_Uni_Q

_Uni_Q — CS2 Stats

ZA76561199058010910[U:1:1097745182]Steam profile ↗✓ No bans

953Tracked matches61%Win rate2020Tracked since
1,076Hours in CS
CSDB Rating5.1 DevelopingSupport
Premier CS Rating10,024Blue band · top ~54.8% of ranked players (population est.)
CSDB Leaderboard#41021 of 57331 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=3,953), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate39.5%41.5%44.2%4.7% short
Shot accuracy16.7%9.1%11.7%above
Kill/death ratio0.800.981.030.23 short
Match win rate36.1%43.7%45.2%9.0% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG_Uni_QPREMIER10,024 · Blue bandcsdb.gg/stats

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Performance scores

Aim55
Positioning43
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY54433Last 10054%Win rateLLTWTWLWWL

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

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

Aim5.5
Aggression4.5
Utility7.3
Positioning4.3
Opening Duels1.1

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 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 638ms 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

Aim5.5
Positioning4.3
Utility7.3
Mechanics5.0
Opening Duels1.1
Win Impact8.6

Composite 5.1/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time642ms−14ms
first ⅓ avg 656ms → last ⅓ avg 642ms
Headshot accuracy19.7%+2.9%
first ⅓ avg 16.8% → last ⅓ avg 19.7%

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 — inferno 13–7
132Biggest win — nuke
7Longest win streak
L2Current streak
117In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 67% over 30nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageS30201067%-0.02
infernoB23111248%0.01
overpassA1810856%-0.02
dust2B178947%-0.00
nukeD82625%-0.00
anubis21150%-0.05
ancient110100%0.04
train110100%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,704Lifetime kills
0.80K/D
2,679Matches
36.1%Match win rate
39.5%Headshot %
16.7%Shot accuracy · Top 25% of Blue band
3,671MVPs
1,076Hours (in match)
4,340Bombs planted
605Bombs defused

Most-used weapons

AK-4713,643
AWP3,921
MP71,765
MAC-101,283
FAMAS1,132

Lifetime map wins

6,900dust2
3,756inferno
898nuke
792vertigo
636train
28cbble
4ar_shoots
4stmarc

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.

19.7%Headshot accuracy
29.7%Accuracy (enemy spotted)
34.1%Spray accuracy
72.3%Counter-strafing
8.9°Preaim
638msReaction time
33.3%T opening success
35.6%CT opening success
0.65Enemies flashed / flash
2.1%Flash assists
13.39HE damage / grenade
5.27Flashes / 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 33.3082% — below the 40% mark we flag

Spend your practice time on Nuke

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–130.0142%27 Sept
dust210–13-0.0521%27 Sept
inferno15–15-0.0811%25 Sept
dust213–90.0525%25 Sept
mirage15–150.0318%23 Sept
overpass13–90.0114%13 Sept
inferno9–130.0124%11 Sept
dust213–10-0.0416%11 Sept
inferno13–100.0419%11 Sept
overpass2–13-0.039%27 Aug
inferno14–16-0.0220%27 Aug
mirage13–8-0.0220%27 Aug
mirage8–13-0.0621%25 Aug
overpass13–8-0.089%25 Aug
overpass13–70.0617%24 Aug
mirage9–130.0022%24 Aug
mirage13–10-0.0214%24 Aug
inferno13–7-0.0117%24 Aug
mirage16–13-0.0416%23 Aug
mirage13–7-0.028%23 Aug
inferno13–60.0433%23 Aug
inferno16–14-0.0325%23 Aug
mirage13–7-0.0226%23 Aug
dust28–130.0019%23 Aug
inferno8–13-0.0221%23 Aug
mirage8–13-0.0516%22 Aug
inferno13–10-0.0332%22 Aug
nuke13–20.0422%22 Aug
dust27–13-0.0513%22 Aug
mirage13–7-0.0324%22 Aug
mirage13–11-0.0413%20 Aug
overpass16–14-0.0213%20 Aug
dust211–13-0.0229%19 Aug
inferno13–70.078%19 Aug
mirage10–130.0120%17 Aug
overpass16–14-0.0511%17 Aug
mirage13–10-0.0526%17 Aug
dust24–13-0.0528%17 Aug
nuke13–90.0312%16 Aug
inferno8–13-0.0322%16 Aug
overpass10–13-0.0125%16 Aug
dust213–11-0.0125%16 Aug
mirage13–9-0.0041%16 Aug
inferno13–110.0027%16 Aug
overpass13–110.0313%16 Aug
inferno8–130.0221%16 Aug
dust213–11-0.0611%16 Aug
overpass1–13-0.059%16 Aug
mirage10–13-0.0419%8 Aug
overpass4–13-0.0212%8 Aug
inferno11–130.0614%6 Aug
dust26–13-0.0315%6 Aug
inferno15–15-0.0212%6 Aug
mirage13–8-0.0329%3 Aug
overpass13–7-0.0316%3 Aug
overpass13–40.0321%2 Aug
dust29–130.0127%2 Aug
ancient13–20.0430%2 Aug
mirage13–5-0.0518%2 Aug
overpass9–13-0.0610%2 Aug
nuke11–13-0.0513%2 Aug
mirage13–9-0.0217%27 Jul
mirage13–110.0327%27 Jul
overpass11–13-0.038%27 Jul
dust213–50.0211%26 Jul
overpass5–13-0.0824%26 Jul
mirage13–70.1014%26 Jul
inferno13–70.0724%26 Jul
nuke9–130.0112%26 Jul
dust213–110.0031%26 Jul
mirage8–13-0.057%26 Jul
dust27–13-0.009%26 Jul
mirage13–6-0.0512%26 Jul
inferno13–80.0422%26 Jul
overpass13–60.0216%26 Jul
mirage13–90.0423%26 Jul
inferno13–70.1210%26 Jul
mirage13–40.0617%26 Jul
overpass13–8-0.0213%26 Jul
nuke11–13-0.0315%20 Jul
dust211–130.0116%20 Jul
overpass6–13-0.0310%19 Jul
mirage13–6-0.037%19 Jul
mirage4–13-0.0528%13 Jul
nuke5–130.0413%13 Jul
inferno5–13-0.0510%13 Jul
dust213–60.0423%13 Jul
anubis13–10-0.0517%6 Jul
nuke10–13-0.0018%2 Jul
dust213–50.1038%2 Jul
mirage13–16-0.0213%2 Jul
mirage13–7-0.0622%2 Jul
anubis6–13-0.0511%2 Jul
inferno13–20.1119%2 Jul
inferno10–13-0.074%29 Jun
inferno5–130.0122%29 Jun
nuke10–13-0.0519%29 Jun
mirage4–13-0.0117%29 Jun
train13–11-0.0317%29 Jun
mirage13–8-0.0320%22 Jun

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 →