Queen Scopes

Queen Scopes — CS2 Stats

76561198134442006[U:1:174176278]Steam profile ↗✓ No bans

1,944Tracked matches44%Win rate2022Tracked since
CSDB Rating4.2 DevelopingClutch Specialist
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,024 +545 29 May – 15 Jun · 6 days played
11,47912,537peak 12,53729 May15 Jun
12,537Peak Premier in tracked matches
48Days played since 2026-05-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGQueen ScopesFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning38
Utility41

0–100 skill scores via Leetify.

Recent form

COLD45–42–13Last 10045%Win rateWLWTLLTWTL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.1pp headshot accuracy · +1ms reaction

Win rate −10pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 575ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 561ms

Last 20

  • 7–9–4 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 8%
  • Avg reaction 561ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.8 against its own average).

Aim6.3
Utility4.1
Positioning3.8
Opening Duels0.0
Clutch5.0

Limited utility dependence

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

b1t

Plays most like b1t 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Counter-strafing. Only 67% 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

Aim6.3
Positioning3.8
Utility4.1
Mechanics3.7
Opening Duels0.7
Win Impact3.0

Composite 4.2/10 (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 rating-0.04−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time530ms−56ms
first ⅓ avg 585ms → last ⅓ avg 530ms
Headshot accuracy8.2%−2.4%
first ⅓ avg 10.5% → last ⅓ avg 8.2%

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

0.06Best match rating · 13–5 · overpass, 15 Jun →
26%Best headshot accuracy · 13–7 · dust2, 6 Jun →
375msFastest reaction time · 1–9 · dust2, 17 Sept →
13–1Biggest win · mirage, 2 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
1–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 51% over 35dust2Weakest map · 38% over 45
MapGradePlayedRecordWin rateAvg rating
dust2C4517–2838%-0.03
mirageB3518–1751%-0.03
ancientC52–340%-0.03
infernoC52–340%-0.05
cache—31–233%0.01
overpass—33–0100%0.01
anubis—21–150%-0.06
nuke—11–0100%0.01
train—10–10%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 45). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

28Matches
43%Win rate
0.48Avg K/D
45.5ADR
31%Headshot %

Clutches & streaks

45%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2933%0.447.2
Inferno520%0.528.8
Anubis333%0.507.7
Mirage2100%0.607.5
Vertigo20%0.365.0
Ancient1100%0.385.0

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.

8.1%Headshot accuracy
35.5%Accuracy (enemy spotted)
39.8%Spray accuracy
66.6%Counter-strafing
7.3°Preaim
534msReaction time
35.4%T opening success
28.6%CT opening success
0.62Enemies flashed / flash
1.7%Flash assists
14.69HE damage / grenade
2.26Flashes / 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. 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 8.1166% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.2586 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 35.3519% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 45 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–110.017%13 Oct →
cache6–13-0.0414%13 Oct →
dust211–8-0.044%13 Oct →
mirage12–12-0.0618%10 Oct →
ancient8–13-0.095%10 Oct →
ancient5–13-0.050%10 Oct →
mirage12–120.014%9 Oct →
dust213–20.035%9 Oct →
mirage12–12-0.019%8 Oct →
dust211–13-0.0310%8 Oct →
dust211–13-0.039%7 Oct →
dust213–6-0.0313%6 Oct →
mirage10–5-0.070%5 Oct →
dust212–12-0.006%4 Oct →
mirage6–13-0.063%4 Oct →
dust29–13-0.0421%4 Oct →
dust211–13-0.076%1 Oct →
mirage13–9-0.103%26 Sept →
mirage5–13-0.0418%24 Sept →
dust213–30.029%20 Sept →
mirage5–13-0.037%20 Sept →
mirage13–9-0.018%18 Sept →
dust21–9-0.035%17 Sept →
mirage12–12-0.005%17 Sept →
mirage7–13-0.0810%13 Sept →
dust23–13-0.149%13 Sept →
inferno13–9-0.0116%10 Sept →
dust28–13-0.097%10 Sept →
dust213–7-0.0212%9 Sept →
mirage13–10-0.030%9 Sept →
mirage13–60.023%7 Sept →
ancient13–70.0110%7 Sept →
dust29–13-0.0617%7 Sept →
dust213–100.0320%6 Sept →
inferno1–13-0.0810%6 Sept →
mirage13–60.0511%6 Sept →
mirage0–10-0.0718%5 Sept →
dust213–10-0.0110%5 Sept →
mirage13–8-0.0513%4 Sept →
dust212–12-0.059%4 Sept →
nuke13–40.0114%4 Sept →
mirage9–13-0.048%4 Sept →
inferno8–13-0.098%2 Sept →
mirage13–1-0.010%2 Sept →
dust213–60.056%2 Sept →
dust211–13-0.0416%23 Aug →
train9–13-0.067%22 Aug →
mirage5–13-0.0214%22 Aug →
overpass13–20.044%22 Aug →
dust27–13-0.065%17 Aug →
dust213–60.0419%17 Aug →
mirage12–12-0.080%12 Aug →
dust29–13-0.044%12 Aug →
mirage13–90.0012%10 Aug →
dust213–6-0.0410%10 Aug →
mirage15–15-0.058%9 Aug →
dust24–13-0.0315%9 Aug →
mirage13–80.0314%2 Aug →
dust25–13-0.0713%1 Aug →
dust212–12-0.0814%29 Jul →
dust213–30.019%27 Jul →
cache5–130.023%27 Jul →
mirage1–13-0.085%27 Jul →
dust25–13-0.055%25 Jul →
ancient12–12-0.056%24 Jul →
mirage13–4-0.017%24 Jul →
dust212–12-0.0122%24 Jul →
dust210–13-0.099%19 Jul →
mirage12–12-0.0614%18 Jul →
dust213–40.0513%18 Jul →
dust24–13-0.0318%15 Jul →
mirage13–1-0.034%15 Jul →
dust213–5-0.043%15 Jul →
mirage13–9-0.0413%11 Jul →
dust213–8-0.0110%11 Jul →
dust27–13-0.1110%15 Jun →
overpass13–50.063%15 Jun →
mirage11–8-0.040%14 Jun →
dust25–13-0.0614%14 Jun →
inferno9–13-0.040%10 Jun →
anubis4–13-0.023%10 Jun →
mirage13–10-0.0313%6 Jun →
mirage4–11-0.040%6 Jun →
dust213–7-0.0726%6 Jun →
mirage13–2-0.066%6 Jun →
dust28–13-0.0410%6 Jun →
mirage13–5-0.0318%3 Jun →
dust28–13-0.035%3 Jun →
dust213–50.0117%1 Jun →
inferno13–9-0.049%1 Jun →
overpass13–8-0.065%1 Jun →
cache13–20.0515%1 Jun →
anubis13–3-0.1013%31 May →
dust27–13-0.0323%31 May →
mirage2–13-0.0116%30 May →
dust23–13-0.046%30 May →
dust211–13-0.0314%29 May →
mirage13–4-0.078%29 May →
dust213–8-0.0016%29 May →
dust212–12-0.0116%24 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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