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Browse > Home / Strategy / Draft Statistics / Magic Origins x3
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Limited Analysis: Draft Magic Origins x3

This data was collected by parsing Magic Online release drafts and seeing what cards were played. The usual disclaimer on card Win% for sweepers, overrun effects and other conditional effects. Note Win% on the Play/Draw is calculated with only the first game of each match. You can read the full analysis of this data in 58K Games of Magic Origins Limited Analyzed.

Summary

Games Analyzed
58,328
Last Updated
2015-08-09

Game Length

Average Turns
9.1
Average Lands Played
6.2

Play or Draw?

Win % on the Play
51.1%
Win % on the Draw
48.9%

Mulligans

Mulligan to 6 5 4
Win % Average 37.30% 23.90% 11.60%
Win % on the Play 34.50% 20.00% 10.40%
Win % on the Draw 40.30% 28.40% 13.20%
Games 17,594 3,268 423

Win Percentage by Color

50.2%
50.6%
50.1%
50.7%
51.4%

Top Cards

Card Cost Games Likely Win %
1 Whirler Rogue 5571 66.40%
2 Chandra's Ignition 1269 66.30%
3 Pia and Kiran Nalaar 1968 64.70%
4 Psychic Rebuttal 14 64.20%
5 Managorger Hydra 2583 63.60%

Top Commons

Card Cost Games Likely Win %
1 Kytheon's Tactics 2342 63.30%
2 Act of Treason 5623 61.30%
3 Bone to Ash 2303 61.10%
4 Might of the Masses 6636 59.90%
5 Titanic Growth 8093 58.70%

Top Uncommons

Card Cost Games Likely Win %
1 Whirler Rogue 5571 66.40%
2 Psychic Rebuttal 14 64.20%
3 Blazing Hellhound 3162 60.60%
4 Reclusive Artificer 2131 60.50%
5 Bounding Krasis 2870 60.30%
See All Card Stats >>

Archetypes

Colors Win % Field % Games
54.20% 8.80% 10,268
53.60% 6.20% 7,225
52.40% 11.30% 13,189
52.00% 8.30% 9,733
52.00% 9.40% 10,985
51.60% 10.20% 11,873
51.30% 7.90% 9,197
51.10% 10.30% 12,045
50.40% 0.80% 943
49.80% 7.10% 8,234
49.60% 0.70% 816
49.10% 8.00% 9,377
48.80% 0.40% 428
48.50% 0.60% 693
48.30% 0.50% 605
47.30% 0.60% 647
47.10% 0.80% 933
46.90% 0.70% 774
45.10% 0.50% 532
44.30% 0.60% 695
36.70% 1.90% 2,204
28.00% 1.20% 1,347
25.90% 1.40% 1,587
23.10% 1.10% 1,276
18.30% 0.80% 923

* 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.

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