Mouse

Mouse — CS2 Stats

NF76561199178686616[U:1:1218420888]Steam profile ↗✓ No bans

519Tracked matches40%Win rate2022Tracked since
513Hours in CS4Hrs last 2 wks
CSDB Rating3.7 LearningPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,463 -624 22 Mar – 22 Jun · 31 days played
12,01414,697peak 14,69722 Mar22 Jun
14,999Peak Premier in tracked matches
35Days played since 2026-03-22

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches5——
Win rate60%——
K/D0.61——
Headshot %40%——

Measured 31 Aug 2026 → 3 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,051), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate35.6%41.8%42.7%7.1% short
Shot accuracy14.6%12.2%11.3%above
Kill/death ratio0.920.980.990.08 short
Match win rate38.9%43.3%43.9%5.0% short

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

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMouseFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim52
Positioning39
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY45–55Last 10045%Win rateWLWLWLLLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.8pp headshot accuracy · −31ms 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 -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 559ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 570ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 585ms

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 (+1.6 against its own average).

Aim5.2
Utility2.5
Positioning3.9
Opening Duels0.4

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

sh1ro

Plays most like sh1ro 90% 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. 592ms 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

Aim5.2
Positioning3.9
Utility2.5
Mechanics4.7
Opening Duels0.8
Win Impact1.7

Composite 3.7/10 (Learning), 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 -0.04 → last ⅓ avg -0.04
Reaction time588ms−31ms
first ⅓ avg 619ms → last ⅓ avg 588ms
Headshot accuracy12.4%+4.1%
first ⅓ avg 8.3% → last ⅓ avg 12.4%

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

0.08Best match rating · 13–1 · anubis, 7 Jun →
33%Best headshot accuracy · 5–13 · inferno, 31 May →
438msFastest reaction time · 5–13 · inferno, 31 May →
13–1Biggest win · anubis, 7 Jun →

Across the last 100 tracked matches.

Highlights

3Longest win streak
15–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 62% over 13mirageWeakest map · 38% over 24
MapGradePlayedRecordWin rateAvg rating
mirageC249–1538%-0.02
nukeC177–1041%-0.04
infernoB168–850%-0.04
overpassA148–657%-0.04
ancientA138–562%-0.01
anubisB105–550%-0.03
dust2—30–30%-0.01
cache—20–20%-0.06
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 24). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,487Lifetime kills
0.92K/D
872Matches
38.9%Match win rate
35.6%Headshot %
14.6%Shot accuracy · Top 50% of Level 3 players
1,160MVPs
271Hours (in match)
494Bombs planted
116Bombs defused

Most-used weapons

Lifetime map wins

1,266dust2
938inferno
603nuke
294vertigo
37train
10cbble
7lake
4office

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

Faceit stats

Combat

4Matches
25%Win rate
0.88Avg K/D
—ADR
22%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

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.

12.8%Headshot accuracy
32.6%Accuracy (enemy spotted)
37.7%Spray accuracy
71.3%Counter-strafing
10.2°Preaim
592msReaction time
29.5%T opening success
36.2%CT opening success
0.28Enemies flashed / flash
7.0%Flash assists
7.97HE damage / grenade
2.09Flashes / 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 12.7839% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2782 — below the 0.5 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 29.5418% — below the 40% mark we flag

Spend your practice time on Mirage

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 24 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–6-0.068%1 Oct →
nuke5–13-0.116%1 Oct →
anubis16–12-0.024%27 Sept →
cache10–13-0.0623%27 Sept →
ancient13–3-0.0410%27 Sept →
mirage10–130.015%13 Jul →
anubis6–13-0.0511%13 Jul →
ancient5–13-0.023%22 Jun →
nuke13–11-0.0015%13 Jun →
mirage13–11-0.0219%9 Jun →
ancient13–6-0.0215%9 Jun →
overpass5–13-0.0110%9 Jun →
inferno16–14-0.0512%7 Jun →
nuke13–110.0113%7 Jun →
mirage6–13-0.036%7 Jun →
anubis13–10.0811%7 Jun →
vertigo10–13-0.0417%3 Jun →
cache11–13-0.0617%3 Jun →
anubis6–13-0.0115%2 Jun →
overpass13–11-0.0614%31 May →
ancient9–13-0.0516%31 May →
inferno5–13-0.1033%31 May →
overpass13–11-0.0413%31 May →
mirage9–13-0.0118%31 May →
mirage7–13-0.1016%24 May →
mirage13–80.025%24 May →
inferno8–13-0.0723%18 May →
nuke8–13-0.0410%17 May →
inferno5–13-0.1210%17 May →
ancient7–13-0.049%17 May →
inferno13–10-0.0513%12 May →
mirage13–3-0.0510%12 May →
inferno10–13-0.085%10 May →
overpass13–8-0.0513%10 May →
anubis10–13-0.056%10 May →
ancient16–14-0.0115%10 May →
nuke11–13-0.0610%7 May →
mirage13–10-0.0411%7 May →
inferno6–130.012%7 May →
mirage16–14-0.015%7 May →
ancient16–140.027%7 May →
inferno4–13-0.076%7 May →
nuke9–13-0.059%5 May →
mirage8–13-0.0419%3 May →
overpass13–11-0.038%3 May →
nuke13–11-0.047%3 May →
mirage4–130.028%3 May →
ancient13–110.076%2 May →
inferno14–16-0.0117%2 May →
ancient16–130.0115%30 Apr →
inferno13–6-0.018%30 Apr →
mirage6–13-0.0517%25 Apr →
nuke7–13-0.0213%25 Apr →
overpass13–11-0.056%25 Apr →
mirage3–13-0.0417%25 Apr →
overpass13–9-0.053%12 Apr →
nuke13–70.0214%12 Apr →
inferno12–160.026%12 Apr →
mirage13–7-0.0410%12 Apr →
mirage13–40.0313%12 Apr →
mirage7–130.0514%12 Apr →
ancient13–9-0.038%12 Apr →
overpass8–13-0.025%10 Apr →
dust211–130.0013%10 Apr →
nuke13–7-0.046%9 Apr →
nuke8–13-0.0215%6 Apr →
mirage6–13-0.025%6 Apr →
nuke9–13-0.027%6 Apr →
ancient5–13-0.077%5 Apr →
mirage13–8-0.053%5 Apr →
nuke9–13-0.028%5 Apr →
dust29–130.0217%4 Apr →
nuke9–13-0.107%4 Apr →
inferno16–13-0.047%4 Apr →
overpass13–11-0.0610%4 Apr →
nuke13–16-0.0611%2 Apr →
mirage5–13-0.0512%2 Apr →
anubis13–70.0318%30 Mar →
overpass8–13-0.078%30 Mar →
mirage2–13-0.096%29 Mar →
overpass11–13-0.0213%29 Mar →
anubis13–10-0.068%29 Mar →
inferno4–0-0.080%29 Mar →
mirage3–130.018%29 Mar →
overpass9–13-0.109%28 Mar →
ancient8–130.0210%28 Mar →
mirage6–2-0.040%27 Mar →
anubis12–16-0.096%27 Mar →
mirage4–13-0.0312%27 Mar →
inferno13–100.0110%27 Mar →
inferno13–5-0.026%27 Mar →
anubis11–13-0.080%26 Mar →
dust24–13-0.068%26 Mar →
overpass16–14-0.083%26 Mar →
nuke13–70.027%26 Mar →
ancient13–9-0.0312%23 Mar →
mirage14–16-0.019%23 Mar →
overpass5–130.0312%22 Mar →
anubis13–60.0010%22 Mar →
inferno13–5-0.009%22 Mar →

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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