MICKEY MOUSE

MICKEY MOUSE — CS2 Stats

FI76561198293934128[U:1:333668400]Steam profile ↗✓ No bans

962Tracked matches50%Win rate2020Tracked since
3,786Hours in CS20Hrs last 2 wks
CSDB Rating4.9 DevelopingSupport
FaceitLevel 8 · 1,418 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,376 -817 17 Apr – 13 Jun · 11 days played
13,37614,193peak 14,19317 Apr13 Jun
14,468Peak Premier in tracked matches
1,418Highest Faceit ELO seen on CSDB
36Days played since 2026-04-12

Faceit ELO

  • At peak — 1,418
  • Next: Level 8 at 1,531 — 113 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate40.6%46.8%48.2%7.6% short
Shot accuracy13.5%13.0%13.2%above
Kill/death ratio1.061.061.07meets
Match win rate47.3%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMICKEY MOUSEFACEITLevel 8 · 1,418 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,418csdb.gg/stats

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Performance scores

Aim77
Positioning36
Utility46

0–100 skill scores via Leetify.

Recent form

HOT39–55–6Last 10039%Win rateWWWLWWLLWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −1.9pp headshot accuracy · +71ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 613ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 573ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 537ms

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 (+1.4 against its own average).

Aim7.7
Utility4.6
Positioning3.6
Opening Duels1.0
Clutch3.4

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.7
Positioning3.6
Utility4.6
Mechanics6.7
Opening Duels2.4
Win Impact5.0

Composite 4.9/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time523ms−82ms
first ⅓ avg 605ms → last ⅓ avg 523ms
Headshot accuracy17.3%+0.6%
first ⅓ avg 16.7% → last ⅓ avg 17.3%

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

0.17Best match rating · 13–5 · mirage, 21 Sept →
38%Best headshot accuracy · 1–13 · mirage, 31 May →
320msFastest reaction time · 5–0 · inferno, 25 Sept →
13–1Biggest win · mirage, 2 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
3–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 46% over 28ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2813–1546%0.01
infernoC2610–1638%-0.00
ancientD144–1029%-0.02
cacheC135–838%-0.00
anubisD93–633%0.00
dust2—41–325%-0.02
nuke—32–167%0.03
vertigo—10–10%-0.20
overpass—11–0100%-0.03
train—10–10%0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,426Lifetime kills
1.06K/D · Top 50% of Level 8 players
5,269Matches
47.3%Match win rate · Top 50% of Level 8 players
40.6%Headshot %
13.5%Shot accuracy · Top 50% of Level 8 players
13,674MVPs
1,952Hours (in match)
2,961Bombs planted
1,223Bombs defused

Most-used weapons

AK-4725,298
AWP8,201
MP93,021
SSG 082,989
AUG1,992

Lifetime map wins

16,040inferno
4,478dust2
1,591nuke
1,446vertigo
858cbble
667train
268office
212lake

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

Faceit stats

Combat

736Matches
51%Win rate
0.90Avg K/D
72.5ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
11%1v2 clutch win
16Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage17150%0.8211.5
Inferno11753%0.9314.1
Ancient11250%0.8912.8
Anubis7455%0.8012.5
Dust21457%0.8011.8
Vertigo1060%0.7810.6
Overpass714%0.578.9
Nuke2100%0.9911.5

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.

17.0%Headshot accuracy
36.4%Accuracy (enemy spotted)
32.4%Spray accuracy
80.3%Counter-strafing
8.5°Preaim
523msReaction time
43.1%T opening success
35.8%CT opening success
0.35Enemies flashed / flash
2.8%Flash assists
7.10HE damage / grenade
7.16Flashes / 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 0.3547 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 35.8209% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–80.0112%26 Oct →
ancient13–80.0116%26 Oct →
anubis13–2-0.050%26 Oct →
inferno9–13-0.0621%26 Oct →
mirage13–6-0.0317%26 Oct →
inferno13–30.0415%26 Oct →
cache10–13-0.094%25 Oct →
ancient5–130.0128%25 Oct →
anubis13–70.0118%25 Oct →
nuke13–70.0212%25 Oct →
mirage9–13-0.0216%25 Oct →
anubis13–20.1113%25 Oct →
ancient10–13-0.058%25 Oct →
cache8–13-0.0027%25 Oct →
cache13–8-0.0521%24 Oct →
mirage13–100.0110%24 Oct →
dust213–60.0621%24 Oct →
inferno9–13-0.0413%24 Oct →
mirage11–13-0.0516%24 Oct →
ancient9–13-0.0416%23 Oct →
anubis9–13-0.0717%23 Oct →
ancient13–60.0127%23 Oct →
inferno10–13-0.0613%23 Oct →
mirage13–8-0.0612%23 Oct →
ancient12–12-0.0422%23 Oct →
inferno13–30.0222%16 Oct →
inferno4–130.0034%16 Oct →
ancient12–12-0.0424%11 Oct →
inferno3–13-0.1214%11 Oct →
ancient11–13-0.0325%10 Oct →
mirage4–3-0.0129%10 Oct →
inferno13–7-0.0018%10 Oct →
inferno8–130.0315%10 Oct →
inferno4–13-0.0810%9 Oct →
inferno13–40.0420%9 Oct →
inferno13–9-0.0019%1 Oct →
nuke15–15-0.008%30 Sept →
ancient11–13-0.0210%30 Sept →
inferno5–00.1130%25 Sept →
inferno11–130.0323%25 Sept →
dust23–13-0.0825%24 Sept →
mirage13–50.1724%21 Sept →
mirage13–9-0.0218%3 Sept →
inferno6–13-0.0033%3 Sept →
mirage11–13-0.0323%3 Sept →
mirage13–60.1224%27 Aug →
mirage13–8-0.0520%1 Jul →
inferno9–13-0.0622%1 Jul →
inferno5–90.0516%1 Jul →
mirage11–130.0320%30 Jun →
inferno12–160.0426%29 Jun →
mirage5–130.0219%28 Jun →
cache8–130.0016%28 Jun →
vertigo5–9-0.2011%28 Jun →
anubis9–130.0116%13 Jun →
inferno8–13-0.0111%12 Jun →
cache13–90.1220%12 Jun →
anubis6–130.0412%12 Jun →
overpass5–5-0.039%12 Jun →
mirage9–130.0315%12 Jun →
dust25–130.0215%12 Jun →
inferno12–12-0.0516%12 Jun →
mirage6–13-0.0221%12 Jun →
mirage13–10-0.0116%11 Jun →
cache10–130.1613%31 May →
cache10–130.0119%31 May →
mirage1–13-0.0138%31 May →
mirage3–13-0.0214%31 May →
inferno8–10.0221%23 May →
mirage11–13-0.0419%22 May →
inferno13–110.0325%22 May →
inferno5–13-0.0313%22 May →
cache1–13-0.0716%22 May →
mirage6–130.0526%17 May →
ancient13–4-0.0221%17 May →
mirage13–20.128%16 May →
ancient16–120.004%15 May →
inferno13–50.0814%15 May →
cache6–13-0.0619%15 May →
cache13–7-0.0411%9 May →
anubis11–13-0.0615%9 May →
mirage13–30.1117%9 May →
cache13–6-0.0011%9 May →
mirage6–13-0.0614%9 May →
inferno13–5-0.0223%9 May →
ancient6–13-0.0528%9 May →
anubis7–13-0.0016%9 May →
cache13–8-0.0218%8 May →
cache8–130.0221%8 May →
mirage13–10.0114%2 May →
nuke16–130.0719%2 May →
mirage5–13-0.044%26 Apr →
ancient14–160.0316%23 Apr →
train11–130.0924%23 Apr →
anubis15–150.0416%19 Apr →
dust24–13-0.0915%17 Apr →
mirage9–13-0.0519%17 Apr →
inferno4–13-0.014%12 Apr →
mirage12–12-0.0216%12 Apr →
ancient1–13-0.0529%12 Apr →

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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