Ryan McBroom

Pos1B

B/TR/L

Born1992-04-09

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	27	AAA/INTL2 orgs	511	.310/.401/.565	27	2	112	—	.255/.321/.453
2019	27	MLBKC	83	.293/.361/.360	0	0	111	-0.6
2020	28	MLBKC	85	.247/.282/.506	6	0	126	0.2
2021	29	AAAKC	489	.261/.340/.524	32	3	70	—	.196/.256/.370
2022	30	No MLB games played
2023	31	No MLB games played
2024	32	No MLB games played
2025	33	No MLB games played
2026	34	No MLB games played

Last 3 seasons WAR -0.3

Contract

No contract data on file.

Skills · percentileStatcast 2019-2021

Barrel%64

xwOBA40

Avg EV10

Speed10

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	23	A	Lansing Lugnuts	—	538	461	145	39	1	12	49	96	14	5	4	315	396	482	878	167	363	18	9	382	81	—	—	—	—	—	—
2016	24	AA	New Hampshire Fisher Cats	—	34	29	4	0	0	1	3	6	1	0	0	138	242	241	484	103	130	18	9	224	7	—	—	—	—	—	—
2016	24	A+	Dunedin Blue Jays	—	514	468	128	26	1	21	34	112	4	10	4	274	328	468	796	194	312	22	7	346	68	—	—	—	—	—	—
2016	24	INTL	Mesa Solar Sox	—	29	28	7	2	0	2	1	6	0	0	0	250	276	536	812	286	250	21	3	350	123	—	—	—	—	—	—
2017	25	AA	Trenton Thunder	—	548	486	120	24	0	16	43	112	14	1	3	247	326	395	721	148	287	20	8	323	72	—	—	—	—	—	—
2017	25	INTL	Tomateros de Culiacan	—	126	107	34	2	0	5	13	21	3	4	4	318	407	477	883	159	345	17	10	386	148	—	—	—	—	—	—
2018	26	AAA	Scranton/Wilkes-Barre RailRiders	—	393	359	106	18	1	11	25	106	2	1	4	295	344	443	787	148	383	27	6	344	77	—	—	—	—	—	—
2018	26	AA	Trenton Thunder	—	111	102	33	5	1	4	7	27	2	0	3	324	378	510	888	186	408	24	6	392	105	—	—	—	—	—	—
2018	26	INTL	Tomateros de Culiacan	—	119	106	24	5	1	1	10	28	1	3	0	226	299	321	620	94	291	24	8	279	75	—	—	—	—	—	—
2019	27	MLB	Kansas City Royals	—	83	75	22	5	0	0	7	25	1	0	0	293	361	360	721	67	440	30	8	330	111	+1	+0	-2	-6	+2	-0.6
2019	27	AAA	Scranton/Wilkes-Barre RailRiders	—	482	413	130	29	0	26	58	100	6	2	2	315	407	574	981	259	356	21	12	423	112	—	—	—	—	—	—
2019	27	INTL	Tigres del Licey	—	29	26	6	2	0	1	2	7	1	0	0	231	310	423	733	192	278	24	7	327	108	—	—	—	—	—	—
2020	28	MLB	Kansas City Royals	—	85	81	20	3	0	6	4	30	0	0	0	247	282	506	789	259	311	35	5	342	126	+3	+0	-1	-2	+2	0.2
2021	29	AAA	Omaha Storm Chasers	—	489	433	113	14	2	32	47	109	5	3	1	261	340	524	864	263	274	22	10	374	70	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	168	156	42	8	0	6	11	55	1	0	0	269	321	436	757	167	379	33	7	336	114	+3	+0	-3	-8	+4	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	23	A MLE	Lansing Lugnuts	—	538	479	114	26	1	9	32	135	14	5	4	238	305	353	658	115	288	25	6	288	81	—	—	—	—	—	—
2016	24	AA MLE	New Hampshire Fisher Cats	—	34	30	4	0	0	1	2	8	1	0	0	133	212	233	445	100	127	24	6	179	7	—	—	—	—	—	—
2016	24	A+ MLE	Dunedin Blue Jays	—	514	478	100	20	1	18	24	167	4	10	4	209	253	368	621	159	266	32	5	268	68	—	—	—	—	—	—
2017	25	AA MLE	Trenton Thunder	—	548	499	111	22	0	13	30	136	14	1	3	222	285	345	630	122	269	25	5	275	72	—	—	—	—	—	—
2018	26	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	393	369	92	15	1	9	16	127	2	1	4	249	284	369	653	119	337	32	4	282	77	—	—	—	—	—	—
2018	26	AA MLE	Trenton Thunder	—	111	105	30	4	1	3	4	33	2	0	3	286	324	429	753	143	388	30	4	324	105	—	—	—	—	—	—
2019	27	MLB MLE	Kansas City Royals	—	83	75	22	5	0	0	7	25	1	0	0	293	361	360	721	67	440	30	8	332	111	+1	+0	-2	-6	+2	-0.6
2019	27	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	482	435	111	23	0	21	36	119	6	2	2	255	321	453	774	198	295	25	7	334	112	—	—	—	—	—	—
2020	28	MLB MLE	Kansas City Royals	—	85	81	20	3	0	6	4	30	0	0	0	247	282	506	789	259	311	35	5	355	126	+3	+0	-1	-2	+2	0.2
2021	29	AAA MLE	Omaha Storm Chasers	—	489	449	88	11	2	21	31	133	5	3	1	196	256	370	625	174	220	27	6	272	70	—	—	—	—	—	—
2015	23	A MLE	Lansing Lugnuts	—	538	479	114	26	1	9	32	135	14	5	4	238	305	353	658	115	302	25	6	288	81	—	—	—	—	—	—
2015	23	A RAW	Lansing Lugnuts	—	538	461	145	39	1	12	49	96	14	5	4	315	396	482	878	167	363	18	9	382	81	—	—	—	—	—	—
2016	24	A+ MLE	3 teams	—	577	535	110	21	1	20	28	183	5	10	4	206	252	361	613	155	264	32	5	262	64	—	—	—	—	—	—
2016	24	A+ RAW	3 teams	—	577	525	139	28	1	24	38	124	5	10	4	265	320	459	779	194	298	21	7	339	64	—	—	—	—	—	—
2017	25	AA MLE	2 teams	—	674	612	136	27	0	16	37	167	17	5	7	222	285	345	630	123	275	25	5	275	72	—	—	—	—	—	—
2017	25	AA RAW	2 teams	—	674	593	154	26	0	21	56	133	17	5	7	260	341	410	751	150	298	20	8	335	72	—	—	—	—	—	—
2018	26	AAA MLE	3 teams	—	623	585	149	23	2	14	25	198	5	4	7	255	291	373	664	118	354	32	4	291	83	—	—	—	—	—	—
2018	26	AAA RAW	3 teams	—	623	567	163	28	3	16	42	161	5	4	7	287	341	432	774	145	369	26	7	340	83	—	—	—	—	—	—
2019	27	AAA MLE	3 teams	—	594	536	140	30	0	22	45	151	8	2	2	261	328	440	768	179	321	25	8	334	112	—	—	—	—	—	—
2019	27	AAA RAW	3 teams	—	594	514	158	36	0	27	67	132	8	2	2	307	396	535	931	228	364	22	11	406	112	—	—	—	—	—	—
2020	28	MLB MLE	Kansas City Royals	—	85	81	20	3	0	6	4	30	0	0	0	247	282	506	789	259	311	35	5	355	126	+3	+0	-1	-2	+2	0.2
2020	28	MLB RAW	Kansas City Royals	—	85	81	20	3	0	6	4	30	0	0	0	247	282	506	789	259	311	35	5	342	126	+3	+0	-1	-2	+2	0.2
2021	29	AAA MLE	Omaha Storm Chasers	—	489	449	88	11	2	21	31	133	5	3	1	196	256	370	625	174	224	27	6	272	70	—	—	—	—	—	—
2021	29	AAA RAW	Omaha Storm Chasers	—	489	433	113	14	2	32	47	109	5	3	1	261	340	524	864	263	274	22	10	374	70	—	—	—	—	—	—
2015	23	A MLE	Lansing Lugnuts	—	538	487	114	26	1	9	32	135	14	5	4	234	305	347	652	113	288	25	6	288	81	—	—	—	—	—	—
2016	24	A+ MLE	3 teams	—	577	539	110	21	1	20	28	183	5	10	4	204	252	358	610	154	257	32	5	262	64	—	—	—	—	—	—
2017	25	AA MLE	2 teams	—	674	615	136	27	0	16	37	167	17	5	7	221	285	343	628	122	269	25	5	275	72	—	—	—	—	—	—
2018	26	AAA MLE	3 teams	—	623	588	149	23	2	14	25	198	5	4	7	253	291	371	662	117	348	32	4	291	83	—	—	—	—	—	—
2019	27	AAA MLE	3 teams	—	594	536	140	30	0	22	45	151	8	2	2	261	328	440	768	179	316	25	8	334	112	—	—	—	—	—	—
2020	28	MLB MLE	Kansas City Royals	—	85	81	20	3	0	6	4	30	0	0	0	247	282	506	789	259	311	35	5	355	126	—	—	—	—	—	—
2021	29	AAA MLE	Omaha Storm Chasers	—	489	450	88	11	2	21	31	133	5	3	1	196	256	369	625	173	220	27	6	272	70	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	168	156	42	8	0	6	11	55	1	0	0	269	321	436	757	167	379	33	7	336	82	+3	+0	-3	-8	+4	-0.4
/ 162G	—	A+C		—	650	604	162	31	0	23	43	213	4	0	0	268	322	434	755	166	378	33	7	336	82	+11	+0	-11	-30	+14	-1.7
Career	—	MLE		—	3580	3277	757	141	6	108	202	997	54	29	25	231	287	377	663	146	292	28	6	289	82	+3	+0	-3	-8	+4	-0.4
/ 162G	—	MLE		—	650	595	138	26	1	20	37	181	10	5	5	232	289	380	668	148	293	28	6	289	82	+11	+0	-11	-30	+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.

2021 AAAOmaha Storm Chasers · 489 PAwOBA .366 → .272 (−95)K% 22.3% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.29%	÷0.985	×1.200	—	—	27.17%
BB% (unintentional) /PA	9.41%	÷0.990	×0.690	—	×0.982	6.44%
HBP% /PA	1.02%	—	×0.940	—	×0.982	0.94%
Singles /BIP	20.06%	÷1.056	×0.930	×0.967	×0.982	16.78%
Doubles /BIP	4.32%	÷0.978	×0.830	×0.967	×0.982	3.48%
Triples /BIP	0.62%	÷0.936	×0.920	×0.967	×0.982	0.58%
Home runs /BIP	9.88%	÷1.027	×0.700	—	×0.982	6.61%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 111, 2B 96, 3B 87, K 97, BB 98 — 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 ×0.967.

Result: wOBA .366 → .272; ISO .263 → .181; BABIP .274 → .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).

2019 AAAScranton/Wilkes-Barre RailRiders · 482 PAwOBA .415 → .334 (−81)K% 20.7% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.75%	÷1.007	×1.200	—	—	24.73%
BB% (unintentional) /PA	11.41%	÷1.066	×0.690	—	×1.003	7.41%
HBP% /PA	1.24%	—	×0.940	—	×1.003	1.17%
Singles /BIP	23.96%	÷1.019	×0.930	×0.950	×1.003	20.83%
Doubles /BIP	9.27%	÷1.009	×0.830	×0.950	×1.003	7.26%
Triples /BIP	0.00%	÷0.938	×0.970	×0.950	×1.003	0.00%
Home runs /BIP	8.31%	÷1.087	×0.840	—	×1.003	6.44%

Factors used: league row IL. Park (home-season share, regressed): HR 117, 1B 104, 2B 102, 3B 88, K 101, BB 113 — 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 ×0.950.

Result: wOBA .415 → .334; ISO .259 → .207; BABIP .356 → .295. 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 AAAScranton/Wilkes-Barre RailRiders · 393 PAwOBA .339 → .282 (−57)K% 27.0% → 32.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.97%	÷1.002	×1.200	—	—	32.32%
BB% (unintentional) /PA	6.11%	÷1.034	×0.690	—	×1.018	4.15%
HBP% /PA	0.51%	—	×0.940	—	×1.018	0.49%
Singles /BIP	30.04%	÷1.032	×0.930	×0.983	×1.018	27.10%
Doubles /BIP	7.11%	÷1.004	×0.830	×0.983	×1.018	5.89%
Triples /BIP	0.40%	÷1.130	×0.970	×0.983	×1.018	0.34%
Home runs /BIP	4.35%	÷1.046	×0.840	—	×1.018	3.56%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 106, 2B 101, 3B 126, K 100, BB 107 — 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 ×0.983.

Result: wOBA .339 → .282; ISO .148 → .119; BABIP .383 → .337. 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 AATrenton Thunder · 111 PAwOBA .378 → .324 (−55)K% 24.3% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.32%	÷1.002	×1.220	—	—	29.61%
BB% (unintentional) /PA	5.41%	÷0.972	×0.700	—	×0.988	3.85%
HBP% /PA	1.80%	—	×0.850	—	×0.988	1.51%
Singles /BIP	30.67%	÷0.954	×0.970	×0.991	×0.988	30.54%
Doubles /BIP	6.67%	÷1.042	×0.860	×0.991	×0.988	5.39%
Triples /BIP	1.33%	÷0.944	×0.950	×0.991	×0.988	1.31%
Home runs /BIP	5.33%	÷1.034	×0.780	—	×0.988	3.98%

Factors used: league row EL. Park (home-season share, regressed): HR 107, 1B 91, 2B 108, 3B 89, K 100, BB 94 — 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 ×0.991.

Result: wOBA .378 → .324; ISO .186 → .141; BABIP .408 → .388. 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 AATrenton Thunder · 548 PAwOBA .316 → .275 (−42)K% 20.4% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.44%	÷1.007	×1.220	—	—	24.76%
BB% (unintentional) /PA	7.66%	÷0.979	×0.700	—	×0.998	5.47%
HBP% /PA	2.55%	—	×0.850	—	×0.998	2.17%
Singles /BIP	21.39%	÷1.020	×0.970	×1.006	×0.998	20.43%
Doubles /BIP	6.42%	÷0.936	×0.860	×1.006	×0.998	5.92%
Triples /BIP	0.00%	÷1.150	×0.950	×1.006	×0.998	0.00%
Home runs /BIP	4.28%	÷0.960	×0.780	—	×0.998	3.47%

Factors used: league row EL. Park (home-season share, regressed): HR 92, 1B 104, 2B 87, 3B 130, K 101, BB 96 — 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 ×1.006.

Result: wOBA .316 → .275; ISO .148 → .124; BABIP .287 → .269. 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+Dunedin Blue Jays · 514 PAwOBA .341 → .268 (−73)K% 21.8% → 32.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.79%	÷0.955	×1.420	—	—	32.41%
BB% (unintentional) /PA	6.61%	÷1.038	×0.750	—	×0.988	4.72%
HBP% /PA	0.78%	—	×0.930	—	×0.988	0.72%
Singles /BIP	22.47%	÷1.042	×0.920	×0.980	×0.988	19.21%
Doubles /BIP	7.30%	÷1.064	×0.960	×0.980	×0.988	6.38%
Triples /BIP	0.28%	÷1.150	×0.810	×0.980	×0.988	0.19%
Home runs /BIP	5.90%	÷0.912	×0.880	—	×0.988	5.62%

Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 108, 2B 113, 3B 130, K 91, BB 108 — 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 ×0.980.

Result: wOBA .341 → .268; ISO .194 → .161; BABIP .312 → .266. 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 AANew Hampshire Fisher Cats · 34 PAwOBA .225 → .179 (−46)K% 17.6% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷0.969	×1.220	—	—	22.22%
BB% (unintentional) /PA	8.82%	÷1.079	×0.700	—	×1.012	5.79%
HBP% /PA	2.94%	—	×0.850	—	×1.012	2.53%
Singles /BIP	13.04%	÷0.995	×0.970	—	×1.012	12.87%
Doubles /BIP	0.00%	÷1.000	×0.860	—	×1.012	0.00%
Triples /BIP	0.00%	÷1.031	×0.950	—	×1.012	0.00%
Home runs /BIP	4.35%	÷1.292	×0.780	—	×1.012	2.66%

Factors used: league row EL. Park (home-season share, regressed): HR 158, 1B 99, 2B 100, 3B 106, K 94, BB 116 — 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).

Result: wOBA .225 → .179; ISO .103 → .065; BABIP .130 → .127. 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 ALansing Lugnuts · 538 PAwOBA .380 → .288 (−92)K% 17.8% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.84%	÷0.968	×1.360	—	—	25.07%
BB% (unintentional) /PA	8.74%	÷1.005	×0.690	—	×0.990	5.94%
HBP% /PA	2.60%	—	×0.780	—	×0.990	2.01%
Singles /BIP	25.48%	÷1.043	×0.920	×0.978	×0.990	21.77%
Doubles /BIP	10.68%	÷1.210	×0.830	×0.978	×0.990	7.10%
Triples /BIP	0.27%	÷1.150	×0.910	×0.978	×0.990	0.21%
Home runs /BIP	3.29%	÷1.007	×0.800	—	×0.990	2.59%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 109, 2B 142, 3B 130, K 94, BB 101 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .380 → .288; ISO .167 → .119; BABIP .363 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .