⑫ ✓ ☆ Eduhzimm — CS2 Stats

76561199489802655[U:1:1529536927]✓ No bans

618Tracked matches64%Win rate2023Tracked since
1,257Hours in CS16Hrs last 2 wks
CSDB Rating3.7 LearningSupport
FaceitLevel 5 · 892 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GG⑫ ✓ ☆ EduhzimmFACEITLevel 5 · 892 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim31
Positioning34
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY60373Last 10060%Win rateWLWWLLWWLW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim3.1
Aggression2.6
Utility7.0
Positioning3.4
Opening Duels0.0
Clutch4.8

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

NiKo

Plays most like NiKo 72% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

Reaction time. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.1
Positioning3.4
Utility7.0
Mechanics3.0
Opening Duels0.0
Win Impact9.8

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time600ms−30ms
first ⅓ avg 631ms → last ⅓ avg 600ms
Headshot accuracy12.8%−1.0%
first ⅓ avg 13.8% → last ⅓ avg 12.8%

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

0.13Best rating — cache 12–12
131Biggest win — mirage
8Longest win streak
88In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 21mirageWeakest map · 47% over 19
MapGradePlayedRecordWin rateAvg rating
dust2A35221363%-0.01
infernoS2114767%-0.01
mirageB1991047%-0.01
ancientA106460%-0.03
anubisS64267%-0.05
cacheS64267%0.01
overpass31233%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,453Lifetime kills
0.77K/D
1,634Matches
49.4%Match win rate · Top 25% of tracked players
38.0%Headshot %
0.5%Shot accuracy
2,426MVPs
664Hours (in match)
1,818Bombs planted
484Bombs defused

Most-used weapons

Lifetime map wins

5,022dust2
3,973inferno
466vertigo
314nuke
113cbble
39train
7office
2ar_shoots

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

Faceit stats

Combat

67Matches
57%Win rate
0.98Avg K/D
64.4ADR
45%Headshot %

Clutches & streaks

44%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust22157%1.0311.7
Mirage1553%0.9813.6
Inferno1369%1.2112.2
Ancient667%0.9511.5
Anubis540%0.626.6
Overpass333%0.578.7
Nuke250%0.9211.0
Train1100%0.9416.0

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.

13.3%Headshot accuracy
28.0%Accuracy (enemy spotted)
28.9%Spray accuracy
63.3%Counter-strafing
10.4°Preaim
600msReaction time
23.4%T opening success
24.3%CT opening success
0.69Enemies flashed / flash
7.6%Flash assists
7.95HE damage / grenade
14.67Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.349% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 23.4229% — below the 40% mark we flag

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.

47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno19–16-0.027%28 Aug
ancient6–13-0.0416%27 Aug
inferno13–50.0213%27 Aug
anubis13–9-0.0718%25 Aug
inferno12–16-0.0720%24 Aug
dust211–13-0.0219%21 Aug
inferno13–8-0.0317%21 Aug
dust213–9-0.0416%21 Aug
mirage11–13-0.090%21 Aug
dust213–11-0.017%20 Aug
inferno13–30.0213%19 Aug
dust213–30.038%19 Aug
dust213–70.0212%19 Aug
dust213–10-0.0320%18 Aug
dust213–7-0.0511%18 Aug
cache13–4-0.0218%18 Aug
mirage13–1-0.014%17 Aug
dust212–16-0.0816%13 Aug
mirage5–13-0.0210%13 Aug
inferno12–12-0.0323%11 Aug
ancient13–90.0215%11 Aug
dust216–14-0.029%11 Aug
cache13–10-0.026%11 Aug
dust211–13-0.0821%11 Aug
inferno4–13-0.0411%11 Aug
ancient16–19-0.0514%10 Aug
anubis13–110.0615%7 Aug
dust213–6-0.0313%6 Aug
dust212–12-0.0510%6 Aug
ancient9–13-0.096%5 Aug
anubis6–13-0.109%5 Aug
mirage11–13-0.0119%5 Aug
mirage13–40.009%4 Aug
ancient13–11-0.0219%4 Aug
inferno13–60.0327%4 Aug
ancient13–4-0.0320%3 Aug
dust213–10-0.0123%2 Aug
dust213–90.0113%31 Jul
inferno13–10-0.056%31 Jul
mirage7–10-0.0214%31 Jul
dust213–20.0725%30 Jul
inferno13–10-0.042%29 Jul
ancient13–6-0.0124%29 Jul
dust213–30.0310%29 Jul
inferno13–60.0617%27 Jul
dust211–13-0.0719%27 Jul
dust25–130.0321%27 Jul
mirage6–130.019%23 Jul
mirage9–13-0.039%22 Jul
mirage8–130.0223%22 Jul
dust213–10.137%22 Jul
mirage13–2-0.0213%21 Jul
inferno11–13-0.0210%21 Jul
dust213–7-0.0119%20 Jul
cache12–120.1310%16 Jul
dust213–10.0416%16 Jul
cache13–20.005%16 Jul
cache5–13-0.0827%15 Jul
ancient13–2-0.0118%15 Jul
dust211–13-0.0617%15 Jul
dust213–11-0.0314%15 Jul
anubis13–3-0.0013%14 Jul
mirage4–13-0.037%9 Jul
inferno13–110.088%9 Jul
dust26–13-0.0422%8 Jul
mirage13–7-0.0211%7 Jul
dust213–30.0815%7 Jul
overpass10–130.0112%7 Jul
inferno13–6-0.018%6 Jul
ancient13–90.0410%6 Jul
mirage7–13-0.0112%6 Jul
dust213–10-0.017%4 Jul
cache13–80.0223%3 Jul
dust28–13-0.0624%2 Jul
mirage13–100.0328%2 Jul
ancient9–13-0.0714%2 Jul
anubis1–13-0.1412%2 Jul
mirage9–13-0.0618%30 Jun
inferno13–10.0720%27 Jun
dust28–13-0.0818%27 Jun
dust213–20.0219%23 Jun
anubis13–6-0.0412%23 Jun
mirage13–7-0.0915%23 Jun
dust213–70.0311%22 Jun
inferno13–40.0616%22 Jun
overpass13–4-0.0013%22 Jun
mirage13–110.0012%21 Jun
inferno6–13-0.0712%21 Jun
dust213–90.0815%18 Jun
inferno13–5-0.0111%17 Jun
inferno16–14-0.037%17 Jun
dust211–13-0.059%17 Jun
mirage16–120.0615%17 Jun
mirage13–40.0210%16 Jun
dust222–19-0.0116%16 Jun
inferno7–13-0.0414%15 Jun
dust21–13-0.089%15 Jun
dust24–13-0.077%13 Jun
overpass9–13-0.0910%13 Jun
inferno6–13-0.0617%13 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →