Is Kings Theatre (RiP) the NH sire to follow ?

[Alexander]

Here is my list of sires so far;
I’ve included those mentioned in the earlier threads to add interest. However, its a randomly chosen list which will of course alter as others are added. I suppose I should work to a list of about 100 – that should give me a useful guide. I have the seed of an idea of possibly using the list for selective bets ?
(the ranking is done by taking top ten runners in years 2011 & 2010, by prize monies earned, divided by no of runs and then as % of 500k. The bracketed figures are the Racing Post Ratings averages for these top ten in each year)

1 Cadoudal 45% (146)

of Long Run & Big Bucks fame

2 Oscar 34% (153)
3 Dom Alco 34% (142)
4 Presenting 30% (145)
5 Network 30% (137)
6 Astrabad 26% (124)
7 Kings Theatre 23% (155)
8 Saint Des Saints 23% (125)
9 Montjeu 20% (138)
10 Flemensfirth 19% (146)
11 Trempolino 18% (125)
12 Al Namix 17% (125)
13 Old Vic 15% (142)
14 Westerner 12% (103)
15 Midnight Legend 8% (135)
16 Galileo 6% (132)
17 Witness Box 5% (131)
18 Overbury 5% (127)
19 Karinga Bay 4% (126)
20 Kalanisi 4% (122)
21 Beat Hollow 4% (118)
22 In The Wings 3% (119)
23 Hawk Wing 2% (114)
24 Mark of Esteem 2% (109)
25 Rainbow High 1% (100)

[Eclipse First]

While prizemoney in the NH sphere is not as misleading as on the flat, it is not a desperately reliable indicator of quality of race. Cadoudal had so few runners last season (15) and only 3 individual winners, I’m sure that his runners would show a huge level stakes deficit if backed blind. As he died in 2007 there he may still have one or two more runners of merit emerge especially as most of his better progeny are from his later books.
I’m not sure if you are trying to identify potential stars but generally, when a NH stallion begins to shine the chance to send him a mare is no longer possible. Looking at the sales, competition for Yeats progeny was very keen, though as a son of Sadler’s Wells, it is hardly surprising.

[The Young Fella]

I’m not sure but think I may have heard somewhere that a lot of Witness Box’s are wrong on their wind

Also wrong in the

head

according to a startling number of my notes and Racing Post comments in running. Many seem ungenuine in one way or another.

[Alexander]

Taking these sire ratings a step further I ventured a few bob on the scoop 6 looking soley at the better bred runners as per this list. Although I am still broke the results were better than any of my previous exploits. I have been a form student for years and tried anything and everything. This week armed with my list, I found three winners and 5 were placed.

I am now a complete convert for the breeding as my betting basis !

1 Cadoudal 45% (146)
2 Oscar 34% (153)
3 Dom Alco 34% (142)
4 Presenting 30% (145)
5 Network 30% (137)
6 Astrabad 26% (124)
7 Kings Theatre 23% (155)
8 Saint Des Saints 23% (125)
9 Montjeu 20% (138)
10 Flemensfirth 19% (146)
11 Kahyasi 19% (124)
12 Trempolino 18% (125)
13 Al Namix 17% (125)
14 Bob Back 15% (148)
15 Old Vic 15% (142)
16 Sindar 15% (118)
17 Beneficial 14% (142)
18 Anshan 12% (145)
19 Sadler’s Wells 12% (138)
20 Westerner 12% (103)
21 Definite Article 11% (136)
22 Goldneyev 10% (102)
23 Kayf Tara 8% (139)
24 Alflora 8%(135)
25 Midnight Legend 8% (135)
26 Saddlers’ Hall 7% (137)
27 Galileo 6% (132)
28 Dubai Destination 6% (118)
29 Witness Box 5% (131)
30 Moscow Society 5% (130)
31 Alharath 5% (127)
32 Overbury 5% (127)
33 Pivotal 5% (113)
34 Ragmar 5% (113)
35 Karinga Bay 4% (126)
36 Lord Americo 4% (123)
37 Kalanisi 4% (122)
38 Beat Hollow 4% (118)
39 Highest Honor 4% (115)
40 Spectrum 4% (113)
41 Indian Danehill 3% (120)
42 In The Wings 3% (119)
43 Sakhee 3% (113)
44 Rio De Rome 3% (105)
45 Hawk Wing 2% (114)
46 Sonus 2% (116)
47 Selkirk 2% (116)
48 Orpen 2% (113)
49 Mark of Esteem 2% (109)
50 Diktat 2% (107)
51 Bahri 1% (109)
52 Rainbow High 1% (100)
53 Desert Style 1% (85)
54 Funny Baly I/D
55 Lear Spear I/D
56 Kalmoss I/D
57 Atraf I/D
58 Blueprint 1/D
59 Distant Music I/D
60 Zilzal I/D
61 Passing Glance I/D
62 Unfuwain I/D
( I/D indicates insufficient data to assign a %)

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