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Limited Analysis: Draft Khans of Tarkir x3

This data was collected by parsing MTGO KTK release drafts and seeing what cards were played. The usual disclaimer on card Win% for sweepers, overrun effects and other conditional effects. Note the inclusion of Win% on the play is only for the first game of each match.

Commentary

See a full analysis here.

Summary

Games Analyzed
49,554
Last Updated
2014-10-22

Game Length

Average Turns
9.8
Average Lands Played
6.9

Play or Draw?

Win % on the Play
50.3%
Win % on the Draw
49.7%

Mulligans

Mulligan to 6 5 4 3
Win % Average 37.60% 21.80% 10.30% 0.00%
Win % on the Play 35.50% 19.10% 9.50% 0.00%
Win % on the Draw 39.80% 24.90% 11.20% 0.00%
Games 15,006 2,794 389 34

Win Percentage by Color

51.7%
50.6%
51.1%
51.2%
50.7%

Top Cards

Card Cost Games Likely Win %
1 Flying Crane Technique 737 80.00%
2 Armament Corps 3076 76.00%
3 Wingmate Roc 782 73.00%
4 Duneblast 975 69.00%
5 Kheru Spellsnatcher 576 69.00%

Top Commons

Card Cost Games Likely Win %
1 Rush of Battle 3435 66.00%
2 Trumpet Blast 2844 66.00%
3 Efreet Weaponmaster 3126 63.00%
4 Woolly Loxodon 4021 63.00%
5 Snowhorn Rider 3603 62.00%

Top Uncommons

Card Cost Games Likely Win %
1 Armament Corps 3076 76.00%
2 Roar of Challenge 1026 69.00%
3 Incremental Growth 2106 68.00%
4 Ride Down 2082 67.00%
5 Become Immense 1650 65.00%
See All Card Stats >>

Archetypes

Colors Win % Field % Games
55.00% 20.20% 14,823
54.60% 7.20% 5,270
53.90% 9.80% 7,194
53.20% 15.10% 11,106
52.80% 19.50% 14,362
52.30% 11.50% 8,424
51.90% 5.30% 3,859
51.90% 4.50% 3,329
50.80% 4.00% 2,927
50.50% 4.20% 3,059
50.20% 12.50% 9,172
42.30% 3.50% 2,591
41.80% 2.40% 1,774
41.70% 3.30% 2,394
38.20% 0.70% 536
36.60% 0.90% 692
34.30% 0.60% 408
32.80% 0.60% 421
32.80% 1.60% 1,203
31.80% 1.10% 826
31.70% 0.40% 300
30.90% 0.30% 220
30.50% 1.10% 803
28.60% 1.60% 1,210
24.70% 1.20% 854
22.10% 0.60% 434
14.60% 0.30% 205
14.50% 0.30% 207
10.60% 0.30% 207
7.70% 0.20% 156
4.90% 0.20% 142

* This is derived from replay data of drafts. This has the limitation of only seeing cards in play (you cannot see cards in hand in replays). This means there is a bias for expensive impactful cards. For example, Boulderfall is a very expensive () and impactful card. When you do play it, you will probably win the game (as evidenced by the high win percentage). However, we cannot see all the games where it was stranded in your hand and it cost you the game. Thus the data is a bit biased towards expensive, impactful cards.