moskvic2.0

moskvic2.0 — CS2 Stats

76561199836787610[U:1:1876521882]Steam profile ↗✓ No bans

984Tracked matches41%Win rate2025Tracked since
CSDB Rating2.3 LearningSupport
Premier CS Rating11,284Blue band · top ~48.1% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Aug 2026 (60 days ago). 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: 11,284 +1,799 28 May – 3 Aug · 8 days played
8,82211,525peak 11,52528 May3 Aug
11,525Peak Premier in tracked matches
837Highest Faceit ELO seen on CSDB
50Days played since 2026-05-28

Faceit ELO

  • At peak — 837
  • Next: Level 4 at 901 — 64 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 241 below peak (11,525)
  • +1,284 over 30 days · improving
  • Next: Purple band at 15,000 — 3,716 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGmoskvic2.0PREMIER11,284 · Blue bandPEAK ELO837csdb.gg/stats

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Performance scores

Aim19
Positioning35
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateWTLWLWLWLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +0.9pp headshot accuracy · −13ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 602ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 574ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 580ms

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 (+2.8 against its own average).

Aim1.9
Utility6.2
Positioning3.5
Opening Duels0.0
Clutch4.0

Effective flashes

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.

Strengths & areas to improve

Strengths

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 580ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 49% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.9
Positioning3.5
Utility6.2
Mechanics0.0
Opening Duels0.0
Win Impact2.1

Composite 2.3/10 (Learning), 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-0.00−0.05
first ⅓ avg 0.05 → last ⅓ avg -0.00
Reaction time588ms−36ms
first ⅓ avg 624ms → last ⅓ avg 588ms
Headshot accuracy12.5%−1.3%
first ⅓ avg 13.9% → last ⅓ avg 12.5%

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

0.24Best match rating · 13–1 · overpass, 5 Jun →
40%Best headshot accuracy · 1–13 · italy, 3 Jul →
438msFastest reaction time · 4–13 · mirage, 2 Sept →
13–1Biggest win · mirage, 11 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 60% over 5infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A3721–1657%0.01
mirageC3213–1941%0.03
infernoC135–838%0.00
cacheA53–260%0.03
office—41–325%0.06
anubis—30–30%-0.04
nuke—22–0100%0.07
overpass—21–150%0.11
shelter—10–10%0.01
italy—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

253Matches
50%Win rate
1.13Avg K/D
78.2ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage8452%1.1914.6
Dust24457%1.1615.2
Ancient3749%1.0914.7
Inferno3155%1.0313.4
Nuke2737%1.2015.7
Anubis2055%1.1914.4
Train425%0.8010.5
Overpass425%0.7412.5

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.

12.8%Headshot accuracy
27.6%Accuracy (enemy spotted)
28.9%Spray accuracy
48.6%Counter-strafing
11.7°Preaim
580msReaction time
28.9%T opening success
30.3%CT opening success
0.79Enemies flashed / flash
3.4%Flash assists
7.67HE damage / grenade
14.28Flashes / 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 12.7808% — below the 15% mark we flag

    Aim Training →
  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 28.9288% — below the 40% mark we flag

Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–60.009%24 Sept →
mirage12–12-0.0315%20 Sept →
dust26–13-0.057%20 Sept →
nuke9–6-0.0113%16 Sept →
dust21–9-0.0325%15 Sept →
mirage13–90.0715%13 Sept →
dust29–13-0.0223%11 Sept →
mirage13–10.149%11 Sept →
mirage4–13-0.039%2 Sept →
mirage3–13-0.0114%31 Aug →
dust210–13-0.0514%14 Aug →
mirage8–130.0511%14 Aug →
dust25–13-0.0318%12 Aug →
mirage0–6-0.060%12 Aug →
mirage8–13-0.0116%7 Aug →
mirage13–110.098%5 Aug →
mirage13–10.0215%5 Aug →
inferno14–16-0.0113%3 Aug →
inferno7–13-0.0813%30 Jul →
mirage5–13-0.0524%30 Jul →
dust213–4-0.0110%30 Jul →
dust213–70.0111%28 Jul →
anubis2–13-0.106%26 Jul →
dust213–60.0414%23 Jul →
cache16–140.017%23 Jul →
mirage13–90.0512%22 Jul →
dust213–80.0413%21 Jul →
dust24–13-0.0216%21 Jul →
anubis8–130.0514%19 Jul →
inferno4–10-0.034%18 Jul →
mirage13–70.0111%18 Jul →
inferno13–11-0.0212%17 Jul →
inferno7–13-0.0012%15 Jul →
dust26–130.0411%15 Jul →
mirage11–13-0.0511%14 Jul →
dust213–100.098%13 Jul →
dust26–13-0.0414%13 Jul →
anubis1–13-0.076%11 Jul →
dust213–11-0.077%11 Jul →
mirage5–10.0211%11 Jul →
mirage13–100.0119%11 Jul →
cache13–90.168%11 Jul →
shelter9–130.016%11 Jul →
cache2–13-0.039%10 Jul →
dust213–20.1011%9 Jul →
mirage7–130.1114%9 Jul →
dust24–13-0.079%7 Jul →
inferno10–13-0.0015%6 Jul →
dust25–130.029%6 Jul →
overpass5–13-0.0114%6 Jul →
dust24–13-0.0310%5 Jul →
inferno7–13-0.0610%4 Jul →
mirage12–120.0410%4 Jul →
dust213–30.0526%4 Jul →
mirage10–130.0710%4 Jul →
dust213–110.0313%4 Jul →
italy1–13-0.0240%3 Jul →
office4–130.0516%3 Jul →
office6–130.0427%3 Jul →
mirage14–160.0215%2 Jul →
office13–40.066%2 Jul →
dust26–130.0014%2 Jul →
office9–130.0912%30 Jun →
mirage3–13-0.0710%30 Jun →
inferno1–13-0.0211%30 Jun →
mirage8–130.039%29 Jun →
nuke13–30.1426%29 Jun →
inferno13–10.1523%29 Jun →
dust213–90.0311%29 Jun →
mirage12–120.059%29 Jun →
cache12–12-0.017%28 Jun →
mirage13–110.1313%27 Jun →
dust213–3-0.0120%27 Jun →
dust213–80.1312%26 Jun →
dust212–120.0715%26 Jun →
inferno11–130.0914%25 Jun →
dust27–13-0.0523%25 Jun →
dust213–90.079%25 Jun →
mirage13–70.0320%25 Jun →
mirage6–13-0.0113%23 Jun →
dust213–50.079%18 Jun →
dust213–100.0415%17 Jun →
dust213–2-0.0520%17 Jun →
mirage2–13-0.007%17 Jun →
mirage10–130.1014%16 Jun →
mirage13–2-0.0218%16 Jun →
dust213–90.0517%14 Jun →
mirage11–30.059%14 Jun →
dust211–130.0117%13 Jun →
mirage13–20.0814%13 Jun →
dust24–13-0.0115%12 Jun →
mirage8–13-0.0010%5 Jun →
cache13–60.0316%5 Jun →
inferno13–11-0.0111%5 Jun →
dust213–40.1215%5 Jun →
overpass13–10.2413%5 Jun →
inferno13–90.0317%2 Jun →
dust213–20.0715%2 Jun →
dust213–110.0311%2 Jun →
inferno13–100.027%28 May →

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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