Ademar Rifaela

PosLF

B/TL/L

Born1994-11-20

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	23	AABowie Baysox	396	.265/.325/.396	7	2	74	—	.245/.292/.351
2019	24	AAA/AA2 orgs	381	.249/.315/.423	10	1	56	—	.197/.243/.331
2023	28	INTLCuracao	171	.228/.327/.336	3	0	94	—

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	18	ROK	DSL Orioles 2	—	269	221	54	12	5	0	41	48	6	4	8	244	377	344	721	100	310	18	15	335	36	—	—	—	—	—	—
2014	19	ROK	GCL Orioles	—	116	99	24	3	0	4	14	17	0	0	0	242	336	394	730	152	256	15	12	322	46	—	—	—	—	—	—
2015	20	A	Delmarva Shorebirds	—	262	233	61	15	1	5	25	59	3	4	4	262	341	399	740	137	331	23	10	333	63	—	—	—	—	—	—
2016	21	A+	Frederick Keys	—	20	18	3	1	0	1	2	5	0	1	0	167	250	389	639	222	167	25	10	283	18	—	—	—	—	—	—
2016	21	A	Delmarva Shorebirds	—	375	343	82	14	6	12	27	97	2	2	3	239	298	420	718	181	297	26	7	315	49	—	—	—	—	—	—
2017	22	A+	Frederick Keys	—	508	450	128	23	1	24	41	124	12	7	5	284	360	500	860	216	341	24	8	376	79	—	—	—	—	—	—
2017	22	INTL	Toros del Este	—	73	66	15	2	1	0	6	19	1	0	1	227	301	288	589	61	319	26	8	273	71	—	—	—	—	—	—
2018	23	AA	Bowie Baysox	—	396	359	95	22	2	7	30	95	2	2	2	265	325	396	720	131	337	24	8	319	74	—	—	—	—	—	—
2019	24	AAA	Norfolk Tides	—	142	127	30	6	3	2	11	34	3	0	0	236	312	378	690	142	304	24	8	308	57	—	—	—	—	—	—
2019	24	AA	Bowie Baysox	—	239	218	56	12	3	8	17	67	2	1	1	257	316	450	766	193	331	28	7	335	56	—	—	—	—	—	—
2023	28	INTL	Curacao	—	171	149	34	7	0	3	19	39	3	0	2	228	327	336	663	107	290	23	11	307	94	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	18	ROK MLE	DSL Orioles 2	—	269	236	37	8	3	0	26	59	6	4	8	157	257	216	474	59	205	22	10	222	36	—	—	—	—	—	—
2014	19	ROK MLE	GCL Orioles	—	116	104	19	2	0	3	9	24	0	0	0	183	248	288	536	106	205	21	8	236	46	—	—	—	—	—	—
2015	20	A MLE	Delmarva Shorebirds	—	262	241	52	12	1	4	17	81	3	4	4	216	276	324	600	108	300	31	6	261	63	—	—	—	—	—	—
2016	21	A+ MLE	Frederick Keys	—	20	19	3	1	0	1	1	7	0	1	0	158	200	368	568	211	144	35	5	195	18	—	—	—	—	—	—
2016	21	A MLE	Delmarva Shorebirds	—	375	354	68	11	5	10	16	130	2	2	3	192	231	336	567	144	262	35	4	240	49	—	—	—	—	—	—
2017	22	A+ MLE	Frederick Keys	—	508	468	107	20	1	16	23	177	12	7	5	229	282	378	661	150	320	35	5	285	79	—	—	—	—	—	—
2018	23	AA MLE	Bowie Baysox	—	396	367	90	20	2	5	22	121	2	2	2	245	292	351	643	106	337	31	6	278	74	—	—	—	—	—	—
2019	24	AAA MLE	Norfolk Tides	—	142	131	26	5	3	2	7	42	3	0	0	198	255	328	584	130	269	30	5	253	57	—	—	—	—	—	—
2019	24	AA MLE	Bowie Baysox	—	239	225	44	9	2	6	10	87	2	1	1	196	236	333	570	138	284	36	4	251	56	—	—	—	—	—	—
2013	18	ROK MLE	DSL Orioles 2	—	269	236	37	8	3	0	26	59	6	4	8	157	257	216	474	59	208	22	10	222	36	—	—	—	—	—	—
2013	18	ROK RAW	DSL Orioles 2	—	269	221	54	12	5	0	41	48	6	4	8	244	377	344	721	100	310	18	15	335	36	—	—	—	—	—	—
2014	19	ROK MLE	GCL Orioles	—	116	104	19	2	0	3	9	24	0	0	0	183	248	288	536	106	208	21	8	236	46	—	—	—	—	—	—
2014	19	ROK RAW	GCL Orioles	—	116	99	24	3	0	4	14	17	0	0	0	242	336	394	730	152	256	15	12	322	46	—	—	—	—	—	—
2015	20	A MLE	Delmarva Shorebirds	—	262	241	52	12	1	4	17	81	3	4	4	216	276	324	600	108	308	31	6	261	63	—	—	—	—	—	—
2015	20	A RAW	Delmarva Shorebirds	—	262	233	61	15	1	5	25	59	3	4	4	262	341	399	740	137	331	23	10	333	63	—	—	—	—	—	—
2016	21	A MLE	2 teams	—	395	372	69	11	5	10	18	137	2	3	3	185	227	323	550	137	260	35	5	238	47	—	—	—	—	—	—
2016	21	A RAW	2 teams	—	395	361	85	15	6	13	29	102	2	3	3	235	296	418	714	183	290	26	7	314	47	—	—	—	—	—	—
2017	22	A+ MLE	2 teams	—	581	537	123	23	1	18	26	203	13	7	6	229	281	376	657	147	329	35	4	285	79	—	—	—	—	—	—
2017	22	A+ RAW	2 teams	—	581	516	143	25	2	24	47	143	13	7	6	277	352	473	825	196	338	25	8	363	79	—	—	—	—	—	—
2018	23	AA MLE	Bowie Baysox	—	396	367	90	20	2	5	22	121	2	2	2	245	292	351	643	106	347	31	6	278	74	—	—	—	—	—	—
2018	23	AA RAW	Bowie Baysox	—	396	359	95	22	2	7	30	95	2	2	2	265	325	396	720	131	337	24	8	319	74	—	—	—	—	—	—
2019	24	AA MLE	2 teams	—	381	356	71	14	5	8	17	129	5	1	1	199	246	334	580	135	284	34	4	252	57	—	—	—	—	—	—
2019	24	AA RAW	2 teams	—	381	345	86	18	6	10	28	101	5	1	1	249	315	423	738	174	321	27	7	325	57	—	—	—	—	—	—
2023	28	INTL MLE	Curacao	—	171	149	34	7	0	3	19	39	3	0	2	228	327	336	663	107	290	23	11	—	—	—	—	—	—	—	—
2023	28	INTL RAW	Curacao	—	171	149	34	7	0	3	19	39	3	0	2	228	327	336	663	107	290	23	11	307	94	—	—	—	—	—	—
2013	18	ROK MLE	DSL Orioles 2	—	269	235	37	8	3	0	26	59	6	4	8	157	257	217	474	60	205	22	10	222	36	—	—	—	—	—	—
2014	19	ROK MLE	GCL Orioles	—	116	106	19	2	0	3	9	24	0	0	0	179	248	283	531	104	205	21	8	236	46	—	—	—	—	—	—
2015	20	A MLE	Delmarva Shorebirds	—	262	240	52	12	1	4	17	81	3	4	4	217	276	325	601	108	300	31	6	261	63	—	—	—	—	—	—
2016	21	A MLE	2 teams	—	395	372	69	11	5	10	18	137	2	3	3	185	227	323	550	137	256	35	5	238	47	—	—	—	—	—	—
2017	22	A+ MLE	2 teams	—	581	537	123	23	1	18	26	203	13	7	6	229	281	376	657	147	320	35	4	285	79	—	—	—	—	—	—
2018	23	AA MLE	Bowie Baysox	—	396	369	90	20	2	5	22	121	2	2	2	244	292	350	641	106	337	31	6	278	74	—	—	—	—	—	—
2019	24	AA MLE	2 teams	—	381	356	71	14	5	8	17	129	5	1	1	199	246	334	580	135	278	34	4	252	57	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2571	2362	495	97	17	51	154	793	34	21	26	210	268	330	598	120	290	31	6	242	50	-154	-6	+0	-28	+56	-13.5
/ 162G	—	MLE		—	650	597	125	25	4	13	39	200	9	5	7	209	268	330	598	121	289	31	6	242	50	-39	-2	+0	-7	+14	-3.4

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 AABowie Baysox · 239 PAwOBA .326 → .251 (−74)K% 28.0% → 36.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.03%	÷0.940	×1.220	—	—	36.39%
BB% (unintentional) /PA	6.28%	÷1.020	×0.700	—	×0.998	4.30%
HBP% /PA	0.84%	—	×0.850	—	×0.998	0.71%
Singles /BIP	21.85%	÷1.031	×0.970	×0.950	×0.998	19.49%
Doubles /BIP	7.95%	÷0.987	×0.860	×0.950	×0.998	6.57%
Triples /BIP	1.99%	÷1.116	×0.950	×0.950	×0.998	1.60%
Home runs /BIP	5.30%	÷0.987	×0.780	—	×0.998	4.18%

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 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 .326 → .251; ISO .193 → .143; BABIP .331 → .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).

2019 AAANorfolk Tides · 142 PAwOBA .300 → .253 (−47)K% 23.9% → 29.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.94%	÷0.973	×1.200	—	—	29.52%
BB% (unintentional) /PA	7.04%	÷1.103	×0.690	—	×1.033	4.55%
HBP% /PA	2.11%	—	×0.940	—	×1.033	2.05%
Singles /BIP	20.43%	÷1.033	×0.930	×0.950	×1.033	18.06%
Doubles /BIP	6.45%	÷0.990	×0.830	×0.950	×1.033	5.31%
Triples /BIP	3.23%	÷0.954	×0.970	×0.950	×1.033	3.22%
Home runs /BIP	2.15%	÷0.889	×0.840	—	×1.033	2.10%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 107, 2B 98, 3B 91, K 95, BB 121 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .300 → .253; ISO .142 → .129; BABIP .304 → .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).

2018 AABowie Baysox · 396 PAwOBA .314 → .278 (−35)K% 24.0% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.99%	÷0.960	×1.220	—	—	30.49%
BB% (unintentional) /PA	7.58%	÷0.978	×0.700	—	×1.012	5.49%
HBP% /PA	0.51%	—	×0.850	—	×1.012	0.43%
Singles /BIP	24.24%	÷0.996	×0.970	×1.042	×1.012	24.89%
Doubles /BIP	8.33%	÷0.971	×0.860	×1.042	×1.012	7.79%
Triples /BIP	0.76%	÷0.900	×0.950	×1.042	×1.012	0.84%
Home runs /BIP	2.65%	÷1.060	×0.780	—	×1.012	1.97%

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 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.042.

Result: wOBA .314 → .278; ISO .131 → .108; BABIP .337 → .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).

2017 A+Frederick Keys · 508 PAwOBA .365 → .285 (−80)K% 24.4% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.41%	÷0.993	×1.420	—	—	34.90%
BB% (unintentional) /PA	7.28%	÷1.010	×0.630	—	×0.998	4.53%
HBP% /PA	2.36%	—	×0.860	—	×0.998	2.03%
Singles /BIP	24.54%	÷1.006	×0.940	×1.034	×0.998	23.67%
Doubles /BIP	7.06%	÷0.914	×0.830	×1.034	×0.998	6.62%
Triples /BIP	0.31%	÷0.900	×0.800	×1.034	×0.998	0.28%
Home runs /BIP	7.36%	÷1.238	×0.900	—	×0.998	5.34%

Factors used: league row CAR. Park (home-season share, regressed): HR 148, 1B 101, 2B 83, 3B 80, K 99, BB 102 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .365 → .285; ISO .216 → .153; BABIP .341 → .320. 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 ADelmarva Shorebirds · 375 PAwOBA .308 → .240 (−68)K% 25.9% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.87%	÷1.001	×1.340	—	—	34.62%
BB% (unintentional) /PA	7.20%	÷1.079	×0.660	—	—	4.41%
HBP% /PA	0.53%	—	×0.770	—	—	0.41%
Singles /BIP	20.33%	÷1.015	×0.920	×1.010	—	18.60%
Doubles /BIP	5.69%	÷1.008	×0.820	×1.010	—	4.67%
Triples /BIP	2.44%	÷1.150	×0.940	×1.010	—	2.01%
Home runs /BIP	4.88%	÷0.928	×0.820	—	—	4.31%

Factors used: league row SAL. Park (home-season share, regressed): HR 86, 1B 103, 2B 102, 3B 130, K 100, BB 116 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .308 → .240; ISO .181 → .143; BABIP .297 → .262. 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+Frederick Keys · 20 PAwOBA .275 → .195 (−80)K% 25.0% → 35.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.003	×1.420	—	—	35.40%
BB% (unintentional) /PA	10.00%	÷0.972	×0.630	—	×1.012	6.56%
HBP% /PA	0.00%	—	×0.860	—	×1.012	0.00%
Singles /BIP	7.69%	÷1.035	×0.940	—	×1.012	7.07%
Doubles /BIP	7.69%	÷0.997	×0.830	—	×1.012	6.48%
Triples /BIP	0.00%	÷0.975	×0.800	—	×1.012	0.00%
Home runs /BIP	7.69%	÷1.214	×0.900	—	×1.012	5.77%

Factors used: league row CAR. Park (home-season share, regressed): HR 143, 1B 107, 2B 99, 3B 95, K 101, BB 94 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).

Result: wOBA .275 → .195; ISO .222 → .153; BABIP .167 → .144. 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 ADelmarva Shorebirds · 262 PAwOBA .324 → .261 (−63)K% 22.5% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.52%	÷0.977	×1.340	—	—	30.87%
BB% (unintentional) /PA	9.54%	÷1.009	×0.660	—	×1.015	6.34%
HBP% /PA	1.15%	—	×0.770	—	×1.015	0.89%
Singles /BIP	22.99%	÷1.034	×0.920	×1.031	×1.015	21.41%
Doubles /BIP	8.62%	÷1.027	×0.820	×1.031	×1.015	7.20%
Triples /BIP	0.57%	÷0.964	×0.940	×1.031	×1.015	0.59%
Home runs /BIP	2.87%	÷0.902	×0.820	—	×1.015	2.65%

Factors used: league row SAL. Park (home-season share, regressed): HR 80, 1B 107, 2B 106, 3B 93, K 95, BB 102 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .324 → .261; ISO .137 → .114; BABIP .331 → .300. 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 ROKGCL Orioles · 116 PAwOBA .314 → .236 (−77)K% 14.7% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.66%	÷1.000	×1.440	—	—	21.10%
BB% (unintentional) /PA	12.07%	÷1.000	×0.620	—	×0.995	7.45%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	20.73%	÷1.000	×0.820	×1.008	×0.995	17.06%
Doubles /BIP	3.66%	÷1.000	×0.720	×1.008	×0.995	2.64%
Triples /BIP	0.00%	÷1.000	×0.720	×1.008	×0.995	0.00%
Home runs /BIP	4.88%	÷1.000	×0.780	—	×0.995	3.79%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .314 → .236; ISO .152 → .117; BABIP .256 → .205. 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 — .