QLR-

QLR- — CS2 Stats

HR76561198116471270[U:1:156205542]Steam profile ↗✓ No bans

1,431Tracked matches71%Win rate2020Tracked since
5,773Hours in CS6Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating23,722Pink band · top ~4.4% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGQLR-FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,722 · Pink bandcsdb.gg/stats

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Performance scores

Aim57
Positioning47
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY56–40–4Last 10056%Win rateLLWWWWLWWL

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · +6.5pp headshot accuracy · +64ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 603ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 620ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 588ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim5.7
Utility6.5
Positioning4.7
Opening Duels1.8
Clutch4.4

Strong T-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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 53% on T to 25% on CT — first contacts on the defending side are being lost.

Reaction time. 571ms 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

Aim5.7
Positioning4.7
Utility6.5
Mechanics5.6
Opening Duels2.9
Win Impact10.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time573ms−25ms
first ⅓ avg 598ms → last ⅓ avg 573ms
Headshot accuracy17.4%−1.2%
first ⅓ avg 18.6% → last ⅓ avg 17.4%

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.

Personal bests

0.14Best match rating · 13–0 · inferno, 14 Oct →
56%Best headshot accuracy · 0–13 · dust2, 19 Jul →
375msFastest reaction time · 13–8 · ancient, 14 Sept →
13–0Biggest win · inferno, 14 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
12–2In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 67% over 15ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%0.02
dust2B168–850%-0.01
mirageS1510–567%0.00
cacheB137–654%0.00
nukeS128–467%-0.01
ancientC114–736%0.01
anubisA106–460%0.00
overpass—21–150%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

246,604Lifetime kills
1.07K/D
10,401Matches
28.7%Match win rate
54.4%Headshot %
15.2%Shot accuracy
13,094MVPs
3,823Hours (in match)
6,179Bombs planted
1,715Bombs defused

Most-used weapons

AK-4794,747
AWP20,700
P2508,260
P904,323
SSG 084,169
Knife3,935

Lifetime map wins

12,780inferno
9,797dust2
4,225nuke
1,409train
1,318vertigo
209cbble
119lake
109italy

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

Faceit stats

Combat

335Matches
53%Win rate
1.04Avg K/D
78.3ADR
37%Headshot %

Clutches & streaks

42%1v1 clutch win
33%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno650%1.2415.0
Dust2650%1.1419.3
Anubis560%1.5018.2
Ancient450%0.8814.0
Mirage333%1.2216.3
Vertigo20%1.0220.5
Nuke1100%1.0813.0
Cache10%0.8113.0

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.

16.9%Headshot accuracy
32.5%Accuracy (enemy spotted)
32.8%Spray accuracy
75.2%Counter-strafing
10.8°Preaim
571msReaction time
53.2%T opening success
25.0%CT opening success
0.60Enemies flashed / flash
5.0%Flash assists
12.99HE damage / grenade
8.92Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 24.9737% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–9-0.0833%11 Nov →
anubis9–13-0.0328%10 Nov →
inferno13–10-0.0515%10 Nov →
nuke13–70.0118%9 Nov →
cache13–90.0321%9 Nov →
mirage13–110.0017%8 Nov →
cache5–13-0.0328%7 Nov →
mirage13–4-0.0534%3 Nov →
dust213–11-0.0315%3 Nov →
mirage3–13-0.0220%25 Oct →
inferno15–15-0.017%21 Oct →
nuke9–130.0319%17 Oct →
cache15–15-0.0313%17 Oct →
inferno13–00.1429%14 Oct →
mirage13–110.0122%13 Oct →
nuke13–60.0314%12 Oct →
ancient7–13-0.0226%12 Oct →
mirage13–11-0.0210%11 Oct →
inferno13–90.0216%11 Oct →
nuke13–2-0.019%10 Oct →
inferno13–20.1020%10 Oct →
cache13–5-0.0120%4 Oct →
dust213–7-0.0413%4 Oct →
ancient13–50.129%4 Oct →
dust211–13-0.038%30 Sept →
anubis10–130.0218%28 Sept →
mirage13–11-0.0215%28 Sept →
cache3–13-0.055%22 Sept →
cache13–11-0.048%21 Sept →
dust216–13-0.0123%20 Sept →
nuke13–9-0.0217%20 Sept →
dust28–130.009%17 Sept →
inferno8–130.0113%16 Sept →
ancient13–8-0.0115%14 Sept →
dust27–13-0.0423%13 Sept →
mirage13–60.0420%13 Sept →
dust212–160.0121%8 Sept →
mirage13–80.0817%7 Sept →
mirage2–13-0.120%4 Sept →
ancient11–13-0.0426%4 Sept →
inferno13–11-0.0612%3 Sept →
dust213–30.0127%2 Sept →
cache13–8-0.0121%31 Aug →
nuke13–3-0.0218%30 Aug →
mirage7–13-0.0413%26 Aug →
cache13–60.0030%23 Aug →
inferno8–130.0417%1 Aug →
ancient5–130.0012%1 Aug →
mirage15–150.0616%30 Jul →
dust213–9-0.0326%30 Jul →
inferno13–50.0413%30 Jul →
nuke13–110.0630%29 Jul →
ancient8–13-0.0410%27 Jul →
inferno13–30.0718%27 Jul →
anubis13–90.0017%27 Jul →
cache6–13-0.0219%27 Jul →
dust27–130.0019%25 Jul →
anubis13–70.0818%25 Jul →
cache13–50.0622%23 Jul →
cache4–13-0.0325%20 Jul →
anubis13–10.0711%20 Jul →
dust20–13-0.0756%19 Jul →
cache8–130.0516%19 Jul →
dust215–150.0013%16 Jul →
cache10–30.0923%16 Jul →
inferno5–13-0.0015%15 Jul →
nuke8–13-0.0217%14 Jul →
anubis13–7-0.0128%14 Jul →
ancient8–13-0.0720%13 Jul →
nuke9–13-0.0516%12 Jul →
mirage13–70.0514%12 Jul →
dust213–80.0827%6 Jul →
dust28–13-0.0226%5 Jul →
anubis13–70.0122%5 Jul →
inferno5–13-0.0220%4 Jul →
anubis13–80.0223%4 Jul →
inferno9–130.0117%3 Jul →
mirage13–70.1013%2 Jul →
overpass8–13-0.0817%30 Jun →
inferno5–13-0.0016%24 Jun →
anubis2–13-0.0833%24 Jun →
dust213–40.0417%22 Jun →
overpass13–110.0814%21 Jun →
anubis13–16-0.0616%21 Jun →
inferno6–130.0117%18 Jun →
nuke13–80.0114%14 Jun →
mirage13–80.0311%14 Jun →
mirage9–13-0.0616%14 Jun →
inferno13–11-0.0015%2 Jun →
ancient10–13-0.0111%1 Jun →
nuke4–3-0.0640%1 Jun →
ancient13–110.1011%31 May →
inferno13–00.024%31 May →
inferno13–60.0614%31 May →
inferno13–80.0729%31 May →
inferno13–60.0213%30 May →
dust213–4-0.0315%29 May →
ancient6–130.0216%28 May →
ancient13–50.0427%28 May →
nuke2–13-0.0321%25 May →

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 →

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