Rat in cage (despite rage)

Rat in cage (despite rage) — CS2 Stats

AU76561198092591997[U:1:132326269]Steam profile ↗✓ No bans

1,402Tracked matches62%Win rate2021Tracked since
2,252Hours in CS9Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating13,479Blue band · top ~36.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 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.

Rating over time

Premier CS Rating: 13,479 -1,520 28 Jun – 28 Oct · 39 days played
10,94814,999peak 14,99928 Jun28 Oct
14,999Peak Premier in tracked matches
509Highest Faceit ELO seen on CSDB
58Days played since 2026-06-28

Faceit ELO

  • At peak — 509
  • Next: Level 3 at 751 — 242 to go
  • Reached: Level 2
  • Level 2 first seen 2026-09-04

Premier CS Rating

  • 1,520 below peak (14,999)
  • +1,266 over 30 days · improving
  • -83 over 90 days
  • Next: Purple band at 15,000 — 1,521 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-04
  • Light Blue band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate45.2%42.0%44.4%meets
Shot accuracy9.5%9.6%11.9%2.4% short
Kill/death ratio0.900.981.030.13 short
Match win rate39.1%43.8%45.2%6.1% short

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

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRat in cage (despite rage)PREMIER13,479 · Blue bandPEAK ELO509csdb.gg/stats

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Performance scores

Aim58
Positioning50
Utility46

0–100 skill scores via Leetify.

Recent form

HOT37–58–5Last 10037%Win rateWLWWLWWWWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −1.4pp headshot accuracy · −4ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 642ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 652ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 654ms

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).

Aim5.8
Utility4.6
Positioning5.0
Opening Duels1.2
Clutch3.6

Strong CT-side opener

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

iM

Plays most like iM 84% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 662ms 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

Aim5.8
Positioning5.0
Utility4.6
Mechanics7.0
Opening Duels2.6
Win Impact9.0

Composite 5.4/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time657ms−54ms
first ⅓ avg 711ms → last ⅓ avg 657ms
Headshot accuracy13.9%+0.8%
first ⅓ avg 13.1% → last ⅓ avg 13.9%

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 · 13–10 · inferno, 26 Aug →
32%Best headshot accuracy · 4–13 · mirage, 3 Oct →
477msFastest reaction time · 13–1 · cache, 13 Oct →
13–1Biggest win · cache, 13 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–10In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 57% over 14dust2Weakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
mirageC2812–1643%-0.02
nukeC187–1139%-0.03
dust2D164–1225%-0.05
cacheA148–657%-0.01
ancientD82–625%-0.04
infernoD72–529%-0.02
anubisD72–529%-0.04
train—20–20%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,719Lifetime kills
0.90K/D
2,285Matches
39.1%Match win rate
45.2%Headshot % · Top 50% of Blue band
9.5%Shot accuracy
2,921MVPs
934Hours (in match)
2,435Bombs planted
550Bombs defused

Most-used weapons

Lifetime map wins

5,336dust2
2,724inferno
2,268nuke
760vertigo
651train
37office
27lake
23ar_shoots

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

Faceit stats

Combat

90Matches
37%Win rate
0.62Avg K/D
56.7ADR
33%Headshot %

Clutches & streaks

38%1v1 clutch win
29%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1050%0.6911.1
Nuke850%0.718.6
Dust2743%0.6010.0
Ancient714%0.516.1
Vertigo425%0.6611.0
Inferno333%0.599.7
Anubis10%1.0011.0

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.

13.5%Headshot accuracy
35.0%Accuracy (enemy spotted)
36.6%Spray accuracy
81.6%Counter-strafing
10.1°Preaim
662msReaction time
38.0%T opening success
42.9%CT opening success
0.47Enemies flashed / flash
5.7%Flash assists
8.86HE damage / grenade
7.30Flashes / 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 13.4605% — 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 0.4669 — 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 38.0225% — 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.

25% win rate across 16 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
cache13–7-0.0014%28 Oct →
nuke6–13-0.0512%27 Oct →
cache13–100.0716%26 Oct →
nuke13–4-0.0617%26 Oct →
mirage10–130.0223%22 Oct →
dust213–10-0.039%21 Oct →
mirage13–10-0.077%21 Oct →
mirage13–2-0.0732%19 Oct →
nuke13–4-0.046%14 Oct →
mirage7–13-0.0211%14 Oct →
dust26–13-0.0724%13 Oct →
cache13–1-0.050%13 Oct →
mirage14–16-0.0519%7 Oct →
dust213–8-0.0112%7 Oct →
inferno9–13-0.0214%6 Oct →
cache13–8-0.0424%4 Oct →
cache13–30.049%4 Oct →
mirage11–13-0.0310%3 Oct →
mirage4–13-0.0332%3 Oct →
dust28–13-0.0314%2 Oct →
nuke13–30.0326%2 Oct →
mirage13–70.0310%2 Oct →
anubis10–13-0.0118%1 Oct →
ancient13–7-0.0515%26 Sept →
nuke13–100.005%26 Sept →
inferno10–13-0.045%25 Sept →
mirage15–15-0.063%25 Sept →
mirage13–70.0413%25 Sept →
mirage13–50.0113%21 Sept →
mirage13–110.004%19 Sept →
nuke14–16-0.0110%19 Sept →
mirage10–13-0.0617%18 Sept →
inferno11–13-0.0417%18 Sept →
mirage8–13-0.058%17 Sept →
nuke13–11-0.0515%17 Sept →
dust211–13-0.049%14 Sept →
anubis6–13-0.038%12 Sept →
dust25–13-0.0613%12 Sept →
anubis5–13-0.0612%7 Sept →
mirage4–13-0.0228%7 Sept →
cache13–80.0316%7 Sept →
nuke13–16-0.054%4 Sept →
dust211–13-0.0613%4 Sept →
cache13–40.0118%3 Sept →
nuke14–16-0.0617%2 Sept →
mirage16–120.079%30 Aug →
nuke9–13-0.0810%29 Aug →
anubis6–13-0.068%29 Aug →
dust213–6-0.0324%29 Aug →
mirage9–13-0.0221%27 Aug →
nuke10–13-0.048%27 Aug →
nuke6–13-0.0616%27 Aug →
inferno13–100.0818%26 Aug →
mirage14–160.0424%22 Aug →
nuke16–12-0.0117%18 Aug →
mirage3–13-0.1025%16 Aug →
cache15–15-0.079%14 Aug →
inferno13–11-0.045%14 Aug →
dust23–13-0.1027%14 Aug →
dust213–5-0.0314%13 Aug →
nuke10–13-0.059%11 Aug →
mirage6–13-0.1010%11 Aug →
ancient15–15-0.0215%10 Aug →
dust211–13-0.0618%8 Aug →
mirage16–140.028%8 Aug →
dust28–13-0.0217%7 Aug →
mirage13–100.0218%7 Aug →
ancient3–13-0.1027%6 Aug →
train7–13-0.0511%6 Aug →
mirage6–13-0.0820%3 Aug →
cache15–15-0.0213%1 Aug →
mirage13–50.007%1 Aug →
dust212–160.0112%29 Jul →
dust21–13-0.099%29 Jul →
nuke12–120.0213%28 Jul →
nuke13–8-0.037%25 Jul →
cache3–13-0.0313%25 Jul →
nuke6–13-0.025%25 Jul →
inferno8–13-0.044%24 Jul →
mirage13–60.029%24 Jul →
ancient8–13-0.057%24 Jul →
ancient13–30.0322%18 Jul →
cache13–16-0.009%18 Jul →
mirage2–13-0.0713%15 Jul →
dust23–13-0.107%15 Jul →
cache8–13-0.0419%14 Jul →
anubis13–8-0.0214%12 Jul →
inferno10–13-0.0712%11 Jul →
cache13–50.0318%10 Jul →
mirage4–13-0.047%10 Jul →
dust211–13-0.0622%10 Jul →
train4–130.0424%8 Jul →
ancient2–13-0.095%8 Jul →
nuke3–13-0.078%7 Jul →
ancient5–13-0.0220%6 Jul →
mirage13–80.0219%5 Jul →
ancient1–13-0.0411%5 Jul →
anubis7–13-0.0612%29 Jun →
cache8–13-0.0217%28 Jun →
anubis13–6-0.0418%28 Jun →

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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