Qwaan — CS2 Stats

76561198987749984[U:1:1027484256]

963Tracked matches71%Win rate2023Tracked since
444Hours in CS
CSDB Rating3.9 Learning
Ladder ranks via Leetify

Performance scores

Aim18
Positioning48
Utility63

0–100 skill scores via Leetify.

Recent form

HOT54433Last 10054%Win rateWWLWWWTWLW

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

Player DNA

Aim1.8
Aggression6.5
Utility6.3
Positioning4.8
Opening Duels2.6

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

Twistzz

Plays most like Twistzz 80% playstyle similarity

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

Where you differ: 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 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim1.8
Positioning4.8
Utility6.3
Mechanics1.3
Opening Duels2.6
Win Impact10.0

Composite 3.9/10 (Learning), 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 rating-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time600ms−63ms
first ⅓ avg 663ms → last ⅓ avg 600ms
Headshot accuracy8.8%−2.4%
first ⅓ avg 11.1% → last ⅓ avg 8.8%

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

0.12Best rating — dust2 13–7
131Biggest win — mirage
7Longest win streak
W2Current streak
92In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 64% over 14ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B24131154%-0.02
infernoA1811761%-0.03
mirageA149564%0.00
cacheA106460%-0.02
ancientD91811%-0.06
nukeB84450%-0.02
overpassA74357%-0.05
anubisB63350%-0.03
train220100%-0.02
vertigo21150%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,466Lifetime kills
0.82K/D
1,183Matches
44.0%Match win rate
33.1%Headshot %
1.1%Shot accuracy
1,730MVPs
444Hours (in match)
1,613Bombs planted
196Bombs defused

Most-used weapons

Lifetime map wins

2,735dust2
1,537inferno
915nuke
749vertigo
336train
13italy
11office
2ar_shoots

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

Skill profile

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

9.1%Headshot accuracy
27.3%Accuracy (enemy spotted)
33.3%Spray accuracy
56.0%Counter-strafing
13.0°Preaim
595msReaction time
32.1%T opening success
48.4%CT opening success
0.62Enemies flashed / flash
4.9%Flash assists
8.23HE damage / grenade
10.38Flashes / 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 12.983° — above the 12° mark we flag

    Aim Training
  2. 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 9.1183% — below the 15% mark we flag

    Aim Training
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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.048%27 Aug
dust213–3-0.0211%23 Aug
cache7–13-0.0313%23 Aug
dust213–100.054%22 Aug
dust213–20.0411%21 Aug
nuke13–8-0.0210%17 Aug
ancient12–12-0.055%16 Aug
cache13–3-0.0511%16 Aug
inferno9–13-0.0613%14 Aug
train13–11-0.009%25 Jun
inferno13–4-0.027%25 Jun
mirage6–13-0.089%24 Jun
cache12–12-0.0710%24 Jun
cache10–13-0.0810%24 Jun
nuke13–40.038%20 Jun
mirage13–10.021%20 Jun
dust27–13-0.058%17 Jun
inferno13–1-0.027%17 Jun
inferno13–7-0.014%17 Jun
mirage13–40.0115%15 Jun
inferno13–4-0.092%15 Jun
dust213–6-0.0418%14 Jun
ancient13–90.0013%14 Jun
anubis13–7-0.0711%12 Jun
dust22–13-0.098%12 Jun
ancient5–13-0.097%11 Jun
inferno13–40.0510%10 Jun
inferno13–80.0311%10 Jun
dust25–13-0.0411%10 Jun
dust213–4-0.026%5 Jun
vertigo13–8-0.004%5 Jun
cache13–8-0.018%28 May
nuke9–13-0.025%28 May
dust213–70.1212%27 May
overpass13–9-0.0910%27 May
mirage13–70.057%26 May
dust25–13-0.057%26 May
inferno1–7-0.058%25 May
cache13–9-0.0317%24 May
dust26–13-0.046%24 May
mirage13–9-0.0421%23 May
dust213–110.0913%23 May
cache13–11-0.0112%20 May
inferno13–4-0.0115%13 May
inferno13–3-0.038%13 May
mirage13–50.049%13 May
inferno8–13-0.0413%10 May
inferno8–13-0.035%10 May
inferno13–9-0.027%6 May
cache6–130.0316%6 May
inferno8–13-0.087%6 May
ancient12–16-0.109%1 May
anubis13–40.029%1 May
inferno8–13-0.0519%29 Apr
cache13–8-0.0013%29 Apr
cache13–6-0.0116%29 Apr
train13–3-0.038%24 Apr
mirage13–110.0311%23 Apr
dust23–13-0.1311%23 Apr
overpass3–13-0.085%23 Apr
mirage7–13-0.0216%17 Apr
mirage13–110.0016%17 Apr
dust213–50.038%17 Apr
overpass9–13-0.089%11 Apr
nuke3–13-0.0915%11 Apr
mirage10–130.036%8 Apr
vertigo8–13-0.015%8 Apr
anubis6–13-0.0510%3 Apr
inferno8–13-0.0812%2 Apr
overpass13–2-0.0113%2 Apr
dust213–7-0.0211%20 Mar
dust213–7-0.0110%19 Mar
dust213–11-0.0113%18 Mar
nuke12–12-0.0513%18 Mar
nuke3–13-0.0313%17 Mar
nuke13–20.0413%14 Mar
ancient11–13-0.0712%14 Mar
dust29–130.0514%13 Mar
overpass1–13-0.0713%12 Mar
mirage7–130.0013%6 Mar
ancient5–13-0.0517%6 Mar
nuke13–9-0.0011%5 Mar
inferno13–30.0810%5 Mar
ancient12–16-0.019%4 Mar
dust210–13-0.039%4 Mar
mirage13–110.028%3 Mar
anubis9–13-0.0512%27 Feb
ancient2–13-0.0912%27 Feb
dust213–110.0016%25 Feb
mirage13–20.069%24 Feb
overpass13–9-0.029%24 Feb
mirage4–13-0.123%20 Feb
dust21–13-0.066%20 Feb
ancient3–6-0.078%20 Feb
dust210–13-0.0910%14 Feb
overpass13–10-0.0310%13 Feb
anubis13–10.035%13 Feb
dust214–16-0.0211%7 Feb
dust213–3-0.0527%6 Feb
anubis2–13-0.037%6 Feb

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 →