MrsEscaped

MrsEscaped — CS2 Stats

AT76561198168803871[U:1:208538143]Steam profile ↗✓ No bans

2,105Tracked matches41%Win rate2020Tracked since
6,668Hours in CS8Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating21,044Top 50% of 200,982 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#65783 of 247850 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 21,044 → 21,044
+3Tracked matches · now 2,105
−3.4ppWin rate · 44.8% → 41.4%

Rating over time

Premier CS Rating: 21,044 +542 13 Jun – 25 Sept · 20 days played
20,50222,728peak 22,72813 Jun25 Sept
23,067Peak Premier in tracked matches
29Days played since 2026-06-10

Premier CS Rating

  • 1,684 below peak (22,728)
  • -1,649 over 30 days · declining
  • +50 over 90 days
  • Next: Red band at 25,000 — 3,956 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-04
  • Purple 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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches3——
Win rate33%——
K/D0.83——
Headshot %47%——

Measured 23 Sep 2026 → 1 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches23——
Win rate26%——
K/D0.78——
Headshot %47%——

Measured 1 Sep 2026 → 1 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate39.9%46.9%49.2%9.4% short
Shot accuracy16.6%13.0%13.4%above
Kill/death ratio0.911.081.120.21 short
Match win rate46.7%46.7%48.5%1.8% short

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

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

Share this profile

CSDB.GGMrsEscapedPREMIER21,044 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning44
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateLLWWWLLWLL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +5.5pp headshot accuracy · +2ms 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 -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 545ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 525ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 524ms

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 (+2 against its own average).

Aim7.6
Utility2.7
Positioning4.4
Opening Duels2.4
Clutch0.2

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

ropz

Plays most like ropz 92% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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 32 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

Aim7.6
Positioning4.4
Utility2.7
Mechanics4.8
Opening Duels2.9
Win Impact2.1

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time529ms−34ms
first ⅓ avg 563ms → last ⅓ avg 529ms
Headshot accuracy21.6%+3.5%
first ⅓ avg 18.1% → last ⅓ avg 21.6%

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

0.12Best match rating · 13–5 · nuke, 29 Jul →
38%Best headshot accuracy · 13–5 · cache, 15 Sept →
406msFastest reaction time · 13–6 · cache, 12 Sept →
13–1Biggest win · cache, 13 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
6–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 71% over 7dust2Weakest map · 21% over 19
MapGradePlayedRecordWin rateAvg rating
infernoC208–1240%-0.04
dust2D194–1521%-0.03
ancientA1710–759%-0.02
cacheC146–843%-0.01
anubisA138–562%-0.03
mirageC83–538%-0.02
nukeS75–271%0.01
vertigo—20–20%-0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

133,113Lifetime kills
0.91K/D
9,045Matches
46.7%Match win rate · Top 50% of Pink band
39.9%Headshot %
16.6%Shot accuracy · Top 25% of Pink band
26,774MVPs
2,674Hours (in match)
6,182Bombs planted
1,314Bombs defused

Most-used weapons

AK-4730,948
AWP25,090
P9010,372
MAC-102,679
MP92,496

Lifetime map wins

15,301inferno
14,249dust2
5,318cbble
3,167train
2,670vertigo
2,463nuke
837office
468lake

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

Faceit stats

Combat

225Matches
51%Win rate
0.85Avg K/D
69.7ADR
42%Headshot %

Clutches & streaks

21%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno2756%0.8313.7
Dust22035%0.7112.5
Ancient1656%0.8714.9
Anubis1547%0.8313.7
Mirage1233%0.7010.4
Train650%0.8316.2
Overpass560%1.2416.0
Cache367%1.1816.7

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.

22.2%Headshot accuracy
33.5%Accuracy (enemy spotted)
34.8%Spray accuracy
71.4%Counter-strafing
8.3°Preaim
519msReaction time
36.2%T opening success
46.6%CT opening success
0.41Enemies flashed / flash
2.4%Flash assists
8.76HE damage / grenade
2.25Flashes / 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 0.4052 — 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 36.2237% — 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.

21% win rate across 19 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
anubis6–13-0.0614%25 Sept →
inferno0–13-0.0620%15 Sept →
mirage13–5-0.0314%15 Sept →
anubis13–3-0.0024%15 Sept →
cache13–50.0638%15 Sept →
dust211–130.0327%14 Sept →
dust28–13-0.0025%14 Sept →
cache13–9-0.0335%14 Sept →
mirage11–130.0122%14 Sept →
dust25–13-0.0332%12 Sept →
cache13–60.0315%12 Sept →
ancient10–13-0.0725%12 Sept →
inferno2–9-0.1310%12 Sept →
nuke7–9-0.098%12 Sept →
inferno9–13-0.0228%10 Sept →
mirage6–13-0.0531%10 Sept →
cache11–13-0.0424%5 Sept →
inferno5–13-0.0218%2 Sept →
cache10–13-0.039%2 Sept →
anubis3–13-0.0427%1 Sept →
inferno13–10-0.0433%1 Sept →
anubis13–8-0.0722%16 Aug →
anubis13–8-0.0519%16 Aug →
dust213–80.0125%16 Aug →
inferno9–130.0121%16 Aug →
ancient6–13-0.0714%16 Aug →
inferno3–13-0.0427%13 Aug →
ancient13–7-0.0315%13 Aug →
dust213–40.0018%13 Aug →
cache13–10.1127%13 Aug →
inferno6–9-0.1116%2 Aug →
nuke6–90.0120%2 Aug →
ancient9–13-0.1313%2 Aug →
dust215–15-0.0811%29 Jul →
cache13–5-0.037%29 Jul →
anubis13–80.0111%29 Jul →
nuke13–50.1217%29 Jul →
anubis11–13-0.0315%29 Jul →
dust29–130.0524%28 Jul →
cache10–130.0116%28 Jul →
nuke13–10.0724%28 Jul →
ancient13–6-0.0713%28 Jul →
nuke13–5-0.0615%28 Jul →
ancient13–40.0515%28 Jul →
nuke13–5-0.0024%26 Jul →
anubis13–40.0315%26 Jul →
cache13–8-0.0414%26 Jul →
cache9–13-0.069%26 Jul →
anubis6–13-0.0515%26 Jul →
cache7–13-0.0624%26 Jul →
ancient13–80.0025%26 Jul →
inferno4–13-0.0733%26 Jul →
ancient13–100.0517%24 Jul →
dust29–13-0.0627%24 Jul →
anubis5–13-0.1013%22 Jul →
inferno16–14-0.0132%22 Jul →
ancient13–11-0.0425%22 Jul →
dust25–13-0.0914%22 Jul →
ancient13–10-0.0122%22 Jul →
nuke13–7-0.0121%22 Jul →
dust211–13-0.0021%22 Jul →
inferno15–15-0.0420%20 Jul →
anubis13–11-0.0322%20 Jul →
inferno13–4-0.0516%20 Jul →
ancient5–13-0.0429%20 Jul →
cache9–13-0.0716%16 Jul →
inferno15–15-0.0117%15 Jul →
cache9–13-0.019%14 Jul →
dust211–13-0.0325%3 Jul →
vertigo7–9-0.1212%3 Jul →
inferno7–9-0.068%3 Jul →
dust215–15-0.057%1 Jul →
dust216–13-0.069%26 Jun →
dust210–13-0.1112%26 Jun →
mirage13–7-0.0218%26 Jun →
inferno16–140.0227%26 Jun →
anubis13–10-0.0530%26 Jun →
inferno10–13-0.0527%26 Jun →
mirage10–13-0.0217%26 Jun →
dust210–13-0.0029%26 Jun →
ancient7–13-0.0713%24 Jun →
ancient13–80.0538%24 Jun →
dust24–13-0.0732%24 Jun →
inferno13–6-0.0327%23 Jun →
ancient15–15-0.0315%23 Jun →
vertigo4–9-0.0821%15 Jun →
inferno9–7-0.0117%15 Jun →
inferno9–7-0.017%15 Jun →
inferno13–3-0.0730%15 Jun →
anubis13–10.037%15 Jun →
dust213–60.0023%15 Jun →
mirage13–30.048%15 Jun →
ancient16–12-0.0214%13 Jun →
dust25–13-0.1115%13 Jun →
mirage6–13-0.0312%13 Jun →
ancient10–13-0.0110%12 Jun →
cache9–130.0513%12 Jun →
ancient13–80.0526%12 Jun →
dust210–13-0.0419%10 Jun →
mirage9–13-0.0222%10 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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