mrsdidasco

mrsdidasco — CS2 Stats

DE76561199809945496[U:1:1849679768]Steam profile ↗✓ No bans

1,144Tracked matches41%Win rate2025Tracked since
1,185Hours in CS47Hrs last 2 wks
CSDB Rating3.8 LearningPositional Player
Premier CS Rating2,117Grey band · top ~91% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 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: 2,117 -56 24 Sept – 13 Oct · 10 days played
1,8133,142peak 3,14224 Sept13 Oct
3,258Peak Premier in tracked matches
15Days played since 2026-09-20

Premier CS Rating

  • 1,025 below peak (3,142)
  • Next: Light Blue band at 5,000 — 2,883 to go

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
Matches139——
Win rate41%——
K/D0.94——
Headshot %45%——

Measured 12 Sep 2026 → 14 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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate37.9%38.2%39.9%2.0% short
Shot accuracy0.1%3.6%7.0%6.8% short
Kill/death ratio0.850.830.920.07 short
Match win rate42.1%40.2%42.3%meets

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

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

Share this profile

CSDB.GGmrsdidascoPREMIER2,117 · Grey bandcsdb.gg/stats

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Performance scores

Aim63
Positioning28
Utility8

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateLWLLWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +5.3pp headshot accuracy · 0ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 714ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 726ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 726ms

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).

Aim6.3
Utility0.8
Positioning2.8
Opening Duels0.0

Excellent counter-strafingLimited 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 89% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Strengths

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 34 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.

Reaction time. 730ms 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

Aim6.3
Positioning2.8
Utility0.8
Mechanics9.4
Opening Duels0.0
Win Impact2.1

Composite 3.8/10 (Learning), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time740ms−25ms
first ⅓ avg 765ms → last ⅓ avg 740ms
Headshot accuracy19.3%−0.2%
first ⅓ avg 19.5% → last ⅓ avg 19.3%

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

0.18Best match rating · 2–3 · inferno, 20 Sept →
100%Best headshot accuracy · 5–0 · mirage, 26 Sept →
516msFastest reaction time · 4–13 · ancient, 13 Oct →
13–0Biggest win · cache, 25 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 57% over 14anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC228–1436%0.01
infernoA1810–856%0.03
mirageC167–944%-0.02
cacheA148–657%0.03
dust2C94–544%-0.05
ancientB84–450%0.01
anubisD72–529%-0.01
train—31–233%0.00
office—21–150%-0.01
overpass—11–0100%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,040Lifetime kills
0.85K/D · Top 50% of Grey band
1,484Matches
42.1%Match win rate · Top 50% of Grey band
37.9%Headshot %
0.1%Shot accuracy
2,275MVPs
572Hours (in match)
1,069Bombs planted
329Bombs defused

Most-used weapons

Lifetime map wins

2,978dust2
1,888nuke
1,312inferno
153train
152office
40vertigo
13italy
5ar_shoots

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

Skill profile

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

19.9%Headshot accuracy
39.5%Accuracy (enemy spotted)
32.2%Spray accuracy
92.1%Counter-strafing
12.9°Preaim
730msReaction time
27.5%T opening success
22.3%CT opening success
0.12Enemies flashed / flash
0.0%Flash assists
4.99HE damage / grenade
0.27Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.9099° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 730.3389ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.1227 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.0329%13 Oct →
mirage13–110.0323%13 Oct →
anubis13–16-0.0124%13 Oct →
mirage10–13-0.0315%12 Oct →
inferno13–9-0.0426%12 Oct →
anubis13–110.1333%12 Oct →
inferno7–130.1223%12 Oct →
ancient13–90.0713%12 Oct →
nuke13–30.0417%12 Oct →
nuke3–130.0014%7 Oct →
inferno13–50.0319%7 Oct →
overpass13–50.0516%7 Oct →
cache13–60.0318%7 Oct →
ancient6–13-0.0112%6 Oct →
nuke3–60.067%6 Oct →
cache4–13-0.0427%6 Oct →
dust27–13-0.1025%5 Oct →
nuke9–13-0.097%5 Oct →
mirage5–13-0.0612%5 Oct →
anubis10–13-0.0222%5 Oct →
ancient10–130.0127%5 Oct →
nuke13–40.1725%5 Oct →
train9–130.0212%5 Oct →
nuke5–130.0116%5 Oct →
mirage12–12-0.0814%4 Oct →
dust213–5-0.0136%4 Oct →
dust213–100.0215%4 Oct →
cache4–13-0.0830%4 Oct →
dust24–13-0.0415%4 Oct →
dust213–11-0.0221%4 Oct →
ancient8–13-0.0612%4 Oct →
cache8–10.1010%4 Oct →
cache10–130.0824%4 Oct →
inferno10–130.0410%3 Oct →
anubis8–13-0.0614%3 Oct →
nuke9–130.0420%3 Oct →
inferno6–13-0.0124%3 Oct →
nuke11–130.0013%3 Oct →
nuke8–13-0.0418%3 Oct →
cache12–12-0.0018%2 Oct →
cache10–00.078%2 Oct →
office13–5-0.0238%2 Oct →
inferno8–130.0118%2 Oct →
nuke13–4-0.0030%2 Oct →
ancient13–60.0123%2 Oct →
mirage13–5-0.0223%2 Oct →
mirage9–130.0314%1 Oct →
inferno5–9-0.0233%1 Oct →
dust213–16-0.1120%1 Oct →
mirage11–13-0.0225%1 Oct →
anubis13–11-0.0323%1 Oct →
cache8–130.0922%1 Oct →
train7–13-0.0314%30 Sept →
inferno13–9-0.0113%30 Sept →
nuke12–12-0.0421%30 Sept →
cache13–5-0.0214%30 Sept →
dust23–13-0.1033%28 Sept →
nuke13–20.0413%28 Sept →
ancient13–80.0015%28 Sept →
office9–130.018%28 Sept →
nuke7–20.0123%28 Sept →
mirage9–13-0.0210%28 Sept →
mirage5–4-0.075%28 Sept →
train13–110.0212%28 Sept →
cache4–13-0.0331%28 Sept →
inferno13–40.0112%28 Sept →
inferno10–130.0125%26 Sept →
inferno9–70.0821%26 Sept →
nuke13–90.0216%26 Sept →
nuke13–2-0.043%26 Sept →
mirage5–0-0.04100%26 Sept →
mirage16–13-0.0410%26 Sept →
dust213–6-0.0124%26 Sept →
inferno13–60.0425%26 Sept →
inferno13–100.0213%26 Sept →
inferno8–8-0.0013%26 Sept →
nuke4–13-0.0112%26 Sept →
mirage2–13-0.0717%25 Sept →
anubis3–13-0.0512%25 Sept →
inferno13–10-0.0416%25 Sept →
mirage6–130.0220%25 Sept →
nuke11–130.0515%25 Sept →
mirage13–30.107%25 Sept →
ancient13–70.0714%25 Sept →
cache13–40.0622%25 Sept →
nuke9–130.0013%25 Sept →
cache13–00.0712%25 Sept →
mirage13–10-0.0220%24 Sept →
dust22–13-0.0533%24 Sept →
cache13–30.0811%24 Sept →
anubis5–13-0.0510%24 Sept →
nuke9–13-0.0213%24 Sept →
mirage6–13-0.0319%24 Sept →
nuke12–120.0314%24 Sept →
cache13–30.0421%20 Sept →
inferno10–60.0231%20 Sept →
inferno13–30.1128%20 Sept →
inferno2–30.1821%20 Sept →
nuke6–00.0627%20 Sept →
nuke12–12-0.0010%20 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.