#58 Gaucho (26-13)

avg: 1289.19  •  sd: 47.23  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
72 Texas United Loss 10-12 947.26 Jun 29th Texas 2 Finger Mens and Womens
215 Messengers-B** Win 13-5 941.18 Ignored Jun 29th Texas 2 Finger Mens and Womens
147 Louisiana Second Line Win 13-5 1396.14 Jun 29th Texas 2 Finger Mens and Womens
40 Nitro Loss 9-11 1172.76 Jun 29th Texas 2 Finger Mens and Womens
150 Foxtrot Win 15-10 1231.55 Jun 30th Texas 2 Finger Mens and Womens
155 Supercell Win 15-5 1348.31 Jun 30th Texas 2 Finger Mens and Womens
106 Papa Bear Win 15-9 1535.44 Jun 30th Texas 2 Finger Mens and Womens
215 Messengers-B** Win 15-4 941.18 Ignored Jul 13th Riverside Classic 2019
179 E.V.I.L.** Win 15-6 1203.32 Ignored Jul 13th Riverside Classic 2019
72 Texas United Win 13-8 1681.54 Jul 13th Riverside Classic 2019
64 Gamble Win 15-10 1704.84 Jul 14th Riverside Classic 2019
79 Riverside Win 15-13 1365.35 Jul 14th Riverside Classic 2019
26 H.I.P Loss 7-15 983.07 Jul 14th Riverside Classic 2019
64 Gamble Win 13-7 1808.77 Jul 27th PBJ 2019
106 Papa Bear Win 13-10 1348.1 Jul 27th PBJ 2019
201 Alamode** Win 13-5 1051.91 Ignored Jul 27th PBJ 2019
179 E.V.I.L.** Win 13-3 1203.32 Ignored Jul 27th PBJ 2019
64 Gamble Win 15-12 1551.73 Jul 28th PBJ 2019
215 Messengers-B** Win 13-4 941.18 Ignored Jul 28th PBJ 2019
79 Riverside Loss 13-15 936.99 Jul 28th PBJ 2019
57 Cryptic Loss 11-12 1178.47 Aug 24th Indy Invite Club 2019
33 Nain Rouge Loss 6-13 878.8 Aug 24th Indy Invite Club 2019
81 Omen Win 13-9 1557.43 Aug 24th Indy Invite Club 2019
135 Enigma Win 15-8 1440.68 Aug 25th Indy Invite Club 2019
33 Nain Rouge Loss 5-15 878.8 Aug 25th Indy Invite Club 2019
57 Cryptic Loss 13-15 1089.29 Aug 25th Indy Invite Club 2019
159 DUPlex Win 13-9 1159.14 Sep 7th Texas Mens Club Sectional Championship 2019
179 E.V.I.L. Win 13-6 1203.32 Sep 7th Texas Mens Club Sectional Championship 2019
79 Riverside Loss 9-13 732.6 Sep 7th Texas Mens Club Sectional Championship 2019
106 Papa Bear Win 13-9 1438.53 Sep 7th Texas Mens Club Sectional Championship 2019
64 Gamble Loss 11-13 1022.4 Sep 8th Texas Mens Club Sectional Championship 2019
28 Clutch Win 12-10 1750.37 Sep 8th Texas Mens Club Sectional Championship 2019
28 Clutch Loss 8-13 1016.08 Sep 8th Texas Mens Club Sectional Championship 2019
138 Glycerine Win 13-9 1273.01 Sep 21st South Central Club Mens Regional Championship 2019
71 Dreadnought Win 13-10 1518.84 Sep 21st South Central Club Mens Regional Championship 2019
16 Johnny Bravo Loss 7-13 1232 Sep 21st South Central Club Mens Regional Championship 2019
79 Riverside Win 15-8 1715.98 Sep 21st South Central Club Mens Regional Championship 2019
64 Gamble Win 10-7 1640.9 Sep 22nd South Central Club Mens Regional Championship 2019
26 H.I.P Loss 3-13 983.07 Sep 22nd South Central Club Mens Regional Championship 2019
**Blowout Eligible

FAQ

The uncertainty of the mean is equal to the standard deviation of the set of game ratings, divided by the square root of the number of games. We treated a team’s ranking as a normally distributed random variable, with the USAU ranking as the mean and the uncertainty of the ranking as the standard deviation
  1. Calculate uncertainy for USAU ranking averge
  2. Model ranking as a normal distribution around USAU averge with standard deviation equal to uncertainty
  3. Simulate seasons by drawing a rank for each team from their distribution. Note the teams in the top 16 (club) or top 20 (college)
  4. Sum the fractions for each region for how often each of it's teams appeared in the top 16 (club) or top 20 (college)
  5. Subtract one from each fraction for "autobids"
  6. Award remainings bids to the regions with the highest remaining fraction, subtracting one from the fraction each time a bid is awarded
There is an article on Ulitworld written by Scott Dunham and I that gives a little more context (though it probably was the thing that linked you here)