teknikal — CS2 Stats

76561197960292574[U:1:26846]

2,591Tracked matches50%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating25,979Top 25% of 819 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#1107 of 9480 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGteknikalPREMIER25,979 · Red bandcsdb.gg/stats

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Performance scores

Aim75
Positioning45
Utility76

0–100 skill scores via Leetify.

Recent form

HOT47503Last 10047%Win rateWLWWLWLWWW

Last 10 vs previous 10: +60pp win rate · +0.01 avg rating

Player DNA

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

Aim7.5
Aggression4.2
Utility7.6
Positioning4.5
Opening Duels1.1
Clutch3.0

Effective flashesHigh utility contribution

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 88% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Reaction time. 576ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.5
Positioning4.5
Utility7.6
Mechanics6.4
Opening Duels1.4
Win Impact5.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time573ms−2ms
first ⅓ avg 575ms → last ⅓ avg 573ms
Headshot accuracy20.3%+1.9%
first ⅓ avg 18.4% → last ⅓ avg 20.3%

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

0.18Best rating — anubis 13–2
132Biggest win — anubis
4Longest win streak
78In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 71% over 7dust2Weakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
mirageB26121446%-0.01
dust2D2171433%-0.01
infernoC1971237%-0.00
nukeA106460%0.04
anubisS75271%0.03
cacheS75271%-0.02
overpassB63350%-0.00
ancient32167%-0.01
vertigo1010%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,160Matches
51%Win rate
1.04Avg K/D
78.4ADR
48%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis19258%1.1016.2
Inferno18651%1.0215.4
Nuke17059%1.1917.0
Dust215753%1.0716.1
Mirage12145%0.8914.4
Ancient7434%0.9016.1
Vertigo4436%0.9314.6
Train3644%0.9714.0

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.

20.1%Headshot accuracy
37.1%Accuracy (enemy spotted)
38.2%Spray accuracy
78.8%Counter-strafing
10.2°Preaim
576msReaction time
27.7%T opening success
41.2%CT opening success
0.79Enemies flashed / flash
8.8%Flash assists
7.55HE damage / grenade
22.11Flashes / 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. 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 27.737% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–20.0520%28 Aug
dust28–13-0.0121%26 Aug
dust213–10-0.0213%21 Aug
dust213–60.0418%19 Aug
nuke11–130.0128%19 Aug
inferno13–7-0.0116%16 Aug
cache9–13-0.0420%16 Aug
anubis16–13-0.0014%16 Aug
dust213–6-0.0319%16 Aug
cache13–6-0.0223%14 Aug
inferno7–13-0.0716%12 Aug
mirage7–13-0.0220%12 Aug
ancient13–90.0133%8 Aug
dust26–13-0.0414%7 Aug
dust215–150.0113%7 Aug
mirage9–130.0023%5 Aug
mirage1–13-0.0727%5 Aug
inferno5–130.0324%1 Aug
vertigo0–13-0.0126%1 Aug
mirage4–13-0.0113%31 Jul
mirage13–11-0.0121%31 Jul
cache13–11-0.0316%29 Jul
inferno14–16-0.0424%29 Jul
mirage15–150.0122%24 Jul
dust26–13-0.0416%22 Jul
cache13–50.0030%22 Jul
inferno13–50.0320%17 Jul
mirage13–100.0524%17 Jul
cache13–50.0220%17 Jul
mirage3–13-0.1014%15 Jul
mirage13–20.1023%15 Jul
dust213–7-0.0322%10 Jul
cache13–16-0.0419%10 Jul
cache13–4-0.0321%8 Jul
inferno11–130.0326%4 Jul
dust211–130.0518%4 Jul
anubis13–100.0117%3 Jul
mirage13–10-0.0021%1 Jul
mirage13–9-0.0225%1 Jul
inferno10–13-0.0217%1 Jul
dust211–13-0.0619%28 Jun
inferno13–10-0.0213%27 Jun
inferno13–40.0419%26 Jun
mirage7–13-0.0014%26 Jun
nuke10–13-0.0714%26 Jun
nuke13–50.1118%24 Jun
mirage9–130.0430%24 Jun
mirage13–110.0116%21 Jun
anubis13–20.1817%21 Jun
dust24–130.0134%21 Jun
mirage14–16-0.0614%20 Jun
overpass13–8-0.0116%20 Jun
mirage13–6-0.0517%20 Jun
overpass15–15-0.0317%10 Jun
inferno3–13-0.0513%10 Jun
mirage13–10-0.0513%10 Jun
anubis9–13-0.0618%25 May
mirage13–8-0.0012%22 May
dust213–11-0.0314%20 May
dust25–13-0.0129%15 May
mirage13–9-0.0417%13 May
inferno9–130.0027%8 May
dust23–13-0.0325%6 May
dust213–5-0.069%1 May
mirage14–16-0.0114%29 Apr
anubis16–14-0.0114%25 Apr
mirage13–16-0.0719%24 Apr
overpass13–40.066%22 Apr
inferno6–13-0.0816%17 Apr
nuke13–60.0219%15 Apr
inferno9–20.0517%15 Apr
anubis7–130.0224%12 Apr
dust29–130.0013%12 Apr
mirage13–9-0.0230%10 Apr
overpass13–70.0422%8 Apr
inferno13–110.0418%7 Apr
nuke7–130.0513%7 Apr
inferno1–130.0521%3 Apr
mirage6–13-0.0312%3 Apr
dust213–60.0817%3 Apr
nuke13–70.1325%1 Apr
mirage8–13-0.0214%1 Apr
mirage11–130.0220%1 Apr
inferno7–13-0.0622%30 Mar
inferno3–13-0.0511%29 Mar
nuke13–30.0917%29 Mar
ancient10–13-0.0116%28 Mar
dust29–13-0.0114%28 Mar
nuke13–40.0221%28 Mar
inferno9–130.0328%28 Mar
dust213–16-0.0317%28 Mar
nuke4–13-0.0218%28 Mar
ancient13–11-0.0414%25 Mar
mirage13–100.0411%25 Mar
overpass9–130.0127%25 Mar
dust210–130.0121%21 Mar
nuke13–100.0517%15 Mar
inferno13–80.0834%14 Mar
dust210–13-0.0218%13 Mar
overpass5–13-0.0815%7 Mar

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →