uki-

uki- — CS2 Stats

76561197962671351[U:1:2405623]Steam profile ↗✓ No bans

3,591Tracked matches50%Win rate2020Tracked since
CSDB Rating5.2 DevelopingHybrid Rifler
Premier CS Rating14,091Blue band · top ~33.2% of ranked players (population est.)
CSDB Leaderboard#20214 of 31062 tracked
FaceitLevel 6 · 1,425 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGuki-FACEITLevel 6 · 1,425 ELOSTANDINGTop 54.0% of rankedPREMIER14,091 · Blue bandcsdb.gg/stats

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Performance scores

Aim68
Positioning40
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY4852Last 10048%Win rateLLLWWWWWLL

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression4.5
Utility6.3
Positioning4.0
Opening Duels0.7
Clutch2.4

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 45% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim6.8
Positioning4.0
Utility6.3
Mechanics6.4
Opening Duels1.9
Win Impact5.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time607ms−89ms
first ⅓ avg 696ms → last ⅓ avg 607ms
Headshot accuracy18.2%−2.4%
first ⅓ avg 20.7% → last ⅓ avg 18.2%

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

0.10Best rating — nuke 9–1
131Biggest win — inferno
6Longest win streak
L3Current streak
138In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 64% over 11ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA28171161%-0.01
dust2D2061430%-0.03
nukeB178947%-0.02
cacheB158753%-0.04
anubisA117464%-0.02
ancientD72529%-0.03
mirage2020%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

610Matches
52%Win rate
0.84Avg K/D
67.0ADR
43%Headshot %

Clutches & streaks

32%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno11761%0.8913.4
Dust210756%0.7711.9
Nuke8656%0.8713.9
Overpass3871%0.8512.5
Anubis3644%0.8313.9
Mirage2236%0.6512.3
Ancient2143%0.7011.5
Train1963%0.7911.3

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.

17.8%Headshot accuracy
32.9%Accuracy (enemy spotted)
35.6%Spray accuracy
78.6%Counter-strafing
8.5°Preaim
596msReaction time
21.2%T opening success
44.8%CT opening success
0.61Enemies flashed / flash
6.9%Flash assists
13.66HE damage / grenade
8.69Flashes / 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 21.1801% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.088%28 Aug
inferno4–13-0.0213%27 Aug
anubis11–13-0.1215%24 Aug
nuke13–60.0017%24 Aug
inferno13–80.0615%24 Aug
anubis13–110.0022%20 Aug
cache13–50.0719%20 Aug
inferno13–100.0316%20 Aug
inferno5–130.008%20 Aug
dust26–13-0.0938%19 Aug
nuke9–10.1044%18 Aug
inferno10–13-0.045%17 Aug
anubis13–110.0526%16 Aug
ancient11–13-0.0115%15 Aug
nuke10–13-0.0223%15 Aug
inferno13–11-0.0018%15 Aug
cache7–13-0.0524%14 Aug
dust216–120.0118%14 Aug
inferno13–40.0315%14 Aug
inferno13–10-0.0120%13 Aug
nuke13–11-0.0325%13 Aug
nuke13–10-0.0315%13 Aug
dust213–60.018%13 Aug
anubis8–13-0.0219%10 Aug
dust213–100.0020%9 Aug
mirage2–13-0.0120%7 Aug
cache13–5-0.0211%5 Aug
dust27–13-0.0815%5 Aug
nuke14–16-0.0511%4 Aug
cache10–13-0.0431%4 Aug
nuke2–13-0.0426%4 Aug
ancient10–13-0.089%3 Aug
dust212–16-0.0613%3 Aug
inferno13–7-0.0221%2 Aug
nuke11–130.0111%1 Aug
ancient2–13-0.0521%1 Aug
anubis8–13-0.0318%1 Aug
dust210–13-0.059%1 Aug
anubis8–13-0.0321%31 Jul
inferno13–7-0.066%31 Jul
cache8–13-0.0638%31 Jul
ancient13–10-0.0113%31 Jul
dust26–13-0.0816%31 Jul
inferno13–11-0.0524%31 Jul
nuke6–13-0.0712%30 Jul
inferno13–11-0.0414%30 Jul
cache13–11-0.0521%30 Jul
anubis13–6-0.0629%30 Jul
inferno13–90.0236%27 Jul
cache16–120.0023%27 Jul
inferno13–100.0121%27 Jul
inferno7–13-0.0320%26 Jul
cache3–13-0.1010%26 Jul
nuke13–11-0.0612%26 Jul
anubis13–4-0.038%26 Jul
dust211–13-0.0111%26 Jul
dust212–16-0.0810%25 Jul
inferno13–11-0.0319%24 Jul
ancient13–110.0222%24 Jul
dust27–13-0.0216%24 Jul
anubis13–10-0.0112%24 Jul
ancient5–13-0.0426%23 Jul
inferno13–16-0.0320%23 Jul
dust216–13-0.0013%23 Jul
cache13–30.0518%23 Jul
dust214–16-0.0421%23 Jul
inferno13–90.0130%22 Jul
cache11–13-0.0416%22 Jul
inferno9–13-0.0221%22 Jul
cache9–13-0.0432%20 Jul
inferno10–13-0.0524%19 Jul
dust28–13-0.0727%19 Jul
nuke13–8-0.0229%19 Jul
nuke14–16-0.0618%18 Jul
nuke7–13-0.0532%17 Jul
inferno13–11-0.0013%17 Jul
dust213–16-0.0315%17 Jul
cache13–11-0.0913%16 Jul
nuke8–13-0.0621%15 Jul
dust213–7-0.0315%15 Jul
anubis13–11-0.0316%15 Jul
inferno13–10.0315%15 Jul
anubis13–90.0021%14 Jul
cache13–6-0.0825%14 Jul
dust27–13-0.0127%14 Jul
cache13–9-0.0821%14 Jul
dust27–13-0.0211%14 Jul
ancient2–13-0.0621%14 Jul
nuke8–13-0.0110%13 Jul
mirage1–13-0.0723%13 Jul
inferno13–30.0215%13 Jul
dust28–13-0.0413%13 Jul
nuke13–7-0.0218%13 Jul
inferno9–130.0122%12 Jul
dust213–100.0027%12 Jul
inferno5–13-0.0419%12 Jul
inferno3–13-0.0317%11 Jul
nuke13–10.0714%11 Jul
inferno9–30.0144%11 Jul
cache2–13-0.0427%10 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →