Anatude

Anatude — CS2 Stats

FI76561198377926109[U:1:417660381]Steam profile ↗✓ No bans

648Tracked matches72%Win rate2020Tracked since
2,189Hours in CS18Hrs last 2 wks
CSDB Rating7.0 StrongAggressive Rifler
Premier CS Rating19,211Purple band · top ~11.6% of ranked players (population est.)
CSDB Leaderboard#6863 of 13810 tracked
FaceitLevel 7 · 1,402 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGAnatudeFACEITLevel 7 · 1,402 ELOSTANDINGTop 42.3% of rankedPREMIER19,211 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning69
Utility54

0–100 skill scores via Leetify.

Recent form

HOT52444Last 10052%Win rateLWWLWWLWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression10.0
Utility5.4
Positioning6.9
Opening Duels5.3
Clutch3.6

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

sh1ro

Plays most like sh1ro 94% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.9
Positioning6.9
Utility5.4
Mechanics5.9
Opening Duels5.3
Win Impact10.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time479ms−63ms
first ⅓ avg 542ms → last ⅓ avg 479ms
Headshot accuracy20.0%+3.0%
first ⅓ avg 17.0% → last ⅓ avg 20.0%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.15Best rating — dust2 13–4
131Biggest win — anubis
9Longest win streak
67In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 61% over 23mirageWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
ancientA2314961%-0.00
nukeA2112957%0.01
infernoB179853%0.01
mirageC114736%0.01
cacheB115645%0.03
dust2C94544%0.06
anubis42250%0.02
overpass32167%-0.00
vertigo1010%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,813Lifetime kills
1.09K/D · Top 50% of tracked players
2,725Matches
49.4%Match win rate · Top 25% of tracked players
41.7%Headshot %
11.5%Shot accuracy
8,303MVPs
1,068Hours (in match)
3,366Bombs planted
645Bombs defused

Most-used weapons

AK-4714,508
AWP9,408
P2501,143
SSG 081,097
Knife807
P90687

Lifetime map wins

2,345dust2
2,196nuke
2,054inferno
1,271vertigo
1,037cbble
577train
302lake
47office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

274Matches
51%Win rate
1.15Avg K/D
82.2ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient6752%1.1715.3
Mirage5848%1.1115.1
Nuke5760%1.1317.7
Dust21926%0.9916.1
Train1747%1.1216.8
Inferno1650%1.0616.0
Cache1173%1.3719.0
Anubis1040%1.2418.3

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.4%Headshot accuracy
34.8%Accuracy (enemy spotted)
34.6%Spray accuracy
76.4%Counter-strafing
8.7°Preaim
479msReaction time
40.2%T opening success
62.5%CT opening success
0.51Enemies flashed / flash
2.8%Flash assists
8.34HE damage / grenade
11.71Flashes / match

Recommended for you

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–130.0114%25 Aug
mirage13–50.0316%25 Aug
ancient13–100.0213%25 Aug
nuke2–13-0.0913%25 Aug
inferno13–70.0129%25 Aug
ancient13–4-0.070%25 Aug
cache9–130.0718%25 Aug
cache13–70.0213%23 Aug
nuke13–7-0.0429%23 Aug
nuke13–70.0525%23 Aug
nuke8–13-0.029%23 Aug
ancient13–9-0.0713%23 Aug
nuke11–130.0324%23 Aug
ancient13–60.0111%23 Aug
dust215–150.0117%23 Aug
inferno13–16-0.0021%23 Aug
ancient13–6-0.0423%23 Aug
inferno13–11-0.0320%21 Aug
cache13–60.0317%21 Aug
nuke13–50.0319%21 Aug
anubis13–10.0218%21 Aug
mirage13–90.1129%21 Aug
nuke13–70.0820%21 Aug
nuke13–110.0626%21 Aug
ancient13–40.1026%21 Aug
cache3–130.0237%21 Aug
inferno10–130.0616%21 Aug
nuke13–40.0313%21 Aug
cache13–60.0526%14 Aug
ancient13–90.1225%14 Aug
dust23–130.0426%14 Aug
inferno5–13-0.0433%14 Aug
dust28–13-0.0722%13 Aug
mirage13–40.0426%13 Aug
inferno10–13-0.0429%13 Aug
mirage13–9-0.0133%13 Aug
inferno13–80.0522%7 Aug
dust211–130.0426%7 Aug
dust213–70.0828%7 Aug
inferno6–13-0.0618%18 Jul
mirage8–13-0.0124%18 Jul
nuke13–50.0437%18 Jul
dust213–30.1454%18 Jul
nuke12–160.0329%18 Jul
nuke2–130.0222%18 Jul
cache14–160.1333%16 Jul
anubis13–20.0632%16 Jul
cache8–13-0.0417%16 Jul
nuke9–130.0118%15 Jul
cache13–70.0517%15 Jul
inferno4–13-0.0619%15 Jul
mirage9–13-0.0224%15 Jul
cache13–50.0313%15 Jul
mirage13–16-0.0116%14 Jul
ancient6–13-0.0220%14 Jul
ancient13–11-0.027%14 Jul
inferno13–30.0226%13 Jul
nuke13–20.1021%13 Jul
cache2–13-0.0326%12 Jul
ancient11–130.0021%12 Jul
dust213–40.1524%12 Jul
ancient13–60.0711%12 Jul
ancient9–13-0.0020%12 Jul
mirage9–130.0222%12 Jul
mirage13–16-0.0114%10 Jul
ancient16–14-0.049%6 Jul
ancient3–13-0.170%5 Jul
mirage9–130.0324%5 Jul
ancient13–50.1139%5 Jul
nuke8–13-0.0430%3 Jul
nuke13–100.0319%3 Jul
ancient1–13-0.1214%26 Jun
inferno13–70.0314%26 Jun
ancient7–130.0230%26 Jun
inferno13–70.0126%21 Jun
nuke13–110.0113%21 Jun
overpass13–40.0714%21 Jun
nuke6–13-0.090%20 Jun
inferno13–20.0813%20 Jun
nuke13–70.0115%20 Jun
ancient13–8-0.0223%20 Jun
nuke13–11-0.018%18 Jun
overpass13–6-0.0315%18 Jun
ancient15–15-0.057%18 Jun
nuke10–130.0024%18 Jun
dust213–60.0827%18 Jun
dust215–150.0330%18 Jun
ancient13–7-0.0113%17 Jun
anubis8–130.0016%17 Jun
ancient14–16-0.0412%16 Jun
overpass14–16-0.0510%16 Jun
inferno13–30.0112%16 Jun
anubis15–15-0.0115%2 Jun
ancient13–50.0919%2 Jun
vertigo11–13-0.0114%27 May
cache7–13-0.0216%26 May
ancient7–130.0317%26 May
mirage5–13-0.0417%26 May
inferno9–13-0.0210%24 May
inferno16–120.066%24 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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