Mavve, I have an impersonator

Mavve, I have an impersonator — CS2 Stats

76561197961068059[U:1:802331]Steam profile ↗✓ No bans

1,169Tracked matches52%Win rate2021Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating10,784Blue band · top ~50.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 May 2026 (141 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: 10,784 -2,365 24 Feb – 26 May · 34 days played
10,42013,779peak 13,77924 Feb26 May
14,061Peak Premier in tracked matches
54Days played since 2025-02-23

Premier CS Rating

  • 2,995 below peak (13,779)
  • -596 over 90 days
  • Next: Purple band at 15,000 — 4,216 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.GGMavve, I have an imperson…PREMIER10,784 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning59
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateWLWLWLLWWT

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +5.7pp headshot accuracy · −17ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 633ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 646ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 655ms

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 (+2.2 against its own average).

Aim4.2
Utility6.7
Positioning5.9
Opening Duels5.3
Clutch0.0

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

m0NESY

Plays most like m0NESY 61% 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

T-side openings. Opening success drops from 55% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms 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

Aim4.2
Positioning5.9
Utility6.7
Mechanics7.1
Opening Duels4.2
Win Impact5.6

Composite 5.2/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time656ms+24ms
first ⅓ avg 632ms → last ⅓ avg 656ms
Headshot accuracy15.4%−1.2%
first ⅓ avg 16.6% → last ⅓ avg 15.4%

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 · 13–7 · nuke, 14 Dec →
32%Best headshot accuracy · 1–13 · nuke, 25 Jan →
406msFastest reaction time · 4–13 · anubis, 10 Apr →
13–1Biggest win · inferno, 22 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 67% over 12mirageWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
dust2A2313–1057%0.01
mirageD216–1529%-0.01
anubisA148–657%-0.00
infernoS128–467%0.00
ancientC114–736%-0.01
nukeA116–555%0.01
train—41–325%0.02
overpass—31–233%0.01
vertigo—11–0100%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

59Matches
47%Win rate
0.96Avg K/D
81.8ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno250%0.7810.0
Dust21100%1.4722.0
Mirage10%0.8416.0

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.

15.7%Headshot accuracy
28.1%Accuracy (enemy spotted)
29.3%Spray accuracy
82.1%Counter-strafing
11.2°Preaim
650msReaction time
39.2%T opening success
54.7%CT opening success
0.64Enemies flashed / flash
4.9%Flash assists
10.94HE damage / grenade
15.35Flashes / 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

    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 39.1877% — below the 40% mark we flag

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0115%26 May →
ancient13–16-0.0113%12 May →
inferno13–6-0.0321%11 May →
dust27–130.0118%11 May →
dust213–50.0825%11 May →
dust26–13-0.1022%6 Apr →
dust27–13-0.0721%26 Mar →
anubis16–12-0.0218%26 Mar →
dust213–6-0.0114%26 Mar →
anubis15–15-0.0114%16 Mar →
nuke7–130.0317%13 Mar →
anubis13–60.0113%13 Mar →
mirage10–13-0.043%13 Mar →
dust213–16-0.029%23 Feb →
nuke13–60.0013%15 Feb →
ancient11–13-0.0419%15 Feb →
overpass13–60.0412%15 Feb →
mirage13–9-0.0423%14 Feb →
anubis13–11-0.008%13 Feb →
mirage6–13-0.038%13 Feb →
dust210–13-0.0712%8 Feb →
inferno2–13-0.0331%8 Feb →
mirage9–13-0.0717%7 Feb →
dust28–1-0.070%7 Feb →
ancient16–14-0.0515%6 Feb →
dust210–13-0.0323%5 Feb →
mirage3–130.0119%5 Feb →
dust213–90.1013%4 Feb →
dust213–100.0521%4 Feb →
inferno13–50.0115%4 Feb →
mirage13–16-0.0513%4 Feb →
mirage13–10-0.0312%4 Feb →
dust216–140.0514%4 Feb →
ancient13–9-0.0527%3 Feb →
nuke10–130.009%3 Feb →
anubis13–60.0015%3 Feb →
dust210–13-0.0714%2 Feb →
nuke11–13-0.0213%30 Jan →
mirage13–11-0.0518%27 Jan →
dust213–80.0715%27 Jan →
dust213–110.0418%26 Jan →
inferno13–80.0311%25 Jan →
nuke1–13-0.0232%25 Jan →
dust213–110.0826%25 Jan →
mirage11–130.0319%25 Jan →
anubis13–110.0316%24 Jan →
mirage2–13-0.0714%15 Dec →
nuke13–70.1216%14 Dec →
mirage10–130.0510%8 Dec →
mirage6–13-0.0529%8 Dec →
mirage13–40.0226%22 Nov →
inferno13–10.0921%22 Nov →
overpass11–13-0.0017%22 Nov →
nuke13–9-0.0618%23 Oct →
vertigo13–40.0424%23 Oct →
ancient15–15-0.0214%12 Aug →
train10–130.0215%10 Aug →
overpass13–16-0.0117%3 Aug →
inferno9–130.029%2 Jul →
dust213–80.0123%10 Jun →
dust211–13-0.0215%29 May →
ancient13–160.0212%29 May →
nuke13–60.0325%29 May →
dust26–13-0.0416%28 May →
mirage5–13-0.0320%28 May →
inferno15–15-0.0124%11 May →
ancient10–13-0.0013%11 May →
anubis4–13-0.0414%10 Apr →
inferno13–80.0113%10 Apr →
anubis13–7-0.0514%4 Apr →
ancient13–70.0414%3 Apr →
inferno13–7-0.0111%31 Mar →
mirage13–3-0.0514%31 Mar →
ancient8–13-0.0115%27 Mar →
train15–150.0618%25 Mar →
ancient13–110.029%25 Mar →
train10–130.0119%24 Mar →
mirage13–110.1020%24 Mar →
mirage6–13-0.0312%24 Mar →
dust213–90.0720%23 Mar →
ancient10–130.0114%19 Mar →
anubis13–5-0.0018%19 Mar →
mirage9–13-0.0212%19 Mar →
anubis10–130.0913%15 Mar →
mirage10–13-0.0027%11 Mar →
dust213–70.0420%11 Mar →
dust213–70.0514%10 Mar →
inferno8–13-0.0611%9 Mar →
mirage9–130.0923%1 Mar →
anubis9–13-0.0321%27 Feb →
anubis14–160.0211%25 Feb →
anubis13–11-0.0319%24 Feb →
inferno13–9-0.0221%24 Feb →
nuke13–110.0421%23 Feb →
anubis7–130.0216%23 Feb →
dust28–130.0212%23 Feb →
nuke1–13-0.0131%23 Feb →
nuke13–3-0.0318%23 Feb →
train13–11-0.0215%23 Feb →
mirage15–150.0317%23 Feb →

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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