Bradley Zimmer

PosCF

B/TL/R

Born1992-11-27

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	28	AAACLE	75	.267/.413/.367	1	4	85	—	.222/.347/.302
2021	28	MLBCleveland Ind…	348	.227/.328/.344	8	15	94	1.5
2022	29	MLBTOR	117	.124/.207/.229	2	3	24	-0.5
2023	30	AAABOS	305	.207/.321/.341	8	19	42	—	.161/.249/.245
2024	31	No MLB games played
2025	32	No MLB games played
2026	33	No MLB games played

Last 3 seasons WAR 1.0

Contract

No contract data on file.

Skills · percentileStatcast 2020-2022

Speed90

Barrel%58

Avg EV51

xwOBA39

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	22	AA	Akron RubberDucks	—	214	187	41	9	1	6	18	54	8	12	2	219	315	374	689	155	273	25	8	312	68	—	—	—	—	—	—
2015	22	A+	Lynchburg Hillcats	—	335	286	88	17	3	10	37	77	10	32	5	308	405	493	898	185	388	23	11	397	93	—	—	—	—	—	—
2016	23	AAA	Columbus Clippers	—	150	128	31	5	0	1	21	56	0	5	1	242	349	305	654	62	423	37	14	305	51	—	—	—	—	—	—
2016	23	AA	Akron RubberDucks	—	407	340	86	20	6	14	56	115	8	33	13	253	371	471	842	218	341	28	14	371	95	—	—	—	—	—	—
2016	23	INTL	Mesa Solar Sox	—	95	74	19	7	0	4	19	26	2	8	1	257	421	514	935	257	341	27	20	413	166	—	—	—	—	—	—
2017	24	MLB	Cleveland Indians	—	332	299	72	15	2	8	26	99	4	18	1	241	310	385	695	144	328	30	8	309	95	-2	+3	+1	+2	+7	1.1
2017	24	AAA	Columbus Clippers	—	144	126	37	11	2	5	14	43	2	9	3	294	373	532	905	238	405	30	10	390	106	—	—	—	—	—	—
2018	25	MLB	Cleveland Indians	—	114	106	24	5	0	2	7	44	1	4	1	226	281	330	611	104	367	39	6	277	73	-4	+0	+2	+1	+2	0.2
2018	25	AAA	Columbus Clippers	—	28	27	4	0	0	1	1	11	0	1	0	148	179	259	438	111	200	39	4	196	-14	—	—	—	—	—	—
2019	26	AAA	Columbus Clippers	—	26	22	8	1	1	1	3	6	0	2	0	364	440	636	1.076	273	467	23	12	446	158	—	—	—	—	—	—
2020	27	MLB	Cleveland Indians	—	50	37	6	0	0	1	7	14	5	2	1	162	367	243	611	81	217	28	14	303	91	-1	+0	-1	+0	+1	0.0
2021	28	MLB	Cleveland Indians	—	348	299	68	9	1	8	30	122	15	15	3	227	328	344	673	117	347	35	9	308	94	-2	+2	+6	+2	+8	1.5
2021	28	AAA	Columbus Clippers	—	75	60	16	3	0	1	10	26	5	4	2	267	413	367	780	100	455	35	13	366	85	—	—	—	—	—	—
2022	29	MLB	Toronto Blue Jays	—	117	105	13	5	0	2	5	45	6	3	2	124	207	229	435	105	190	38	4	204	24	-11	-0	+3	+0	+3	-0.5
2023	30	AAA	Worcester Red Sox	—	305	261	54	7	2	8	34	114	10	19	6	207	321	341	662	134	331	37	11	306	42	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	961	846	183	34	3	21	75	324	31	42	8	216	304	338	642	122	318	34	8	292	84	-19	+5	+12	+4	+21	2.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	22	AA MLE	Akron RubberDucks	—	214	191	38	7	1	6	14	65	8	12	2	199	282	340	622	141	261	30	7	269	68	—	—	—	—	—	—
2015	22	A+ MLE	Lynchburg Hillcats	—	335	301	74	13	2	8	22	106	10	32	5	246	318	382	700	136	346	32	7	306	93	—	—	—	—	—	—
2016	23	AAA MLE	Columbus Clippers	—	150	135	28	4	0	1	14	70	0	5	1	207	282	259	541	52	415	47	9	244	51	—	—	—	—	—	—
2016	23	AA MLE	Akron RubberDucks	—	407	355	78	17	5	11	41	141	8	33	13	220	314	389	703	169	327	35	10	309	95	—	—	—	—	—	—
2017	24	MLB MLE	Cleveland Indians	—	332	300	72	15	2	8	25	99	4	18	1	240	307	383	690	143	328	30	8	308	95	-2	+3	+1	+2	+7	1.1
2017	24	AAA MLE	Columbus Clippers	—	144	132	33	9	2	3	8	52	2	9	3	250	303	417	719	167	389	36	6	325	106	—	—	—	—	—	—
2018	25	MLB MLE	Cleveland Indians	—	114	106	24	5	0	2	7	44	1	4	1	226	281	330	611	104	367	39	6	276	73	-4	+0	+2	+1	+2	0.2
2018	25	AAA MLE	Columbus Clippers	—	28	27	4	0	0	1	1	13	0	1	0	148	179	259	438	111	191	46	4	148	-14	—	—	—	—	—	—
2019	26	AAA MLE	Columbus Clippers	—	26	23	8	1	1	1	2	7	0	2	0	348	400	609	1.009	261	444	27	8	402	158	—	—	—	—	—	—
2020	27	MLB MLE	Cleveland Indians	—	50	37	6	0	0	1	7	14	5	2	1	162	367	243	611	81	217	28	14	303	91	-1	+0	-1	+0	+1	0.0
2021	28	MLB MLE	Cleveland Indians	—	348	299	68	9	1	8	30	122	15	15	3	227	328	344	673	117	347	35	9	308	94	-2	+2	+6	+2	+8	1.5
2021	28	AAA MLE	Columbus Clippers	—	75	63	14	2	0	1	7	31	5	4	2	222	347	302	648	79	424	41	9	294	85	—	—	—	—	—	—
2022	29	MLB MLE	Toronto Blue Jays	—	117	105	13	5	0	2	5	45	6	3	2	124	207	229	435	105	190	38	4	204	24	-11	-0	+3	+0	+3	-0.5
2023	30	AAA MLE	Worcester Red Sox	—	305	273	44	4	2	5	22	134	10	19	6	161	249	245	495	84	293	44	7	230	42	—	—	—	—	—	—
2015	22	A+ MLE	2 teams	—	549	492	112	21	3	13	36	171	18	44	7	228	304	362	666	134	318	31	7	292	83	—	—	—	—	—	—
2015	22	A+ RAW	2 teams	—	549	473	129	26	4	16	55	131	18	44	7	273	370	446	816	173	343	24	10	364	83	—	—	—	—	—	—
2016	23	AA MLE	3 teams	—	652	573	125	25	6	14	65	246	10	46	15	218	309	356	665	138	355	38	10	291	83	—	—	—	—	—	—
2016	23	AA RAW	3 teams	—	652	542	136	32	6	19	96	197	10	46	15	251	373	437	811	186	359	30	15	362	83	—	—	—	—	—	—
2017	24	MLB MLE	2 teams	—	476	432	106	24	5	11	33	151	6	27	4	245	308	400	708	155	347	32	7	313	98	-1	+4	+1	+2	+10	1.6
2017	24	MLB RAW	2 teams	—	476	425	109	26	4	13	40	142	6	27	4	256	329	428	757	172	350	30	8	334	98	-1	+4	+1	+2	+10	1.6
2018	25	MLB MLE	2 teams	—	142	133	28	5	0	3	8	57	1	5	1	211	261	316	576	105	342	40	6	251	56	-7	+1	+2	+1	+3	-0.1
2018	25	MLB RAW	2 teams	—	142	133	28	5	0	3	8	55	1	5	1	211	261	316	576	105	333	39	6	261	56	-7	+1	+2	+1	+3	-0.1
2019	26	AAA MLE	Columbus Clippers	—	26	23	8	1	1	1	2	7	0	2	0	348	400	609	1.009	261	467	27	8	402	158	—	—	—	—	—	—
2019	26	AAA RAW	Columbus Clippers	—	26	22	8	1	1	1	3	6	0	2	0	364	440	636	1.076	273	467	23	12	446	158	—	—	—	—	—	—
2020	27	MLB MLE	Cleveland Indians	—	50	37	6	0	0	1	7	14	5	2	1	162	367	243	611	81	217	28	14	303	91	-1	+0	-1	+0	+1	0.0
2020	27	MLB RAW	Cleveland Indians	—	50	37	6	0	0	1	7	14	5	2	1	162	367	243	611	81	217	28	14	303	91	-1	+0	-1	+0	+1	0.0
2021	28	MLB MLE	2 teams	—	423	362	82	11	1	9	37	153	20	19	5	227	332	337	669	110	358	36	9	305	93	-4	+2	+6	+2	+9	1.5
2021	28	MLB RAW	2 teams	—	423	359	84	12	1	9	40	148	20	19	5	234	344	348	692	114	364	35	9	318	93	-4	+2	+6	+2	+9	1.5
2022	29	MLB MLE	Toronto Blue Jays	—	117	105	13	5	0	2	5	45	6	3	2	124	207	229	435	105	190	38	4	204	24	-11	-0	+3	+0	+3	-0.5
2022	29	MLB RAW	Toronto Blue Jays	—	117	105	13	5	0	2	5	45	6	3	2	124	207	229	435	105	190	38	4	204	24	-11	-0	+3	+0	+3	-0.5
2023	30	AAA MLE	Worcester Red Sox	—	305	273	44	4	2	5	22	134	10	19	6	161	249	245	495	84	291	44	7	230	42	—	—	—	—	—	—
2023	30	AAA RAW	Worcester Red Sox	—	305	261	54	7	2	8	34	114	10	19	6	207	321	341	662	134	331	37	11	306	42	—	—	—	—	—	—
2015	22	A+ MLE	2 teams	—	549	490	112	21	3	13	36	171	18	44	7	229	304	363	667	135	313	31	7	292	83	—	—	—	—	—	—
2016	23	AA MLE	3 teams	—	652	572	125	25	6	14	65	246	10	46	15	219	309	357	665	138	351	38	10	291	83	—	—	—	—	—	—
2017	24	MLB MLE	2 teams	—	476	434	106	24	5	11	33	151	6	27	4	244	308	399	706	154	347	32	7	313	98	—	—	—	—	—	—
2018	25	MLB MLE	2 teams	—	142	132	28	5	0	3	8	57	1	5	1	212	261	318	579	106	332	40	6	251	56	—	—	—	—	—	—
2019	26	AAA MLE	Columbus Clippers	—	26	24	8	1	1	1	2	7	0	2	0	333	400	583	983	250	444	27	8	402	158	—	—	—	—	—	—
2020	27	MLB MLE	Cleveland Indians	—	50	38	6	0	0	1	7	14	5	2	1	158	367	237	604	79	217	28	14	303	91	—	—	—	—	—	—
2021	28	MLB MLE	2 teams	—	423	363	82	11	1	9	37	153	20	19	5	226	332	336	668	110	361	36	9	305	93	—	—	—	—	—	—
2022	29	MLB MLE	Toronto Blue Jays	—	117	105	13	5	0	2	5	45	6	3	2	124	207	229	435	105	190	38	4	204	24	—	—	—	—	—	—
2023	30	AAA MLE	Worcester Red Sox	—	305	270	44	4	2	5	22	134	10	19	6	163	249	248	497	85	293	44	7	230	42	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	961	846	183	34	3	21	75	324	31	42	8	216	304	338	642	122	318	34	8	292	80	-19	+5	+12	+4	+21	2.4
/ 162G	—	A+C		—	650	572	124	23	2	14	51	219	21	28	5	217	304	337	642	121	320	34	8	292	80	-13	+4	+8	+3	+14	1.6
Career	—	MLE		—	2740	2430	524	96	18	59	215	978	76	167	41	216	300	343	642	127	331	36	8	286	80	-19	+5	+12	+4	+21	2.4
/ 162G	—	MLE		—	650	576	124	23	4	14	51	232	18	40	10	215	299	342	641	127	330	36	8	286	80	-13	+4	+8	+3	+14	1.6

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.

2023 AAAWorcester Red Sox · 305 PAwOBA .296 → .230 (−66)K% 37.4% → 43.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.38%	÷1.023	×1.200	—	—	43.85%
BB% (unintentional) /PA	10.49%	÷0.986	×0.690	—	×0.962	7.07%
HBP% /PA	3.28%	—	×0.940	—	×0.962	2.96%
Singles /BIP	25.17%	÷0.996	×0.930	×1.050	×0.962	23.73%
Doubles /BIP	4.76%	÷1.309	×0.830	×1.050	×0.962	3.05%
Triples /BIP	1.36%	÷0.905	×0.970	×1.050	×0.962	1.47%
Home runs /BIP	5.44%	÷1.008	×0.700	—	×0.962	3.64%

Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 99, 2B 162, 3B 81, K 105, BB 97 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .296 → .230; ISO .134 → .091; BABIP .331 → .293. 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 AAAColumbus Clippers · 75 PAwOBA .357 → .294 (−64)K% 34.7% → 41.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.67%	÷1.002	×1.200	—	—	41.52%
BB% (unintentional) /PA	13.33%	÷1.008	×0.690	—	×0.982	8.96%
HBP% /PA	6.67%	—	×0.940	—	×0.982	6.15%
Singles /BIP	35.29%	÷0.949	×0.930	—	×0.982	33.96%
Doubles /BIP	8.82%	÷0.949	×0.830	—	×0.982	7.58%
Triples /BIP	0.00%	÷0.900	×0.920	—	×0.982	0.00%
Home runs /BIP	2.94%	÷1.034	×0.700	—	×0.982	1.96%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 90, 2B 90, 3B 80, K 100, BB 102 — 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).

Result: wOBA .357 → .294; ISO .100 → .073; BABIP .455 → .424. 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 AAAColumbus Clippers · 26 PAwOBA .434 → .402 (−32)K% 23.1% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.08%	÷0.993	×1.200	—	—	27.89%
BB% (unintentional) /PA	11.54%	÷1.089	×0.690	—	×1.003	7.33%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	31.25%	÷0.970	×0.930	—	×1.003	30.07%
Doubles /BIP	6.25%	÷0.995	×0.830	—	×1.003	5.23%
Triples /BIP	6.25%	÷0.900	×0.970	—	×1.003	6.76%
Home runs /BIP	6.25%	÷0.985	×0.840	—	×1.003	5.35%

Factors used: league row IL. Park (home-season share, regressed): HR 97, 1B 94, 2B 99, 3B 80, K 99, BB 118 — 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).

Result: wOBA .434 → .402; ISO .273 → .266; BABIP .467 → .444. 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 AAAColumbus Clippers · 28 PAwOBA .191 → .148 (−43)K% 39.3% → 46.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	39.29%	÷1.017	×1.200	—	—	46.37%
BB% (unintentional) /PA	3.57%	÷0.972	×0.690	—	×1.018	2.58%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	18.75%	÷0.974	×0.930	—	×1.018	18.22%
Doubles /BIP	0.00%	÷0.958	×0.830	—	×1.018	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.018	0.00%
Home runs /BIP	6.25%	÷1.135	×0.840	—	×1.018	4.71%

Factors used: league row IL. Park (home-season share, regressed): HR 127, 1B 95, 2B 92, 3B 80, K 103, BB 94 — 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 .191 → .148; ISO .111 → .075; BABIP .200 → .191. 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 AAAColumbus Clippers · 144 PAwOBA .380 → .325 (−55)K% 29.9% → 36.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.86%	÷0.989	×1.200	—	—	36.23%
BB% (unintentional) /PA	9.03%	÷1.089	×0.690	—	×1.033	5.91%
HBP% /PA	1.39%	—	×0.940	—	×1.033	1.35%
Singles /BIP	22.89%	÷0.945	×0.930	×1.017	×1.033	23.67%
Doubles /BIP	13.25%	÷1.018	×0.830	×1.017	×1.033	11.36%
Triples /BIP	2.41%	÷0.900	×0.970	×1.017	×1.033	2.73%
Home runs /BIP	6.02%	÷1.231	×0.840	—	×1.033	4.25%

Factors used: league row IL. Park (home-season share, regressed): HR 146, 1B 89, 2B 104, 3B 80, K 98, BB 118 — 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 ×1.017.

Result: wOBA .380 → .325; ISO .238 → .191; BABIP .405 → .389. 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 AAAkron RubberDucks · 407 PAwOBA .361 → .309 (−52)K% 28.3% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.26%	÷0.997	×1.220	—	—	34.57%
BB% (unintentional) /PA	13.51%	÷0.950	×0.700	—	×1.012	10.08%
HBP% /PA	1.97%	—	×0.850	—	×1.012	1.69%
Singles /BIP	20.44%	÷1.014	×0.970	×1.045	×1.012	20.69%
Doubles /BIP	8.89%	÷1.015	×0.860	×1.045	×1.012	7.96%
Triples /BIP	2.67%	÷1.150	×0.950	×1.045	×1.012	2.33%
Home runs /BIP	6.22%	÷0.949	×0.780	—	×1.012	5.18%

Factors used: league row EL. Park (home-season share, regressed): HR 90, 1B 103, 2B 103, 3B 130, K 99, BB 90 — 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 ×1.045.

Result: wOBA .361 → .309; ISO .218 → .181; BABIP .341 → .327. 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 AAAColumbus Clippers · 150 PAwOBA .298 → .244 (−54)K% 37.3% → 46.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.33%	÷0.965	×1.200	—	—	46.41%
BB% (unintentional) /PA	14.00%	÷1.077	×0.690	—	×1.048	9.40%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	34.72%	÷1.018	×0.930	×1.050	×1.048	34.92%
Doubles /BIP	6.94%	÷1.043	×0.830	×1.050	×1.048	6.08%
Triples /BIP	0.00%	÷0.901	×0.970	×1.050	×1.048	0.00%
Home runs /BIP	1.39%	÷1.113	×0.840	—	×1.048	1.10%

Factors used: league row IL. Park (home-season share, regressed): HR 123, 1B 104, 2B 109, 3B 80, K 93, BB 115 — 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 ×1.050.

Result: wOBA .298 → .244; ISO .062 → .049; BABIP .423 → .415. 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 A+Lynchburg Hillcats · 335 PAwOBA .389 → .306 (−82)K% 23.0% → 31.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.99%	÷1.031	×1.420	—	—	31.66%
BB% (unintentional) /PA	10.75%	÷1.046	×0.630	—	×0.998	6.46%
HBP% /PA	2.99%	—	×0.860	—	×0.998	2.56%
Singles /BIP	27.75%	÷1.026	×0.940	×1.008	×0.998	25.58%
Doubles /BIP	8.13%	÷1.000	×0.830	×1.008	×0.998	6.79%
Triples /BIP	1.44%	÷0.921	×0.800	×1.008	×0.998	1.25%
Home runs /BIP	4.78%	÷1.129	×0.900	—	×0.998	3.81%

Factors used: league row CAR. Park (home-season share, regressed): HR 126, 1B 105, 2B 100, 3B 84, K 106, BB 109 — 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 ×1.008.

Result: wOBA .389 → .306; ISO .185 → .144; BABIP .388 → .346. 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 — .