swenk

swenk — CS2 Stats

AU76561198133131412[U:1:172865684]Steam profile ↗✓ No bans

883Tracked matches54%Win rate2024Tracked since
CSDB Rating4.7 Developing
Ladder ranks via Leetify

Performance scores

Aim50
Positioning49
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY45469Last 10045%Win rateWWLWTLTWWL

Last 10 vs previous 10: -10pp win rate · -0.06 avg rating

Player DNA

Aim5.0
Aggression5.9
Utility3.6
Positioning4.9
Opening Duels2.0

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 81% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 672ms 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

Aim5.0
Positioning4.9
Utility3.6
Mechanics5.4
Opening Duels2.0
Win Impact6.2

Composite 4.7/10 (Developing), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time657ms−42ms
first ⅓ avg 700ms → last ⅓ avg 657ms
Headshot accuracy17.5%+2.6%
first ⅓ avg 14.9% → last ⅓ avg 17.5%

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

0.22Best rating — dust2 13–1
131Biggest win — dust2
6Longest win streak
W2Current streak
89In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 55% over 11mirageWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B29131645%0.00
nukeC1881044%0.00
mirageC1771041%0.01
infernoA116555%0.02
trainB115645%-0.00
ancientB63350%-0.01
anubis42250%-0.00
overpass31233%-0.02
alpine1010%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

16.5%Headshot accuracy
37.5%Accuracy (enemy spotted)
36.1%Spray accuracy
74.1%Counter-strafing
12.8°Preaim
672msReaction time
31.1%T opening success
44.7%CT opening success
0.37Enemies flashed / flash
7.4%Flash assists
7.39HE damage / grenade
6.08Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.7611° — above the 12° mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3717 — below the 0.5 mark we flag

    Grenade Lineups
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.

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–70.034%4 Aug
nuke13–6-0.0112%16 Apr
dust211–13-0.0221%10 Apr
dust213–1-0.0119%26 Mar
nuke12–12-0.066%26 Mar
anubis6–13-0.0322%14 Mar
dust212–12-0.0920%4 Mar
nuke13–4-0.067%4 Mar
anubis13–40.058%1 Mar
dust211–13-0.0121%25 Feb
mirage13–60.0412%25 Feb
anubis5–13-0.0632%23 Feb
mirage9–10.1616%23 Feb
dust213–50.0115%23 Feb
mirage10–130.0220%22 Feb
dust213–40.0325%22 Feb
overpass9–130.0325%22 Feb
ancient11–130.0412%22 Feb
inferno13–40.0421%22 Feb
nuke13–70.0414%22 Feb
nuke11–13-0.0117%20 Feb
overpass9–1-0.008%20 Feb
anubis13–80.0312%20 Feb
dust213–10.2225%16 Feb
alpine6–13-0.0517%15 Feb
nuke8–130.0415%15 Feb
ancient0–13-0.1129%6 Feb
mirage6–13-0.0223%4 Feb
nuke13–70.0715%4 Feb
nuke11–13-0.059%1 Feb
dust24–130.0613%1 Feb
nuke13–16-0.0113%27 Jan
dust27–13-0.0150%24 Jan
ancient13–10-0.0410%23 Jan
dust29–13-0.005%23 Jan
nuke13–80.0112%22 Jan
mirage13–2-0.0211%22 Jan
inferno13–10.088%11 Jan
nuke13–110.0412%10 Jan
dust213–40.0710%10 Jan
dust213–70.0217%9 Jan
mirage3–13-0.0617%9 Jan
nuke9–13-0.028%20 Dec
dust213–110.028%16 Dec
train13–10-0.024%16 Dec
inferno13–110.0616%12 Dec
mirage13–80.0815%12 Dec
mirage9–13-0.016%11 Dec
inferno12–12-0.002%11 Dec
inferno4–13-0.0711%10 Dec
nuke13–80.0213%10 Dec
mirage5–13-0.023%3 Dec
inferno6–13-0.0011%3 Dec
inferno13–90.029%29 Nov
dust23–13-0.0522%28 Nov
dust27–130.0115%27 Nov
dust26–13-0.0412%25 Nov
train12–12-0.0119%25 Nov
nuke1–13-0.0117%22 Nov
inferno12–12-0.048%22 Nov
train13–4-0.0224%22 Nov
dust23–13-0.0615%22 Nov
mirage12–120.025%20 Nov
overpass6–13-0.086%20 Nov
nuke13–90.1220%18 Nov
nuke11–130.0119%16 Nov
train5–13-0.0123%16 Nov
mirage13–7-0.037%16 Nov
dust212–16-0.045%14 Nov
dust213–110.0410%14 Nov
mirage13–70.0112%11 Nov
dust213–40.1112%11 Nov
nuke7–13-0.0218%10 Nov
inferno13–9-0.0210%10 Nov
train13–110.0015%10 Nov
mirage3–130.0118%10 Nov
inferno9–130.038%9 Nov
train13–20.0737%7 Nov
dust213–40.0223%7 Nov
dust211–13-0.0320%6 Nov
train12–12-0.0611%5 Nov
mirage1–3-0.0713%5 Nov
dust213–100.0116%4 Nov
train3–130.0110%3 Nov
inferno13–10.1013%3 Nov
dust28–13-0.0714%3 Nov
ancient5–13-0.0017%2 Nov
mirage8–13-0.0521%2 Nov
dust213–11-0.0225%2 Nov
dust211–13-0.0116%30 Oct
mirage13–90.009%30 Oct
train13–60.0113%30 Oct
ancient13–110.0111%27 Oct
dust27–13-0.0416%27 Oct
mirage2–130.0314%26 Oct
train5–13-0.0411%24 Oct
ancient13–110.0410%24 Oct
train12–120.0624%24 Oct
nuke12–12-0.0117%23 Oct
dust210–13-0.0616%22 Oct

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 →