Squee!

Squee! — CS2 Stats

76561198957051318[U:1:996785590]Steam profile ↗✓ No bans

676Tracked matches57%Win rate2021Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating4,535Grey band · top ~80.8% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 4,535 -3,573 12 Feb – 11 Oct · 20 days played
3,5508,108peak 8,10812 Feb11 Oct
8,108Peak Premier in tracked matches
37Days played since 2026-01-29

Premier CS Rating

  • 3,573 below peak (8,108)
  • Next: Light Blue band at 5,000 — 465 to go
  • Reached: Light Blue band

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

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CSDB.GGSquee!PREMIER4,535 · Grey bandcsdb.gg/stats

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Performance scores

Aim51
Positioning57
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLWLLWWLLWW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +4.1pp headshot accuracy · −81ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 656ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 655ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 695ms

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 Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim5.1
Utility4.9
Positioning5.7
Opening Duels2.2

Strong CT-side openerLimited 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

ZywOo

Plays most like ZywOo 77% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 687ms 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

Aim5.1
Positioning5.7
Utility4.9
Mechanics7.4
Opening Duels2.9
Win Impact7.2

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time692ms−72ms
first ⅓ avg 763ms → last ⅓ avg 692ms
Headshot accuracy16.6%−1.5%
first ⅓ avg 18.1% → 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

0.15Best match rating · 13–3 · dust2, 14 Aug →
50%Best headshot accuracy · 3–13 · dust2, 4 Mar →
438msFastest reaction time · 12–12 · office, 10 Aug →
13–0Biggest win · office, 31 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 69% over 13nukeWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B3215–1747%-0.02
mirageC167–944%-0.02
anubisS139–469%-0.01
nukeD112–918%-0.05
vertigoB63–350%-0.03
ancientD62–433%-0.00
officeC52–340%0.00
overpass—42–250%-0.02
inferno—20–20%-0.04
cache—20–20%-0.01
train—22–0100%-0.03
italy—10–10%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

16.8%Headshot accuracy
34.7%Accuracy (enemy spotted)
32.0%Spray accuracy
83.2%Counter-strafing
11.8°Preaim
687msReaction time
35.7%T opening success
47.8%CT opening success
0.51Enemies flashed / flash
13.0%Flash assists
14.77HE damage / grenade
2.75Flashes / 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

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

    Flashes per match 2.7535 — below the 4 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 35.7253% — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–130.0314%11 Oct →
dust213–4-0.0217%11 Oct →
dust211–13-0.0411%11 Oct →
inferno7–13-0.0221%9 Oct →
anubis13–90.0030%9 Oct →
mirage13–4-0.0221%9 Oct →
nuke8–13-0.1213%9 Oct →
dust29–13-0.0614%9 Oct →
anubis13–50.0323%9 Oct →
anubis13–20.0931%9 Oct →
dust213–6-0.0414%9 Oct →
anubis3–13-0.0715%7 Oct →
nuke8–13-0.0723%7 Oct →
mirage13–16-0.0216%7 Oct →
anubis13–90.0119%7 Oct →
dust213–110.0216%7 Oct →
mirage3–13-0.098%6 Oct →
vertigo13–90.0011%24 Sept →
dust213–9-0.0216%20 Sept →
dust213–9-0.0317%19 Sept →
dust213–10.0221%19 Sept →
nuke13–110.0016%19 Sept →
inferno13–16-0.0622%19 Sept →
mirage13–90.0019%19 Sept →
dust213–70.0215%19 Sept →
cache11–13-0.0313%16 Sept →
dust213–60.0222%10 Sept →
nuke11–13-0.1114%10 Sept →
dust213–110.0213%28 Aug →
mirage13–16-0.049%27 Aug →
anubis13–9-0.0513%27 Aug →
ancient7–13-0.0511%27 Aug →
italy8–13-0.0612%24 Aug →
train13–70.015%24 Aug →
vertigo6–13-0.0215%24 Aug →
dust27–13-0.0318%14 Aug →
dust213–30.1516%14 Aug →
office12–12-0.0115%10 Aug →
office9–13-0.0119%10 Aug →
office13–20.0626%10 Aug →
nuke13–16-0.0521%5 Aug →
anubis13–60.028%5 Aug →
cache9–130.0115%5 Aug →
dust210–13-0.0130%5 Aug →
office12–12-0.0218%31 Jul →
train13–6-0.0615%31 Jul →
office13–0-0.0133%31 Jul →
nuke2–13-0.076%30 Jul →
vertigo13–9-0.0211%30 Jul →
vertigo9–13-0.0113%30 Jul →
ancient16–12-0.0024%30 Jul →
nuke3–13-0.0223%30 Jul →
dust28–13-0.0311%30 Jul →
anubis13–5-0.0118%27 Jul →
dust211–13-0.0313%27 Jul →
mirage0–13-0.109%27 Jul →
dust28–13-0.0616%8 Jun →
ancient5–13-0.0117%8 Jun →
mirage7–13-0.0116%22 May →
overpass5–13-0.0619%7 May →
dust213–1-0.0119%27 Apr →
dust28–13-0.0515%27 Apr →
dust210–13-0.0615%27 Apr →
mirage16–12-0.0610%11 Apr →
mirage3–13-0.0222%31 Mar →
overpass13–10.0620%31 Mar →
mirage13–8-0.0020%31 Mar →
anubis16–130.0221%27 Mar →
ancient13–80.0019%27 Mar →
dust215–15-0.0515%22 Mar →
nuke13–3-0.0818%22 Mar →
dust23–13-0.0318%22 Mar →
dust213–30.0923%22 Mar →
nuke15–150.0216%22 Mar →
dust28–130.0013%18 Mar →
dust23–13-0.0621%18 Mar →
nuke6–13-0.0424%17 Mar →
mirage5–13-0.0221%17 Mar →
mirage3–13-0.0318%16 Mar →
dust213–11-0.0118%16 Mar →
ancient6–130.0721%4 Mar →
dust23–13-0.0550%4 Mar →
overpass9–13-0.0731%4 Mar →
anubis7–13-0.086%13 Feb →
dust25–13-0.0714%13 Feb →
dust27–13-0.0617%13 Feb →
anubis10–13-0.0427%13 Feb →
vertigo8–13-0.054%12 Feb →
vertigo13–7-0.0724%12 Feb →
dust213–10-0.0113%12 Feb →
mirage13–20.0514%12 Feb →
mirage13–5-0.0113%9 Feb →
overpass13–6-0.0115%7 Feb →
anubis2–13-0.1019%4 Feb →
dust25–13-0.0810%4 Feb →
dust213–100.0310%30 Jan →
mirage16–12-0.0117%30 Jan →
nuke10–13-0.0511%30 Jan →
anubis13–100.0116%29 Jan →
ancient5–13-0.0322%29 Jan →

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 →

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