uᴉSʇoN

uᴉSʇoN — CS2 Stats

CA76561198149189231[U:1:188923503]Steam profile ↗

899Tracked matches65%Win rate2020Tracked since
CSDB Rating5.6 Solid
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGuᴉSʇoNFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning54
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY503713Last 10050%Win rateWWLWLWLWWT

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim5.8
Aggression4.6
Utility1.9
Positioning5.4
Opening Duels0.7

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 80% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 55% on CT to 11% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 674ms 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

Aim5.8
Positioning5.4
Utility1.9
Mechanics8.2
Opening Duels3.1
Win Impact10.0

Composite 5.6/10 (Solid), 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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time658ms+9ms
first ⅓ avg 649ms → last ⅓ avg 658ms
Headshot accuracy20.9%+2.7%
first ⅓ avg 18.1% → last ⅓ avg 20.9%

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

0.21Best rating — breach 5–16
160Biggest win — breach
7Longest win streak
W2Current streak
94In matches decided by ≤2 rounds
69Overtime games

Map breakdown

overpassBest map · 83% over 12infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B27141352%0.02
mirageC24101442%0.03
overpassS1210283%0.02
vertigoD102820%0.03
infernoD71614%0.03
cacheA53260%0.04
ancient330100%0.05
train330100%0.06
tuscan31233%-0.02
nuke2020%0.03
breach21150%0.12
boulder110100%-0.07
insertion2110100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

774Matches
55%Win rate
1.13Avg K/D
ADR
42%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
15Longest win streak

Recent Faceit resultsLLWWL

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.

20.7%Headshot accuracy
31.1%Accuracy (enemy spotted)
31.6%Spray accuracy
87.0%Counter-strafing
10.7°Preaim
674msReaction time
10.8%T opening success
55.0%CT opening success
0.62Enemies flashed / flash
3.5%Flash assists
4.53HE damage / grenade
9.22Flashes / 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 10.8414% — below the 40% mark we flag

Spend your practice time on Inferno

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
boulder13–3-0.078%9 Aug
dust213–70.0125%9 Aug
dust25–13-0.0420%9 Aug
dust216–14-0.0218%5 Jul
dust28–13-0.0015%5 Jul
overpass13–5-0.0416%2 May
mirage7–13-0.0319%2 May
inferno13–70.1736%9 Mar
mirage13–60.1731%9 Mar
nuke12–12-0.0126%3 Jan
mirage13–40.0538%3 Jan
overpass13–90.0122%7 Dec
ancient13–60.0729%7 Dec
vertigo9–13-0.0624%9 Sept
inferno3–13-0.0819%9 Sept
mirage13–11-0.0118%9 Sept
dust29–50.0842%5 Sept
vertigo6–90.1318%5 Sept
mirage6–16-0.0324%30 May
overpass15–150.0213%13 May
ancient16–70.0225%13 May
vertigo5–90.0230%13 May
vertigo15–150.0121%13 May
mirage16–10-0.0219%11 May
dust213–16-0.0013%11 May
overpass16–140.0517%11 May
mirage8–8-0.036%8 May
cache9–20.0925%8 May
train9–30.046%8 May
overpass16–90.0214%6 May
dust216–130.0921%6 May
mirage16–80.0815%6 May
overpass15–15-0.0217%6 May
vertigo14–160.0224%6 May
mirage15–150.0420%30 Apr
ancient16–110.0527%30 Apr
dust29–70.1027%27 Apr
dust28–80.0715%26 Apr
dust26–90.0818%26 Apr
mirage9–160.0317%24 Apr
dust28–16-0.0323%24 Apr
dust216–14-0.0213%10 Apr
dust210–16-0.0015%10 Apr
vertigo16–80.0823%9 Apr
cache11–160.0311%9 Apr
dust216–12-0.0218%9 Apr
dust214–160.0412%8 Apr
mirage16–120.0115%8 Apr
dust29–160.0614%8 Apr
mirage16–120.1324%7 Apr
dust215–150.0630%7 Apr
dust215–15-0.0520%7 Apr
dust216–13-0.0024%26 Mar
inferno13–160.0614%26 Mar
vertigo11–160.0222%26 Mar
mirage11–16-0.0120%26 Mar
mirage14–160.0315%26 Feb
mirage16–50.0211%26 Feb
mirage16–100.1318%26 Feb
mirage2–16-0.0517%26 Feb
overpass16–11-0.0321%19 Feb
cache14–160.0610%19 Feb
mirage15–150.0518%19 Feb
dust216–100.0222%31 Dec
overpass16–90.1414%2 Oct
breach5–160.2129%28 Aug
overpass16–60.0811%24 Aug
overpass16–10-0.039%24 Aug
breach16–00.030%24 Aug
mirage9–160.0518%24 Aug
dust216–90.0613%23 Aug
vertigo16–90.0521%23 Aug
mirage9–16-0.0319%23 Aug
tuscan7–16-0.0116%23 Aug
dust216–11-0.0224%23 Aug
tuscan8–16-0.0223%21 Aug
tuscan16–1-0.036%21 Aug
dust215–15-0.0114%6 Jun
mirage6–16-0.0313%26 Mar
dust216–60.0418%17 Mar
dust26–160.0121%13 Mar
vertigo7–160.0226%13 Mar
mirage5–90.0622%5 Mar
overpass9–50.0433%5 Mar
cache16–13-0.0221%12 Feb
cache9–70.0223%5 Feb
dust29–7-0.0320%5 Feb
dust29–70.0810%24 Jan
insertion216–80.0729%20 Jan
mirage9–70.1322%19 Jan
inferno10–160.0418%17 Jan
inferno15–150.0213%16 Jan
train16–100.0619%13 Jan
train16–90.0822%13 Jan
inferno12–16-0.0119%13 Jan
mirage13–160.0724%9 Jan
vertigo10–160.019%8 Jan
nuke6–160.0724%8 Jan
inferno8–80.0313%1 Jan
overpass16–12-0.0420%25 Dec

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →