VeeraTheQueen

VeeraTheQueen — CS2 Stats

FI76561198241780036[U:1:281514308]Steam profile ↗✓ No bans

1,314Tracked matches33%Win rate2021Tracked since
CSDB Rating2.5 LearningPositional Player
Premier CS Rating14,065Blue band · top ~33.4% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 26 Dec 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 14,065 +550 26 Dec19 Sept · 11 days played
11,44415,982peak 15,98226 Dec19 Sept
16,667Peak Premier in tracked matches
32Days played since 2025-12-26

Premier CS Rating

  • 1,917 below peak (15,982)
  • Next: Purple band at 15,000 935 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-15
  • Blue band first seen 2026-09-15

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

Share this profile

CSDB.GGVeeraTheQueenFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER14,065 · Blue bandcsdb.gg/stats

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Performance scores

Aim31
Positioning37
Utility17

0–100 skill scores via Leetify.

Recent form

COLD32662Last 10032%Win rateLWLLLLLLLL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +3.0pp headshot accuracy · +102ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 24%
  • Avg reaction 772ms

Last 10

  • 19 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 733ms

Last 20

  • 515 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 682ms

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: Positional PlayerPositioning stands above the rest of this profile (+2.1 against its own average).

Aim3.1
Utility1.7
Positioning3.7
Opening Duels0.4
Clutch0.6

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

jL

Plays most like jL 81% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 661ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim3.1
Positioning3.7
Utility1.7
Mechanics4.3
Opening Duels0.8
Win Impact0.0

Composite 2.5/10 (Learning), 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-0.05+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time651ms−154ms
first ⅓ avg 805ms → last ⅓ avg 651ms
Headshot accuracy16.6%+1.9%
first ⅓ avg 14.8% → last ⅓ avg 16.6%

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

0.08Best match rating · 6–13 · dust2, 11 Sept
38%Best headshot accuracy · 11–13 · cache, 7 Jul
445msFastest reaction time · 1–13 · anubis, 25 Aug
13–2Biggest win · mirage, 19 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
46In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 67% over 6anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageD1861233%-0.04
nukeD1541127%-0.05
cacheC135838%-0.04
ancientD1331023%-0.07
infernoB137654%-0.04
dust2D92722%-0.03
anubisD71614%-0.04
vertigoS64267%-0.05
overpass3030%-0.07
train3030%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

288Matches
44%Win rate
0.70Avg K/D
53.5ADR
35%Headshot %

Clutches & streaks

23%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke3650%0.7811.8
Mirage3453%0.699.4
Ancient3345%0.7310.6
Vertigo3333%0.669.9
Anubis3158%0.7910.4
Inferno2157%0.698.8
Dust21735%0.7512.7
Train1100%0.203.0

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.

16.6%Headshot accuracy
27.7%Accuracy (enemy spotted)
29.4%Spray accuracy
69.5%Counter-strafing
11.4°Preaim
661msReaction time
36.5%T opening success
25.6%CT opening success
0.15Enemies flashed / flash
2.9%Flash assists
10.26HE damage / grenade
1.01Flashes / 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. 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 0.1491 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 36.4636% — below the 40% mark we flag

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0919%19 Sept
mirage13–2-0.0331%19 Sept
nuke3–13-0.0529%19 Sept
ancient7–130.0316%19 Sept
anubis9–13-0.0826%19 Sept
ancient4–13-0.0516%19 Sept
mirage7–13-0.058%19 Sept
cache10–13-0.0516%19 Sept
nuke4–130.0212%19 Sept
mirage8–13-0.0115%19 Sept
nuke3–13-0.1014%19 Sept
mirage6–13-0.1019%11 Sept
nuke3–13-0.1217%11 Sept
inferno3–13-0.1010%11 Sept
dust26–130.0820%11 Sept
cache13–4-0.0311%11 Sept
ancient13–10-0.0714%11 Sept
inferno9–7-0.0415%11 Sept
nuke7–13-0.0413%11 Sept
inferno13–70.0027%11 Sept
ancient5–13-0.110%5 Sept
dust24–13-0.1029%5 Sept
dust213–9-0.073%5 Sept
inferno8–13-0.0515%5 Sept
ancient13–8-0.0526%5 Sept
mirage1–13-0.074%5 Sept
cache11–13-0.0116%5 Sept
inferno13–11-0.0428%5 Sept
nuke13–7-0.0317%5 Sept
inferno13–7-0.039%5 Sept
nuke16–14-0.0816%25 Aug
anubis1–13-0.0620%25 Aug
vertigo13–7-0.0218%25 Aug
ancient1–13-0.135%25 Aug
cache13–8-0.0420%25 Aug
mirage13–6-0.0113%25 Aug
cache5–13-0.0123%18 Aug
inferno6–13-0.0114%15 Aug
nuke6–13-0.0628%15 Aug
cache4–13-0.0612%13 Aug
nuke13–3-0.0318%13 Aug
vertigo13–10-0.0822%13 Aug
vertigo9–13-0.0316%3 Aug
cache6–13-0.0611%8 Jul
nuke13–8-0.0611%8 Jul
mirage13–11-0.0818%7 Jul
nuke7–13-0.0415%7 Jul
cache11–13-0.0438%7 Jul
mirage10–130.0213%27 Jun
inferno9–13-0.0616%27 Jun
anubis9–13-0.0717%27 Jun
cache7–0-0.0114%27 Jun
nuke10–13-0.034%6 Jun
cache13–7-0.0619%6 Jun
cache13–60.0017%6 May
ancient10–13-0.092%6 May
mirage12–12-0.0415%6 May
overpass8–13-0.069%6 May
nuke8–130.0113%6 May
cache6–13-0.0912%28 Apr
dust23–130.019%28 Apr
vertigo13–100.0012%28 Apr
ancient11–13-0.039%28 Apr
train3–13-0.0317%28 Apr
anubis3–13-0.0410%20 Apr
mirage10–13-0.0519%17 Apr
anubis16–120.0317%17 Apr
mirage13–40.018%17 Apr
inferno13–30.0216%17 Apr
vertigo13–6-0.0721%10 Apr
mirage4–13-0.0821%1 Apr
mirage13–6-0.090%25 Mar
anubis12–16-0.0511%18 Mar
mirage11–13-0.0511%17 Mar
inferno13–8-0.0229%17 Mar
train8–13-0.068%17 Mar
nuke9–13-0.1417%17 Mar
ancient1–13-0.1112%12 Mar
dust24–13-0.0315%12 Mar
dust213–8-0.0515%10 Mar
inferno13–7-0.0713%4 Mar
ancient15–15-0.1111%3 Mar
overpass7–13-0.0811%3 Mar
mirage8–130.0210%1 Mar
inferno5–13-0.1019%27 Feb
anubis11–13-0.0312%27 Feb
mirage10–13-0.0514%27 Feb
dust25–13-0.0223%13 Feb
vertigo9–13-0.0911%24 Jan
nuke7–13-0.0414%24 Jan
dust29–13-0.084%24 Jan
mirage13–9-0.066%17 Jan
mirage9–13-0.0215%17 Jan
overpass11–13-0.0723%17 Jan
ancient8–13-0.089%10 Jan
inferno6–13-0.0717%10 Jan
train7–13-0.0629%10 Jan
dust24–13-0.0418%26 Dec
ancient13–8-0.0423%26 Dec
ancient7–13-0.0324%26 Dec

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 →