Big scores in tests

[KiWiNiNjA]

This innings has made his average jump from 46 to over 51, which incidentally goes to show (in part) why Bradman's average was so high.

Bradman had-

2 scores over 300s (plus one 299no)
10 scores over 200 (not including the two 300 plus)
6 scores over 150 (not including the above)

In all he passed 150 in tests 18 times (from 80 innings), plus ten other scores of 100 plus.

So Bradman's average was so high because he scored so many runs?



That's all. Carry on.

 

[Valer]

Nah, his spell to Kallis was for the most part good-length outswingers with serious heat.

Cricinfo suggests ~5 bouncers. Certainly most of it wasn't chin music but there were enough good ones to get him thinking about it. Not that he didn't get beaten off a good/ full length before that ball as well...

 

[watson]

The whole attacking-with-bounce is wildly overrated. Far better to just get the bastard out. Sure, it's good to push them back with judicious bouncers but it definitely shouldn't be any bowler's MO. Besides, if they do need a more aggressive type bowler, that's what Broad is for... if he actually bowls at full steam.

Broad doesn't get adequate lift from short-of-a-length. And he is not a bowler with a good attacking bouncer who can unsettle the batsman so he, or someone else, can knock them over with a good length out-swinger or yorker. It doesn't matter how aggressive he happens to be, his short-pitched stuff just doesn't cut the mustard.

Will Tremlett/Finn be available for the next encounter? That's now the pertinent question.

 

[Spark]

Look, with all due respect, if you honestly think that this attack, which has knocked over every side and then some for ****-all repeatedly for innings after innings over the last few years until this week needs any changes now aside from perhaps Bresnan, then...

 

[Red]

So Bradman's average was so high because he scored so many runs?



That's all. Carry on.

Correct!

And I know it's a bit of a "duh" thing.

But it was his really big scores that put his avg up there. More often than not if he made 100, he pushed the score past 150/200.

 

[BoyBrumby]

Correct!

And I know it's a bit of a "duh" thing.

But it was his really big scores that put his avg up there. More often than not if he made 100, he pushed the score past 150/200.

We might be wandering through the picturesque ground of the Bleedin' Obvious Estate, but the "Daddy" hundreds are an important statement to my way of thinking.

It's a stat that very rarely sees the light of day, but I wonder whose 100 to 150 conversion rate is the best? No prizes for guessing who'll be number one, however number two might be interesting. I bet Lara is up there. He usually went massive once he was there.

 

[Jager]

Sangakkara will place well too, IMO

 

[Spark]

Batting records | Test matches | Cricinfo Statsguru | ESPN Cricinfo

Not quite what you were looking for but it is somewhat instructive nonetheless. One name stands out massively - ABdV - and I'm not surprised at all, once he's set and the bowlers are tired he's just murder to bowl to.

Last ten years

Batting records | Test matches | Cricinfo Statsguru | ESPN Cricinfo

Although I don't really know how useful this stat is, given how easily not outs make an average enormous.

 

[Jager]

Trumper and McCabe up there too, sweet. Not outs probably benefit the batsman too heavily but regardless still interesting.

 

[BoyBrumby]

Batting records | Test matches | Cricinfo Statsguru | ESPN Cricinfo

Not quite what you were looking for but it is somewhat instructive nonetheless. One name stands out massively - ABdV - and I'm not surprised at all, once he's set and the bowlers are tired he's just murder to bowl to.

Last ten years

Batting records | Test matches | Cricinfo Statsguru | ESPN Cricinfo

Although I don't really know how useful this stat is, given how easily not outs make an average enormous.

Not quite what I was after, I just meant how many times a batsman makes 150 once he's passed 100 as a ratio.

I can't work out how to do it, but here's the list of most scores over 150.

 

[Valer]

We might be wandering through the picturesque ground of the Bleedin' Obvious Estate, but the "Daddy" hundreds are an important statement to my way of thinking.

It's a stat that very rarely sees the light of day, but I wonder whose 100 to 150 conversion rate is the best? No prizes for guessing who'll be number one, however number two might be interesting. I bet Lara is up there. He usually went massive once he was there.

Average runs in 100+ innings (Qual 500)


As for the other stat Qual 6 scores of 150+

Player	50s	100s	150s	200s 	150/50	150/150	200/100
DL Amiss (Eng) 	22	11	8	2	0.363636364	0.727272727	0.181818182
Zaheer Abbas (Pak) 	32	12	8	4	0.25	0.666666667	0.333333333
V Sehwag (India) 	54	22	14	6	0.259259259	0.636363636	0.272727273
DG Bradman (Aus) 	42	29	18	12	0.428571429	0.620689655	0.413793103
RB Simpson (Aus) 	27	10	6	3	0.222222222	0.6	0.3
BC Lara (WI) 	82	34	19	9	0.231707317	0.558823529	0.264705882
TW Graveney (Eng) 	31	11	6	1	0.193548387	0.545454545	0.090909091
KC Sangakkara (SL) 	69	30	16	8	0.231884058	0.533333333	0.266666667
L Hutton (Eng) 	52	19	10	4	0.192307692	0.526315789	0.210526316
MS Atapattu (SL) 	33	16	8	6	0.242424242	0.5	0.375
HH Gibbs (SA) 	40	14	7	2	0.175	0.5	0.142857143
AR Morris (Aus) 	24	12	6	1	0.25	0.5	0.083333333
ED Weekes (WI) 	34	15	7	2	0.205882353	0.466666667	0.133333333
AB de Villiers (SA) 	42	13	6	2	0.142857143	0.461538462	0.153846154
CH Gayle (WI) 	46	13	6	3	0.130434783	0.461538462	0.230769231
WR Hammond (Eng) 	46	22	10	7	0.217391304	0.454545455	0.318181818
DPMD Jayawardene (SL) 	73	31	14	6	0.191780822	0.451612903	0.193548387
KP Pietersen (Eng) 	47	20	9	3	0.191489362	0.45	0.15
DI Gower (Eng) 	57	18	8	2	0.140350877	0.444444444	0.111111111
SR Waugh (Aus) 	82	32	14	1	0.170731707	0.4375	0.03125
Javed Miandad (Pak) 	66	23	10	6	0.151515152	0.434782609	0.260869565
ST Jayasuriya (SL) 	45	14	6	3	0.133333333	0.428571429	0.214285714
RN Harvey (Aus) 	45	21	9	2	0.2	0.428571429	0.095238095
ME Trescothick (Eng) 	43	14	6	1	0.139534884	0.428571429	0.071428571
GS Sobers (WI) 	56	26	11	2	0.196428571	0.423076923	0.076923077
GA Gooch (Eng) 	46	20	8	2	0.173913043	0.4	0.1
RB Kanhai (WI) 	43	15	6	2	0.139534884	0.4	0.133333333
JB Hobbs (Eng) 	43	15	6	1	0.139534884	0.4	0.066666667
SR Tendulkar (India) 	116	51	20	6	0.172413793	0.392156863	0.117647059
G Kirsten (SA) 	55	21	8	3	0.145454545	0.380952381	0.142857143
Mohammad Yousuf (Pak) 	57	24	9	4	0.157894737	0.375	0.166666667
RB Richardson (WI) 	43	16	6	#N/A	0.139534884	0.375	#N/A
RT Ponting (Aus) 	103	41	15	6	0.145631068	0.365853659	0.146341463
VVS Laxman (India) 	73	17	6	2	0.082191781	0.352941176	0.117647059
SM Gavaskar (India) 	79	34	12	4	0.151898734	0.352941176	0.117647059
DB Vengsarkar (India) 	52	17	6	#N/A	0.115384615	0.352941176	#N/A
Younis Khan (Pak) 	46	20	7	3	0.152173913	0.35	0.15
GS Chappell (Aus) 	55	24	8	4	0.145454545	0.333333333	0.166666667
MP Vaughan (Eng) 	36	18	6	#N/A	0.166666667	0.333333333	#N/A
JH Kallis (SA) 	98	43	14	2	0.142857143	0.325581395	0.046511628
GC Smith (SA) 	57	25	8	4	0.140350877	0.32	0.16
M Azharuddin (India) 	43	22	7	#N/A	0.162790698	0.318181818	#N/A
MC Cowdrey (Eng) 	60	22	7	#N/A	0.116666667	0.318181818	#N/A
CG Greenidge (WI) 	53	19	6	4	0.113207547	0.315789474	0.210526316
MJ Clarke (Aus) 	41	19	6	2	0.146341463	0.315789474	0.105263158
R Dravid (India) 	99	36	11	5	0.111111111	0.305555556	0.138888889
JL Langer (Aus) 	53	23	7	3	0.132075472	0.304347826	0.130434783
AR Border (Aus) 	90	27	8	2	0.088888889	0.296296296	0.074074074
IVA Richards (WI) 	69	24	7	3	0.101449275	0.291666667	0.125

Data was incorrect. Updated.

 

[The Sean]

Didn't Sehwag also have a run of about a dozen tons in a row that he took beyond 150? It was an extraordinary sequence however many it was.

 

[Dan]

Just ran this query, for batsman converting starts (defined as making it to 30).
Batting records | Test matches | Cricinfo Statsguru | ESPN Cricinfo
If you didn't get Lara by 30, odds are he was making a big one.

Batting records | Test matches | Cricinfo Statsguru | ESPN Cricinfo

Some interesting names up there.

 

[Red]

Just for interests sake:

Bradman made 6996 test runs in total.

2483 of those runs came AFTER he had already reached 100 in a particular innings (about 35%).

 

[Valer]

I see spark beat me to the cricinfo data. As for the actual query iirc you can't do it in cricinfo.

Easy enough to do in excel tho. Grab the lists of 100+ // 150+ and use vlookup to merge them. After this just work out the ratio and resort them.

 

[Red]

Take away Bradman's runs scored AFTER he was already one hundred (for no real reason other than interest), meaning his highest score is capped at 100, and his average drops to 56....

 

[BoyBrumby]

Average runs in 100+ innings (Qual 500)


As for the other stat Qual 6 scores of 150+

	100	150+	
DL Amiss (Eng) 	11	8	0.727272727
Zaheer Abbas (Pak) 	12	8	0.666666667
DG Bradman (Aus) 	28	18	0.642857143
V Sehwag (India) 	22	14	0.636363636
RB Simpson (Aus) 	10	6	0.6
BC Lara (WI) 	33	19	0.575757576
TW Graveney (Eng) 	11	6	0.545454545
AR Morris (Aus) 	11	6	0.545454545
KC Sangakkara (SL) 	30	16	0.533333333
L Hutton (Eng) 	19	10	0.526315789
MS Atapattu (SL) 	16	8	0.5
HH Gibbs (SA) 	14	7	0.5
ED Weekes (WI) 	14	7	0.5
WR Hammond (Eng) 	21	10	0.476190476
AB de Villiers (SA) 	13	6	0.461538462
CH Gayle (WI) 	13	6	0.461538462
ME Trescothick (Eng) 	13	6	0.461538462
Javed Miandad (Pak) 	22	10	0.454545455
DPMD Jayawardene (SL) 	31	14	0.451612903
SR Waugh (Aus) 	31	14	0.451612903
KP Pietersen (Eng) 	20	9	0.45
DI Gower (Eng) 	18	8	0.444444444
GS Sobers (WI) 	25	11	0.44
RN Harvey (Aus) 	21	9	0.428571429
ST Jayasuriya (SL) 	14	6	0.428571429
RB Kanhai (WI) 	14	6	0.428571429
GA Gooch (Eng) 	19	8	0.421052632
G Kirsten (SA) 	20	8	0.4
JB Hobbs (Eng) 	15	6	0.4
RT Ponting (Aus) 	38	15	0.394736842
SR Tendulkar (India) 	51	20	0.392156863
Mohammad Yousuf (Pak) 	23	9	0.391304348
SM Gavaskar (India) 	31	12	0.387096774
RB Richardson (WI) 	16	6	0.375
GS Chappell (Aus) 	22	8	0.363636364
VVS Laxman (India) 	17	6	0.352941176
MP Vaughan (Eng) 	17	6	0.352941176
DB Vengsarkar (India) 	17	6	0.352941176
Younis Khan (Pak) 	20	7	0.35
JH Kallis (SA) 	41	14	0.341463415
CG Greenidge (WI) 	18	6	0.333333333
R Dravid (India) 	34	11	0.323529412
GC Smith (SA) 	25	8	0.32
M Azharuddin (India) 	22	7	0.318181818
MC Cowdrey (Eng) 	22	7	0.318181818
MJ Clarke (Aus) 	19	6	0.315789474
JL Langer (Aus) 	23	7	0.304347826
IVA Richards (WI) 	24	7	0.291666667
AR Border (Aus) 	25	7	0.28

Ta.

Presumption is the curse of mankind, as they say. Would never in a million years have had Amiss & Abbas ahead of the Don.

No surprises to see Lara & Sehwag so high there tho.

 

[The Sean]

Also not a big fan of factoring not-outs into those average century plus scores. Yes, I know that's how batting averages are calculated and all, but for a stat like that in particular it just seems to completely miss the point.

 

[Spark]

Just ran this query, for batsman converting starts (defined as making it to 30).
Batting records | Test matches | Cricinfo Statsguru | ESPN Cricinfo
If you didn't get Lara by 30, odds are he was making a big one.

Batting records | Test matches | Cricinfo Statsguru | ESPN Cricinfo

Some interesting names up there.

Yeah I've posted a similar stat a few times, and it's pretty interesting to see the names that actually are excellent converters, people who aren't usually thought of as such (Clarke and Bell stand out). I think that stat is prone to some fallacies, though, as obviously 80s and 90s will contribute decently to it when really that's the kind of thing this kind of analysis looks down on.

 

[Spark]

Also not a big fan of factoring not-outs into those average century plus scores. Yes, I know that's how batting averages are calculated and all, but for a stat like that in particular it just seems to completely miss the point.

Yeah, but I don't know how to take it out, unfortunately.