	229	278	404	682	175	296	30	5	295	86	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	514	465	93	18	3	25	34	167	10	1	2	200	269	413	682	213	236	32	7	291	83	—	—	—	—	—	—
2021	31	AAA MLE	El Paso Chihuahuas	—	364	342	63	13	0	11	17	125	2	4	3	184	227	319	546	135	245	34	5	239	48	—	—	—	—	—	—
2022	32	AAA MLE	Charlotte Knights	—	15	13	4	1	0	1	2	1	0	0	0	308	400	615	1.015	308	249	7	13	400	157	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	228	199	41	5	1	10	24	72	4	1	2	206	304	392	696	186	263	32	11	312	76	-1	-1	-5	-7	+5	-0.9
/ 162G	—	A+C		—	650	567	117	14	3	29	68	205	11	3	6	206	303	395	698	189	262	32	10	312	76	-2	-2	-14	-21	+14	-2.5
Career	—	MLE		—	3927	3623	792	156	21	119	222	1157	50	59	29	219	273	372	645	153	283	29	6	281	76	-1	-1	-5	-7	+5	-0.9
/ 162G	—	MLE		—	650	600	131	26	3	20	37	192	8	10	5	218	273	372	645	153	282	30	6	281	76	-2	-2	-14	-21	+14	-2.5

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.

2022 AAACharlotte Knights · 15 PAwOBA .606 → .400 (−206)K% 6.7% → 8.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.67%	÷0.975	×1.200	—	—	8.21%
BB% (unintentional) /PA	20.00%	÷1.028	×0.690	—	×0.942	12.64%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	18.18%	÷1.003	×0.930	—	×0.942	15.89%
Doubles /BIP	9.09%	÷1.028	×0.830	—	×0.942	6.92%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.942	0.00%
Home runs /BIP	18.18%	÷1.421	×0.700	—	×0.942	8.44%

Factors used: league row International League. Park (home-season share, regressed): HR 184, 1B 101, 2B 106, 3B 80, K 95, BB 106 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .606 → .400; ISO .583 → .319; BABIP .333 → .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).

2021 AAAEl Paso Chihuahuas · 364 PAwOBA .350 → .239 (−111)K% 27.5% → 34.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.47%	÷0.960	×1.200	—	—	34.35%
BB% (unintentional) /PA	7.14%	÷0.980	×0.690	—	×0.952	4.79%
HBP% /PA	0.55%	—	×0.940	—	×0.952	0.49%
Singles /BIP	20.17%	÷1.003	×0.930	×0.998	×0.952	17.76%
Doubles /BIP	8.15%	÷1.116	×0.830	×0.998	×0.952	5.76%
Triples /BIP	0.00%	÷1.099	×0.920	×0.998	×0.952	0.00%
Home runs /BIP	9.01%	÷1.154	×0.700	—	×0.952	5.20%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 131, 1B 101, 2B 123, 3B 120, K 92, BB 96 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.

Result: wOBA .350 → .239; ISO .246 → .141; BABIP .307 → .245. 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).

2019 AAABuffalo Bisons · 470 PAwOBA .354 → .276 (−78)K% 28.1% → 34.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.09%	÷0.968	×1.200	—	—	34.80%
BB% (unintentional) /PA	9.36%	÷0.953	×0.690	—	×0.972	6.59%
HBP% /PA	1.91%	—	×0.940	—	×0.972	1.75%
Singles /BIP	17.44%	÷1.011	×0.930	×0.950	×0.972	14.81%
Doubles /BIP	6.41%	÷0.954	×0.830	×0.950	×0.972	5.15%
Triples /BIP	1.07%	÷0.909	×0.970	×0.950	×0.972	1.05%
Home runs /BIP	10.32%	÷1.000	×0.840	—	×0.972	8.43%

Factors used: league row IL. Park (home-season share, regressed): HR 100, 1B 102, 2B 91, 3B 82, K 94, BB 91 — 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 .354 → .276; ISO .269 → .211; BABIP .276 → .227. 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).

2019 AANew Hampshire Fisher Cats · 44 PAwOBA .529 → .456 (−74)K% 6.8% → 8.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.82%	÷1.006	×1.220	—	—	8.26%
BB% (unintentional) /PA	9.09%	÷0.956	×0.700	—	×0.948	6.31%
HBP% /PA	2.27%	—	×0.850	—	×0.948	1.83%
Singles /BIP	22.86%	÷1.023	×0.970	—	×0.948	20.55%
Doubles /BIP	14.29%	÷1.064	×0.860	—	×0.948	10.95%
Triples /BIP	0.00%	÷0.900	×0.950	—	×0.948	0.00%
Home runs /BIP	8.57%	÷0.860	×0.780	—	×0.948	7.37%

Factors used: league row EL. Park (home-season share, regressed): HR 72, 1B 105, 2B 113, 3B 80, K 101, BB 91 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .529 → .456; ISO .368 → .320; BABIP .394 → .330. 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 AAALas Vegas 51s · 437 PAwOBA .383 → .295 (−88)K% 22.7% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.65%	÷0.986	×1.290	—	—	29.65%
BB% (unintentional) /PA	7.32%	÷1.039	×0.710	—	×0.982	4.91%
HBP% /PA	1.60%	—	×0.980	—	×0.982	1.54%
Singles /BIP	21.89%	÷0.992	×0.900	×0.974	×0.982	18.99%
Doubles /BIP	9.76%	÷0.918	×0.810	×0.974	×0.982	8.24%
Triples /BIP	1.35%	÷0.959	×0.810	×0.974	×0.982	1.09%
Home runs /BIP	6.73%	÷1.009	×0.780	—	×0.982	5.11%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 98, 2B 84, 3B 92, K 97, BB 108 — 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 ×0.974.

Result: wOBA .383 → .295; ISO .245 → .182; BABIP .351 → .296. 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 AAAEl Paso Chihuahuas · 399 PAwOBA .309 → .226 (−83)K% 27.1% → 36.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.07%	÷0.951	×1.290	—	—	36.72%
BB% (unintentional) /PA	6.02%	÷1.004	×0.710	—	×1.003	4.27%
HBP% /PA	0.50%	—	×0.980	—	×1.003	0.49%
Singles /BIP	23.28%	÷1.026	×0.900	×1.006	×1.003	20.60%
Doubles /BIP	6.87%	÷0.987	×0.810	×1.006	×1.003	5.69%
Triples /BIP	1.15%	÷1.028	×0.810	×1.006	×1.003	0.91%
Home runs /BIP	4.58%	÷1.160	×0.780	—	×1.003	3.09%

Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 105, 2B 97, 3B 106, K 90, BB 101 — 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 ×1.006.

Result: wOBA .309 → .226; ISO .162 → .106; BABIP .327 → .279. 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 AAATacoma Rainiers · 518 PAwOBA .330 → .267 (−62)K% 21.8% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.81%	÷1.049	×1.290	—	—	26.82%
BB% (unintentional) /PA	6.76%	÷1.046	×0.710	—	×1.018	4.67%
HBP% /PA	0.97%	—	×0.980	—	×1.018	0.96%
Singles /BIP	20.33%	÷0.995	×0.900	×0.998	×1.018	18.69%
Doubles /BIP	6.96%	÷0.910	×0.810	×0.998	×1.018	6.30%
Triples /BIP	0.28%	÷0.900	×0.810	×0.998	×1.018	0.25%
Home runs /BIP	6.13%	÷1.127	×0.780	—	×1.018	4.32%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 99, 2B 82, 3B 80, K 110, BB 109 — 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 ×0.998.

Result: wOBA .330 → .267; ISO .197 → .146; BABIP .289 → .260. 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 AAJackson Generals · 431 PAwOBA .371 → .318 (−52)K% 18.1% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.10%	÷0.968	×1.220	—	—	22.81%
BB% (unintentional) /PA	9.98%	÷1.083	×0.680	—	×0.998	6.25%
HBP% /PA	0.93%	—	×0.840	—	×0.998	0.78%
Singles /BIP	24.08%	÷1.003	×0.920	×0.989	×0.998	21.80%
Doubles /BIP	7.69%	÷0.955	×0.910	×0.989	×0.998	7.24%
Triples /BIP	2.34%	÷0.975	×0.880	×0.989	×0.998	2.09%
Home runs /BIP	3.68%	÷0.930	×0.800	—	×0.998	3.16%

Factors used: league row SL. Park (home-season share, regressed): HR 86, 1B 101, 2B 91, 3B 95, K 94, BB 117 — 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 ×0.989.

Result: wOBA .371 → .318; ISO .186 → .168; BABIP .348 → .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 — .