Published: https://www.reddit.com/r/DotA2/comments/8fguto/divine_5_meta_trends_713b_edition/
Just a small note before the report. Our team of Spectral Alliance is coming to EPICENTER XL. If you are interested in our reports and toolset, what we are doing or just talk - look around for guys in “Spectral Alliance” hoodies (there will be our logos and nicknames on our backs: Leamare, Mio and Olej). You can also write a PM to me directly or contact us on our Discord server.
This data is based on Divine 5 Ranked Trends report for patches 7.13 and 7.13b. It includes most of 7.13 ranked matches that were played on Divine 5 rank in patches 7.13 and 7.13b (except ones that had abandons, ended in less than 10 minutes or had insignificantly low score).
Some matches may be missing because of missing replays. Replays of 597 matches were missing on dota servers. I skipped those matches since additional analysis of replays is required to get most of data.
It doesn’t include Battle Cup matches, but let me know if you’re interested in Battle Cup meta trends. Maybe I’ll be able to grab those matches as well.
Positions data may be inaccurate in some way (mostly so that very bad core games are counted as support while supports who had high stats and didn’t spent much on support items may be considered core), but it’s most likely to be insignificant.
Full report is available here. You can look through data by yourself if you want, maybe you’ll find something interesting as well. There are more detailed data about Hero VS Hero performance, Draft stages priorities, pairs and trios, positions stats and dire/radiant winrates.
Short FAQ
- Why so little matches played in REGION NAME? On higher ranks it’s common to queue for game on closest popular region. I.e. EUW for RU players, USE for USW.
- Where did you get data? I’ve got match IDs from OpenDota explorer and requested information for every each of those. Report is generated with my LRG tool.
- What criteria are used? Average rank for every game should be at least 75 (Divine 5 and higher). That’s all.
- Why there are no CM matches? Why there are only this amount of players? CM inreases queue time because nobody plays CM. There aren’t much players so every small thing affects queue time drastically.
- Why there are only random draft matches played in China? They just like playing random draft ever since DotA All-Stars days.
- What does banned winrate mean? It’s winrate of a player (and his team) who nominated a hero for ban.
- Can I see individual players stats somewhere? Techically - yes. But there are too much players, reports are getting too big and unreadable because of that.
Summary
- Matches total: 2930
- Missing replays: 392
- Individual players in matches: 10004
- Radiant winrate: 53.41%
- Average match duration: 35:31
Game Modes
- All Draft: 84.43% (2327)
- Random Draft: 15.57% (603)
Regions
- Europe West: 1153
- China: 604
- Southeast Asia: 564
- US East: 425
- Europe East: 62
- Russia: 41
- South America: 39
- Australia: 33
- US West: 9
Players
You won’t be able to find it in report. It’s only available in my local database. There are too many players and personal information to include it in reports.
Most matches
- 成长: 20 matches (50% wr)
- event manager: 19 matches (36.84% wr)
- Do you like 玩游戏？: 18 matches (50% wr)
- acarus: 18 matches (61.11% wr)
- 隱匿: 18 matches (61.11% wr)
Heroes
Most Contested Heroes
- Outworld Devourer: 1132 matches - 924 picked (52.92% wr) - 208 banned (50.00% wr)
- Tusk: 1090 matches - 918 picked (48.47% wr) - 172 banned (51.74% wr)
- Shadow Fiend: 979 matches - 796 picked (45.10% wr) - 183 banned (42.62% wr)
- Terrorblade: 964 matches - 790 picked (55.70% wr) - 174 banned (52.30% wr)
- Bounty Hunter: 911 matches - 738 picked (52.71% wr) - 173 banned (50.29% wr)
- Rubick: 901 matches - 749 picked (45.66% wr) - 152 banned (50.66% wr)
- Dark Willow: 874 matches - 723 picked (50.62% wr) - 151 banned (52.32% wr)
- Sand King: 861 matches - 700 picked (50.71% wr) - 161 banned (44.72% wr)
- Faceless Void: 793 matches - 679 picked (53.61% wr) - 114 banned (50.88% wr)
- Pudge: 697 matches - 586 picked (49.83% wr) - 111 banned (52.25% wr)
Most Picked Heroes
- Outworld Devourer: 924 (52.92% wr)
- Tusk: 918 (48.47% wr)
- Shadow Fiend: 796 (45.10% wr)
- Terrorblade: 790 (55.70% wr)
- Rubick: 749 (45.66% wr)
Most Banned Heroes
- Outworld Devourer: 208 (50.00% wr)
- Shadow Fiend: 183 (42.62% wr)
- Terrorblade: 174 (52.30% wr)
- Bounty Hunter: 173 (50.29% wr)
- Tusk: 172 (51.74% wr)
Pick Stages
Stage 1 of Picks (first two picks)
- Bounty Hunter: 390 (53.33% wr)
- Tusk: 359 (49.58% wr)
- Dark Willow: 332 (49.10% wr)
- Riki: 235 (48.51% wr)
- Pudge: 232 (48.71% wr)
Stage 3 of Picks (last pick)
- Outworld Devourer: 681 (51.84% wr)
- Faceless Void: 496 (55.85% wr)
- Shadow Fiend: 493 (45.64% wr)
- Terrorblade: 457 (57.11% wr)
- Juggernaut: 433 (46.19% wr)
Favorite Pairs
- Outworld Devourer + Tusk: 147 (50.34%)
- Shadow Fiend + Tusk: 138 (42.03%)
- Outworld Devourer + Rubick: 131 (49.62%)
- Bounty Hunter + Outworld Devourer: 120 (65.00%)
- Faceless Void + Outworld Devourer: 119 (60.50%)
Highest Hero Averages
This section contains highest average values among heroes. Minimum amount of matches was limited to include only meaningful data.
- Kills: Slark (10.98), Morphling (10.91), Clinkz (10.89)
- Least Deaths: Lifestealer (4.16), Lone Druid (4.42), Phantom Lancer (4.49)
- Most Deaths: Shadow Shaman (9.52), Pudge (9.19), Axe (8.83)
- Assists: Spirit Breaker (20.14), Ancient Apparition (19.41), Bounty Hunter (18.85)
- KDA: Lifestealer (4.47), Faceless Void (4.41), Phantom Lancer (4.25)
- GPM: Luna (626), Templar Assassin (624), Troll Warlord (620)
- XPM: Templar Assassin (663), Troll Warlord (652), Shadow Fiend (645)
- Last Hits per minute: Luna (8.89), Troll Warlord (8.32), Terrorblade (8.28)
- Creeps Denied: Morphling (28.76), Lifestealer (23.57), Enigma (23.43)
- Stuns: Lion (105.05), Spirit Breaker (103.91), Dark Willow (102.86)
- Neutral Camps Stacked: Tinker (2.73), Io (2.47), Elder Titan (2.25)
- Courier Kills: Bounty Hunter (0.78), Nature’s Prophet (0.36), Riki (0.31)
- Roshan kills with team: Huskar (1.83), Troll Warlord (1.67), Templar Assassin (1.60)
- Hero Damage per minute: Tinker (1,005.54), Zeus (968.76), Bristleback (719.09)
- Tower Damage per minute: Lone Druid (219.73), Terrorblade (209.12), Troll Warlord (207.02)
- Taken Damage per minute: Dragon Knight (751.97), Timbersaw (741.02), Wraith King (725.97)
- Heal per minute: Io (256.0), Oracle (199.43), Warlock (170.04)
Hero positions
Most popular
Core Safelane
- Terrorblade: 737 (55.77% wr)
- Faceless Void: 543 (55.43% wr)
- Juggernaut: 532 (46.05% wr)
- Lifestealer: 455 (45.05% wr)
- Phantom Lancer: 423 (55.79% wr)
Core Midlane
- Shadow Fiend: 784 (45.15% wr)
- Outworld Devourer: 775 (53.42% wr)
- Tinker: 410 (50.00% wr)
- Lina: 378 (43.39% wr)
- Queen of Pain: 362 (53.31% wr)
Core Offlane
- Pangolier: 405 (49.63% wr)
- Doom: 404 (56.44% wr)
- Underlord: 384 (54.95% wr)
- Tiny: 337 (47.48% wr)
- Omniknight: 288 (54.17% wr)
Support
- Tusk: 816 (45.47% wr)
- Rubick: 710 (44.79% wr)
- Bounty Hunter: 706 (51.42% wr)
- Dark Willow: 606 (49.67% wr)
offlane DW now has 10% of matches (40% back then and 25% in prev patch) and 61.84% winrate - Disruptor: 585 (48.89% wr)
Core Jungle
- Wraith King: 37 (48.65% wr)
- Nature’s Prophet: 8 (87.50% wr)
- Io: 4 (50% wr)
- Chen: 3 (33.33% wr)
- Troll Warlord: 3 (33.33% wr)
Notable facts
- There’s a huge match number drop on April the 21st: only 39 matches. I’m not sure why tho.
- Outworld Devourer grows to be number 1 hero in 7.13. Even all hero combos were overtaken by him.
- Techies was picked only 43 times. He wasn’t least popular tho: Necrophos was picked only 22 times.
Previous report for patch 7.12: https://www.reddit.com/r/DotA2/comments/8c6ktk/divine_5_meta_trends_712_edition/
I’d like to thank you for your feedback. It allowed me to make my tool way fancier and useful. I’d also like to thank /u/BirdieNZ for his “meaningful pairs” formula. I didn’t have much time recently, but I have it working on staging version.
And thanks to OpenDota and STRATZ for providing awesome APIs to grab all juicy match analysis data and generate stats for all the matches.