2009 KNSB Dutch Allround Championships
The 2009 KNSB Dutch Allround Championships in speed skating were held at the Thialf ice stadium in Heerenveen, Netherlands on 27 and 28 December 2008. The championships were part of the 2008–09 speed skating season.
KNSB Dutch Allround Championships | |||||||||||||
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Venue | Thialf, Heerenveen | ||||||||||||
Dates | 27 and 28 December 2008 | ||||||||||||
Medalist men | |||||||||||||
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Medalist women | |||||||||||||
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The men's and women's winners, Ireen Wüst and Sven Kramer both prolonged their title.
Schedule
Schedule | ||
Date | Distances | |
Saturday 27 December 2008 | Women's 500 meter Men's 500 meter Women's 3000 meter Men's 5000 meter | |
Sunday 28 December 2008 | Women's 1500 meter Men's 1500 meter Women's 5000 meter Men's 10000 meter |
Medalists
Allround
Distance | Gold | Silver | Bronze | |||
---|---|---|---|---|---|---|
Men's allround | Sven Kramer | 149.397 | Wouter olde Heuvel | 152.356 | Carl Verheijen | 153.340 |
Women's allround | Ireen Wüst | 164.614 | Elma de Vries | 165.437 | Paulien van Deutekom | 165.668 |
Distance
Distance | Gold | Silver | Bronze | |||
---|---|---|---|---|---|---|
Men's 500 m | Erben Wennemars | 35.82 | Rhian Ket | 36.65 | Sven Kramer | 36.73 |
Men's 1500 m | Sven Kramer | 1:47.34 | Rhian Ket | 1:47.99 | Erben Wennemars | 1:48.00 |
Men's 5000 m | Sven Kramer | 6:16.77 | Wouter olde Heuvel | 6:23.77 | Bob de Jong | 6:24.25 |
Men's 10000 m | Sven Kramer | 13:04.21 | Bob de Jong | 13:11.25 | Carl Verheijen | 13:27.47 |
Women's 500 m | Ireen Wüst | 40.05 | Marrit Leenstra | 40.07 | Jorien Voorhuis | 40.35 |
Women's 1500 m | Ireen Wüst | 1:59.23 | Elma de Vries | 1:59.48 | Renate Groenewold | 1:59.61 |
Women's 3000 m | Renate Groenewold | 4:06.92 | Paulien van Deutekom | 4:09.51 | Ireen Wüst | 4:09.68 |
Women's 5000 m | Ireen Wüst | 7:12.08 | Jorien Voorhuis | 7:12.71 | Paulien van Deutekom | 7:12.77 |
Men's results
Place | Athlete | 500 m | 5000 m | 1500 m | 10000 m | Points |
---|---|---|---|---|---|---|
Sven Kramer | 36.73 (3) | 6:16.77 (1) | 1:47.34 (1) | 13:04.21 (1) | 149.397 | |
Wouter olde Heuvel | 37.36 (12) | 6:23.77 (2) | 1:48.69 (5) | 13:27.78 (4) | 152.356 | |
Carl Verheijen | 37.91 (19) | 6:25.87 (4) | 1:49.41 (7) | 13:27.47 (3) | 153.340 | |
4 | Koen Verweij | 37.13 (7) | 6:33.09 (6) | 1:48.59 (4) | 13:34.46 (5) | 153.358 |
5 | Erben Wennemars | 35.82 (1) | 6:39.93 (14) | 1:48.00 (3) | 13:54.14 (8) | 153.520 |
6 | Ben Jongejan | 37.35 (11) | 6:31.43 (5) | 1:48.78 (6) | 13:40.33 (6) | 153.769 |
7 | Bob de Jong | 39.05 (24) | 6:24.25 (3) | 1:51.48 (19) | 13:11.25 (2) | 154.197 |
8 | Jan Blokhuijsen | 36.93 (5) | 6:37.95 (10) | 1:50.28 (14) | 13:56.43 (9) | 155.306 |
9 | Frank Vreugdenhil | 37.79 (18) | 6:35.30 (8) | 1:50.11 (13) | 13:59.38 (10) | 155.992 |
10 | Boris Kusmirak | 38.64 (23) | 6:37.64 (9) | 1:50.50 (16) | 13:50.90 (7) | 156.782 |
11 | Michael Kaatee | 37.18 (9) | 6:45.82 (17) | 1:49.68 (9) | 14:17.18 (11) | 157.181 |
NC12 | Renz Rotteveel | 37.67 (17) | 6:34.60 (7) | 1:49.47 (8) | DQ | 113.620 |
NC13 | Rhian Ket | 36.65 (2) | 6:51.72 (24) | 1:47.99 (2) | WDR | 113.818 |
NC14 | Pim Cazemier | 37.57 (13) | 6:39.74 (13) | 1:50.70 (17) | - | 114.444 |
NC15 | Berden de Vries | 36.92 (4) | 6:49.55 (22) | 1:49.78 (10) | - | 114.468 |
NC16 | Tim Roelofsen | 36.97 (6) | 6:50.51 (23) | 1:49.86 (12) | - | 114.641 |
NC17 | Tom Schuit | 37.95 (21) | 6:41.88 (15) | 1:50.30 (15) | - | 114.904 |
NC18 | Elwin Hulsink | 37.62 (16) | 6:46.96 (18) | 1:49.84 (11) | - | 114.929 |
NC19 | Demian Roelofs | 37.14 (8) | 6:48.76 (20) | 1:51.29 (18) | - | 115.112 |
NC20 | Joost Kool | 37.92 (20) | 6:39.60 (12) | 1:52.41 (22) | - | 115.350 |
NC21 | Robbert de Rijk | 37.58 (14) | 6:49.47 (21) | 1:51.54 (20) | - | 115.707 |
NC22 | Rienk Nauta | 37.59 (15) | 6:47.85 (19) | 1:52.06 (21) | - | 115.728 |
DQ3 | Tom Prinsen | 37.31 (10) | 6:38.69 (11) | DQ | - | 77.179 |
DNS3 | Ted-Jan Bloemen | 38.35 (22) | 6:43.53 (16) | DNS | - | 78.703 |
Source men: Schaatsstatistieken.nl [1]
Women's results
Place | Athlete | 500 m | 3000 m | 1500 m | 5000 m | Points |
---|---|---|---|---|---|---|
Ireen Wüst | 40.05 (1) | 4:09.68 (3) | 1:59.23 (1) | 7:12.08 (1) | 164.614 | |
Elma de Vries | 40.41 (4) | 4:10.04 (4) | 1:59.48 (2) | 7:15.28 (4) | 165.437 | |
Paulien van Deutekom | 40.51 (5) | 4:09.51 (2) | 2:00.89 (5) | 7:12.77 (3) | 165.668 | |
4 | Jorien Voorhuis | 40.35 (3) | 4:11.69 (6) | 2:01.31 (6) | 7:12.71 (2) | 166.005 |
5 | Marrit Leenstra | 40.07 (2) | 4:11.15 (5) | 2:00.11 (4) | 7:30.08 (7) | 166.972 |
6 | Lisette van der Geest | 40.86 (9) | 4:14.24 (8) | 2:01.46 (7) | 7:19.08 (5) | 167.627 |
7 | Wieteke Cramer | 40.83 (7) | 4:18.26 (13) | 2:01.92 (10) | 7:30.34 (8) | 169.547 |
8 | Annouk van der Weijden | 41.10 (14) | 4:16.62 (9) | 2:03.37 (16) | 7:26.42 (6) | 169.635 |
9 | Yvonne Nauta | 41.30 (16) | 4:16.79 (10) | 2:01.90 (9) | 7:31.28 (9) | 169.859 |
10 | Renate Groenewold | 40.81 (6) | 4:06.92 (1) | 1:59.61 (3) | DQ | 121.833 |
NC11 | Janneke Ensing | 41.30 (16) | 4:17.33 (12) | 2:03.01 (14) | - | 125.191 |
NC12 | Maren van Spronsen | 41.09 (13) | 4:22.19 (16) | 2:01.85 (8) | - | 125.404 |
NC13 | Linda Bouwens | 41.49 (20) | 4:18.63 (14) | 2:02.63 (12) | - | 125.471 |
NC14 | Moniek Kleinsman | 41.29 (15) | 4:17.27 (11) | 2:04.15 (17) | - | 125.551 |
NC15 | Roxanne van Hemert | 40.89 (10) | 4:26.98 (21) | 2:02.01 (11) | - | 126.056 |
NC16 | Marije Joling | 41.30 (16) | 4:23.48 (18) | 2:02.88 (13) | - | 126.173 |
NC17 | Rixt Meijer | 41.50 (21) | 4:21.47 (15) | 2:04.43 (18) | - | 126.554 |
NC18 | Cindy Vergeer | 41.45 (19) | 4:23.16 (17) | 2:04.71 (19) | - | 126.880 |
NC19 | Linda de Vries | 41.67 (22) | 4:25.34 (19) | 2:03.09 (15) | - | 126.923 |
NC20 | Marit Dekker | 40.84 (8) | 4:27.06 (22) | 2:07.69 (20) | - | 127.913 |
NC21 | Diane Valkenburg | 41.08 (12) | 4:13.82 (7) | - | - | |
WDR3 | Sanne Delfgou | 40.96 (11) | 4:25.62 (20) | WDR | - | 85.230 |
Source women: Schaatsstatistieken.nl [2]
gollark: People that have iPhones: buy sensible phones.
gollark: Yes; it's *very hard* to go around editing the FS API such that other stuff isn't affected.
gollark: ```pythonfrom requests_futures.sessions import FuturesSessionimport concurrent.futures as futuresimport randomtry: import cPickle as pickleexcept ImportError: import pickletry: words_to_synonyms = pickle.load(open(".wtscache")) synonyms_to_words = pickle.load(open(".stwcache"))except: words_to_synonyms = {} synonyms_to_words = {}def add_to_key(d, k, v): d[k] = d.get(k, set()).union(set(v))def add_synonyms(syns, word): for syn in syns: add_to_key(synonyms_to_words, syn, [word]) add_to_key(words_to_synonyms, word, syns)def concat(list_of_lists): return sum(list_of_lists, [])def add_words(words): s = FuturesSession(max_workers=100) future_to_word = {s.get("https://api.datamuse.com/words", params={"ml": word}): word for word in words} future_to_word.update({s.get("https://api.datamuse.com/words", params={"ml": word, "v": "enwiki"}): word for word in words}) for future in futures.as_completed(future_to_word): word = future_to_word[future] try: data = future.result().json() except Exception as exc: print(f"{exc} fetching {word}") else: add_synonyms([w["word"] for w in data], word)def getattr_hook(obj, key): results = list(synonyms_to_words.get(key, set()).union(words_to_synonyms.get(key, set()))) if len(results) > 0: return obj.__getattribute__(random.choice(results)) else: raise AttributeError(f"Attribute {key} not found.")def wrap(obj): add_words(dir(obj)) obj.__getattr__ = lambda key: getattr_hook(obj, key)wrap(__builtins__)raise __builtins__.quibble()```
gollark: table.deepcopy, table.shallowcopy, table.slice, table.filter, table.map
gollark: Same with many other utility thingies.
References
- "NK allround men 2009". Schaatsstatistieken.nl. Retrieved 13 November 2012.
- "NK allround women 2009". Schaatsstatistieken.nl. Retrieved 13 November 2012.
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