Ryan McKenna

PosCF

B/TR/R

Born1997-02-14

Age (2027)30

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	25	AAABAL	38	.273/.351/.545	3	0	97	—	.235/.297/.412
2022	25	MLBBAL	172	.237/.296/.340	2	2	72	-0.1
2023	26	AAABAL	61	.182/.262/.418	3	2	34	—	.140/.197/.316
2023	26	MLBBAL	139	.254/.321/.361	2	5	85	0.0
2024	27	AAA/ROK2 orgs	250	.231/.332/.392	7	15	62	—	.203/.274/.324
2024	27	MLBSF	15	.214/.267/.643	2	1	162	-0.4
2025	28	No MLB games played
2026	29	No MLB games played

Last 3 seasons WAR -0.5

Contract

No contract data on file.

Skills · percentileStatcast 2022-2024

Bat Spd70

Speed66

Barrel%56

Avg EV41

xwOBA17

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)
2015	18	ROK	GCL Orioles	—	41	34	9	0	1	0	6	6	0	1	1	265	375	324	699	59	310	15	15	318	53	—	—	—	—	—	—
2017	20	A	Delmarva Shorebirds	—	530	468	120	33	2	7	43	128	11	20	2	256	333	380	714	124	336	24	8	319	64	—	—	—	—	—	—
2018	21	AA	Bowie Baysox	—	250	213	51	8	2	3	29	56	4	4	1	239	341	338	679	99	312	22	12	309	74	—	—	—	—	—	—
2018	21	A+	Frederick Keys	—	301	257	97	18	2	8	37	45	6	5	6	377	465	556	1.022	179	436	15	12	451	132	—	—	—	—	—	—
2018	21	INTL	Glendale Desert Dogs	—	78	61	21	6	3	1	14	16	1	2	1	344	474	590	1.064	246	455	21	18	450	191	—	—	—	—	—	—
2019	22	AA	Bowie Baysox	—	567	488	113	26	6	9	59	121	7	25	11	232	323	365	688	133	287	21	10	306	57	—	—	—	—	—	—
2021	24	MLB	Baltimore Orioles	—	197	169	31	6	1	2	24	74	2	1	0	183	292	266	559	83	312	38	12	262	62	-9	+0	+2	-3	+4	-0.6
2021	24	AAA	Norfolk Tides	—	123	101	31	3	1	11	21	33	0	7	3	307	426	683	1.109	376	345	27	17	467	139	—	—	—	—	—	—
2022	25	MLB	Baltimore Orioles	—	172	156	37	10	0	2	11	55	2	2	1	237	296	340	636	103	350	32	6	284	72	-6	+0	+3	-2	+4	-0.1
2022	25	AAA	Norfolk Tides	—	38	33	9	0	0	3	4	14	0	0	2	273	351	545	897	273	353	37	11	381	97	—	—	—	—	—	—
2023	26	MLB	Baltimore Orioles	—	139	122	31	7	0	2	9	40	3	5	0	254	321	361	682	107	354	29	6	299	85	-2	+1	+1	-2	+3	0.0
2023	26	AAA	Norfolk Tides	—	61	55	10	2	1	3	6	21	0	2	0	182	262	418	680	236	226	34	10	299	34	—	—	—	—	—	—
2024	27	MLB	San Francisco Giants	—	15	14	3	0	0	2	1	5	0	1	1	214	267	643	910	429	143	33	7	384	162	+1	-0	-2	-3	+0	-0.4
2024	27	AAA	Lehigh Valley IronPigs	—	229	195	42	10	1	6	25	50	3	15	2	215	314	369	683	154	252	22	11	302	58	—	—	—	—	—	—
2024	27	ROK	ACL Giants	—	21	17	7	1	0	1	4	5	0	0	0	412	524	647	1.171	235	545	24	19	509	107	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	523	461	102	23	1	8	45	174	7	9	2	221	300	328	628	106	333	33	9	282	77	-14	+1	+4	-11	+11	-0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	18	ROK MLE	GCL Orioles	—	41	36	8	0	1	0	4	9	0	1	1	222	300	278	578	56	257	22	10	246	53	—	—	—	—	—	—
2017	20	A MLE	Delmarva Shorebirds	—	530	480	105	27	2	7	31	172	11	20	2	219	282	327	609	108	311	32	6	263	64	—	—	—	—	—	—
2018	21	AA MLE	Bowie Baysox	—	250	220	51	8	2	2	22	71	4	4	1	232	313	314	627	82	324	28	9	278	74	—	—	—	—	—	—
2018	21	A+ MLE	Frederick Keys	—	301	271	86	15	1	5	24	64	6	5	6	317	385	435	821	118	403	21	8	364	132	—	—	—	—	—	—
2019	22	AA MLE	Bowie Baysox	—	567	506	100	22	5	7	41	157	7	25	11	198	267	302	570	105	260	28	7	252	57	—	—	—	—	—	—
2021	24	MLB MLE	Baltimore Orioles	—	197	169	31	6	1	2	24	74	2	1	0	183	292	266	559	83	312	38	12	260	62	-9	+0	+2	-3	+4	-0.6
2021	24	AAA MLE	Norfolk Tides	—	123	107	29	3	1	8	15	40	0	7	3	271	361	542	903	271	333	33	12	374	139	—	—	—	—	—	—
2022	25	MLB MLE	Baltimore Orioles	—	172	157	36	9	0	2	10	55	2	2	1	229	284	325	609	96	350	32	6	274	72	-6	+0	+3	-2	+4	-0.1
2022	25	AAA MLE	Norfolk Tides	—	38	34	8	0	0	2	3	17	0	0	2	235	297	412	709	176	341	45	8	312	97	—	—	—	—	—	—
2023	26	MLB MLE	Baltimore Orioles	—	139	122	31	7	0	2	9	40	3	5	0	254	321	361	682	107	354	29	6	294	85	-2	+1	+1	-2	+3	0.0
2023	26	AAA MLE	Norfolk Tides	—	61	57	8	2	1	2	4	26	0	2	0	140	197	316	513	175	203	43	7	219	34	—	—	—	—	—	—
2024	27	MLB MLE	San Francisco Giants	—	15	14	3	0	0	2	1	5	0	1	1	214	267	643	910	429	143	33	7	408	162	+1	-0	-2	-3	+0	-0.4
2024	27	AAA MLE	Lehigh Valley IronPigs	—	229	203	39	9	1	4	17	59	3	15	2	192	265	305	570	113	232	26	7	254	58	—	—	—	—	—	—
2024	27	ROK MLE	ACL Giants	—	21	19	6	1	0	1	2	7	0	0	0	316	381	526	907	211	402	33	10	327	107	—	—	—	—	—	—
2015	18	ROK MLE	GCL Orioles	—	41	36	8	0	1	0	4	9	0	1	1	222	300	278	578	56	286	22	10	246	53	—	—	—	—	—	—
2015	18	ROK RAW	GCL Orioles	—	41	34	9	0	1	0	6	6	0	1	1	265	375	324	699	59	310	15	15	318	53	—	—	—	—	—	—
2017	20	A MLE	Delmarva Shorebirds	—	530	480	105	27	2	7	31	172	11	20	2	219	282	327	609	108	322	32	6	263	64	—	—	—	—	—	—
2017	20	A RAW	Delmarva Shorebirds	—	530	468	120	33	2	7	43	128	11	20	2	256	333	380	714	124	336	24	8	319	64	—	—	—	—	—	—
2018	21	A+ MLE	3 teams	—	629	560	157	25	4	9	52	155	11	11	8	280	353	388	741	107	374	25	8	325	106	—	—	—	—	—	—
2018	21	A+ RAW	3 teams	—	629	531	169	32	7	12	80	117	11	11	8	318	417	473	890	154	391	19	13	394	106	—	—	—	—	—	—
2019	22	AA MLE	Bowie Baysox	—	567	506	100	22	5	7	41	157	7	25	11	198	267	302	570	105	269	28	7	252	57	—	—	—	—	—	—
2019	22	AA RAW	Bowie Baysox	—	567	488	113	26	6	9	59	121	7	25	11	232	323	365	688	133	287	21	10	306	57	—	—	—	—	—	—
2021	24	MLB MLE	2 teams	—	320	276	59	9	2	10	39	114	2	8	3	214	315	370	685	156	320	36	12	304	92	-3	+0	+2	-3	+7	0.3
2021	24	MLB RAW	2 teams	—	320	270	62	9	2	13	45	107	2	8	3	230	344	422	766	193	325	33	14	341	92	-3	+0	+2	-3	+7	0.3
2022	25	MLB MLE	2 teams	—	210	191	44	9	0	4	13	72	2	2	3	230	286	340	627	110	342	34	6	281	76	-6	-1	+3	-2	+5	-0.1
2022	25	MLB RAW	2 teams	—	210	189	46	10	0	5	15	69	2	2	3	243	306	376	681	132	350	33	7	301	76	-6	-1	+3	-2	+5	-0.1
2023	26	MLB MLE	2 teams	—	200	179	38	8	1	4	13	66	3	7	0	212	277	335	612	123	306	33	6	271	70	-7	+1	+1	-2	+4	-0.3
2023	26	MLB RAW	2 teams	—	200	177	41	9	1	5	15	61	3	7	0	232	303	379	681	147	319	30	8	299	70	-7	+1	+1	-2	+4	-0.3
2024	27	AAA MLE	3 teams	—	265	236	48	10	1	7	20	71	3	16	3	203	274	343	617	140	253	27	8	268	68	—	—	—	—	—	—
2024	27	AAA RAW	3 teams	—	265	226	52	11	1	9	30	60	3	16	3	230	328	407	735	177	267	23	11	323	68	—	—	—	—	—	—
2015	18	ROK MLE	GCL Orioles	—	41	37	8	0	1	0	4	9	0	1	1	216	300	270	570	54	257	22	10	246	53	—	—	—	—	—	—
2017	20	A MLE	Delmarva Shorebirds	—	530	483	105	27	2	7	31	172	11	20	2	217	282	325	607	108	311	32	6	263	64	—	—	—	—	—	—
2018	21	A+ MLE	3 teams	—	629	561	157	25	4	9	52	155	11	11	8	280	353	387	740	107	367	25	8	325	106	—	—	—	—	—	—
2019	22	AA MLE	Bowie Baysox	—	567	514	100	22	5	7	41	157	7	25	11	195	267	298	565	103	260	28	7	252	57	—	—	—	—	—	—
2021	24	MLB MLE	2 teams	—	320	276	59	9	2	10	39	114	2	8	3	214	315	370	685	156	320	36	12	304	92	—	—	—	—	—	—
2022	25	MLB MLE	2 teams	—	210	193	44	9	0	4	13	72	2	2	3	228	286	337	623	109	348	34	6	281	76	—	—	—	—	—	—
2023	26	MLB MLE	2 teams	—	200	182	38	8	1	4	13	66	3	7	0	209	277	330	607	121	308	33	6	271	70	—	—	—	—	—	—
2024	27	AAA MLE	3 teams	—	265	240	48	10	1	7	20	71	3	16	3	200	274	338	612	138	240	27	8	268	68	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	27	AAA MLE	3 teams	—	265	240	48	10	1	7	20	71	3	16	3	200	274	338	612	138	240	27	8	268	68	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	523	461	102	23	1	8	45	174	7	9	2	221	300	328	628	106	333	33	9	282	77	-14	+1	+4	-11	+11	-0.8
/ 162G	—	A+C		—	650	573	127	29	1	10	56	216	9	11	2	222	301	328	630	106	333	33	9	282	77	-18	+1	+5	-13	+14	-1.0
Career	—	MLE		—	2762	2464	559	110	16	48	213	816	39	90	31	227	299	343	642	116	316	30	8	282	77	-14	+1	+4	-11	+11	-0.8
/ 162G	—	MLE		—	650	580	132	26	4	11	50	192	9	21	7	228	299	343	642	116	318	30	8	282	77	-18	+1	+5	-13	+14	-1.0

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.

2024 AAALehigh Valley IronPigs · 229 PAwOBA .300 → .254 (−46)K% 21.8% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.83%	÷1.022	×1.200	—	—	25.63%
BB% (unintentional) /PA	10.92%	÷1.021	×0.690	—	×1.003	7.40%
HBP% /PA	1.31%	—	×0.940	—	×1.003	1.24%
Singles /BIP	17.24%	÷0.985	×0.930	×1.009	×1.003	16.47%
Doubles /BIP	6.90%	÷0.960	×0.830	×1.009	×1.003	6.03%
Triples /BIP	0.69%	÷1.150	×0.970	×1.009	×1.003	0.59%
Home runs /BIP	4.14%	÷0.989	×0.700	—	×1.003	2.94%

Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 97, 2B 92, 3B 130, K 104, BB 104 — 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 ×1.009.

Result: wOBA .300 → .254; ISO .154 → .124; BABIP .252 → .232. 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).

2024 ROKACL Giants · 21 PAwOBA .496 → .327 (−169)K% 23.8% → 34.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.81%	÷0.997	×1.440	—	—	34.39%
BB% (unintentional) /PA	19.05%	÷1.062	×0.620	—	×0.940	10.46%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	41.67%	÷1.003	×0.820	—	×0.940	32.01%
Doubles /BIP	8.33%	÷0.927	×0.720	—	×0.940	6.09%
Triples /BIP	0.00%	÷0.900	×0.720	—	×0.940	0.00%
Home runs /BIP	8.33%	÷1.178	×0.780	—	×0.940	5.19%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 136, 1B 101, 2B 85, 3B 80, K 99, BB 112 — applied at half strength. Age: age 27 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (7.5 yr older than average).

Result: wOBA .496 → .327; ISO .235 → .148; BABIP .545 → .402. 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).

2023 AAANorfolk Tides · 61 PAwOBA .291 → .219 (−71)K% 34.4% → 42.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.43%	÷0.980	×1.200	—	—	42.15%
BB% (unintentional) /PA	9.84%	÷0.948	×0.690	—	×1.018	7.29%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	11.76%	÷1.019	×0.930	—	×1.018	10.93%
Doubles /BIP	5.88%	÷1.015	×0.830	—	×1.018	4.89%
Triples /BIP	2.94%	÷0.900	×0.970	—	×1.018	3.23%
Home runs /BIP	8.82%	÷0.995	×0.700	—	×1.018	6.32%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 104, 2B 103, 3B 80, K 96, BB 90 — 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).

Result: wOBA .291 → .219; ISO .236 → .170; BABIP .226 → .203. 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).

2022 AAANorfolk Tides · 38 PAwOBA .380 → .312 (−67)K% 36.8% → 43.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.84%	÷1.017	×1.200	—	—	43.49%
BB% (unintentional) /PA	10.53%	÷1.048	×0.690	—	×1.033	7.16%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	31.58%	÷0.952	×0.930	—	×1.033	31.86%
Doubles /BIP	0.00%	÷1.000	×0.830	—	×1.033	0.00%
Triples /BIP	0.00%	÷1.130	×0.970	—	×1.033	0.00%
Home runs /BIP	15.79%	÷0.970	×0.700	—	×1.033	11.77%

Factors used: league row International League. Park (home-season share, regressed): HR 94, 1B 90, 2B 100, 3B 126, K 103, BB 110 — 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).

Result: wOBA .380 → .312; ISO .273 → .201; BABIP .353 → .341. 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 AAANorfolk Tides · 123 PAwOBA .458 → .374 (−84)K% 26.8% → 32.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.83%	÷0.982	×1.200	—	—	32.79%
BB% (unintentional) /PA	17.07%	÷1.030	×0.690	—	×1.048	11.98%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	23.53%	÷0.981	×0.930	×1.045	×1.048	24.45%
Doubles /BIP	4.41%	÷0.977	×0.830	×1.045	×1.048	4.11%
Triples /BIP	1.47%	÷1.150	×0.920	×1.045	×1.048	1.29%
Home runs /BIP	16.18%	÷1.009	×0.700	—	×1.048	11.76%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 96, 2B 95, 3B 130, K 96, BB 106 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.045.

Result: wOBA .458 → .374; ISO .376 → .282; BABIP .345 → .333. 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 AABowie Baysox · 567 PAwOBA .299 → .252 (−48)K% 21.3% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.34%	÷0.940	×1.220	—	—	27.70%
BB% (unintentional) /PA	10.23%	÷1.020	×0.700	—	×1.042	7.31%
HBP% /PA	1.23%	—	×0.850	—	×1.042	1.09%
Singles /BIP	19.62%	÷1.031	×0.970	×0.950	×1.042	18.27%
Doubles /BIP	7.08%	÷0.987	×0.860	×0.950	×1.042	6.11%
Triples /BIP	1.63%	÷1.116	×0.950	×0.950	×1.042	1.38%
Home runs /BIP	2.45%	÷0.987	×0.780	—	×1.042	2.02%

Factors used: league row EL. Park (home-season share, regressed): HR 97, 1B 106, 2B 97, 3B 123, K 88, BB 104 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .299 → .252; ISO .133 → .111; BABIP .287 → .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).

2018 A+Frederick Keys · 301 PAwOBA .437 → .364 (−73)K% 15.0% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.95%	÷0.992	×1.420	—	—	21.41%
BB% (unintentional) /PA	11.63%	÷0.956	×0.630	—	×1.027	7.87%
HBP% /PA	1.99%	—	×0.860	—	×1.027	1.76%
Singles /BIP	32.55%	÷1.021	×0.940	×1.024	×1.027	31.50%
Doubles /BIP	8.49%	÷1.053	×0.830	×1.024	×1.027	7.04%
Triples /BIP	0.94%	÷1.150	×0.800	×1.024	×1.027	0.69%
Home runs /BIP	3.77%	÷1.357	×0.900	—	×1.027	2.57%

Factors used: league row CAR. Park (home-season share, regressed): HR 171, 1B 104, 2B 111, 3B 130, K 98, BB 91 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .437 → .364; ISO .179 → .130; BABIP .436 → .403. 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 AABowie Baysox · 250 PAwOBA .302 → .278 (−23)K% 22.4% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.40%	÷0.960	×1.220	—	—	28.47%
BB% (unintentional) /PA	11.60%	÷0.978	×0.700	—	×1.050	8.72%
HBP% /PA	1.60%	—	×0.850	—	×1.050	1.43%
Singles /BIP	24.20%	÷0.996	×0.970	×1.034	×1.050	25.58%
Doubles /BIP	5.10%	÷0.971	×0.860	×1.034	×1.050	4.90%
Triples /BIP	1.27%	÷0.900	×0.950	×1.034	×1.050	1.46%
Home runs /BIP	1.91%	÷1.060	×0.780	—	×1.050	1.48%

Factors used: league row EL. Park (home-season share, regressed): HR 112, 1B 99, 2B 94, 3B 80, K 92, BB 96 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .302 → .278; ISO .099 → .088; BABIP .312 → .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).