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mARie — CS2 Stats

76561198172761758[U:1:212496030]✓ No bans

712Tracked matches37%Win rate2020Tracked since
CSDB Rating3.4 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGmARieFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim47
Positioning39
Utility24

0–100 skill scores via Leetify.

Recent form

COLD42–55–3Last 10042%Win rateLLLLLWTWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Aim4.7
Aggression3.2
Utility2.4
Positioning3.9
Opening Duels0.3
Clutch6.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 72% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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 39% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.7
Positioning3.9
Utility2.4
Mechanics4.4
Opening Duels1.2
Win Impact0.7

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time650ms−18ms
first ⅓ avg 668ms → last ⅓ avg 650ms
Headshot accuracy15.6%+1.1%
first ⅓ avg 14.5% → last ⅓ avg 15.6%

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.

Highlights

0.08Best rating — nuke 13–5
13–0Biggest win — cache
5Longest win streak
L5Current streak
7–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 50% over 26infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2613–1350%-0.01
dust2B2311–1248%-0.02
nukeC188–1044%-0.02
infernoD92–722%-0.05
ancientD82–625%-0.02
cacheB63–350%-0.02
anubisC52–340%-0.02
train—20–20%0.00
overpass—21–150%-0.02
italy—10–10%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

328Matches
49%Win rate
0.92Avg K/D
54.1ADR
31%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo540%0.719.0
Mirage367%0.5511.0
Inferno20%0.7610.5
Dust22100%1.0816.5
Overpass10%0.6312.0
Anubis1100%0.417.0

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.

14.8%Headshot accuracy
31.4%Accuracy (enemy spotted)
34.9%Spray accuracy
69.7%Counter-strafing
9.2°Preaim
649msReaction time
22.6%T opening success
39.5%CT opening success
0.42Enemies flashed / flash
2.9%Flash assists
5.46HE damage / grenade
3.65Flashes / 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 14.7902% — 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 0.4204 — 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 22.5614% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0013%27 Aug →
nuke8–13-0.0017%27 Aug →
cache11–13-0.0519%27 Aug →
dust22–13-0.0419%25 Aug →
mirage9–13-0.0226%25 Aug →
cache13–9-0.0416%25 Aug →
cache12–12-0.036%21 Aug →
mirage13–20.046%21 Aug →
train5–13-0.040%15 Aug →
cache13–00.0423%15 Aug →
dust24–13-0.0211%6 Aug →
dust212–12-0.028%6 Aug →
cache4–13-0.0922%6 Aug →
nuke8–13-0.0712%6 Aug →
mirage11–13-0.0710%28 Jul →
dust213–7-0.0229%28 Jul →
dust213–100.0218%28 Jul →
ancient13–160.0012%28 Jul →
mirage10–130.0124%24 Jul →
train12–120.0413%24 Jul →
dust210–13-0.0324%16 Jul →
inferno9–13-0.0519%16 Jul →
inferno9–13-0.0611%14 Jul →
nuke13–50.0812%14 Jul →
inferno13–20.0613%14 Jul →
dust28–13-0.0212%14 Jul →
anubis13–6-0.0819%8 Jul →
ancient9–13-0.088%8 Jul →
dust213–9-0.033%8 Jul →
cache13–90.0520%8 Jul →
mirage4–13-0.0612%26 Jun →
inferno4–13-0.0935%26 Jun →
dust25–13-0.0223%1 Jun →
anubis2–13-0.064%1 Jun →
ancient5–13-0.0115%20 May →
inferno9–13-0.0522%19 May →
ancient10–130.0310%19 May →
nuke9–13-0.085%19 May →
dust216–12-0.0031%19 May →
dust213–11-0.0016%19 May →
mirage9–13-0.0117%19 May →
mirage10–13-0.056%19 May →
dust28–13-0.0313%13 May →
overpass13–5-0.0113%12 May →
dust213–10-0.0611%12 May →
mirage13–7-0.0613%12 May →
mirage13–20.0517%12 May →
nuke16–12-0.0513%12 May →
mirage11–13-0.0216%12 May →
mirage13–8-0.0112%12 May →
inferno11–13-0.0422%12 May →
mirage13–80.0410%12 May →
italy10–13-0.0914%4 May →
mirage6–13-0.0416%29 Apr →
dust29–13-0.0718%28 Apr →
inferno4–13-0.0729%27 Apr →
nuke7–130.0311%27 Apr →
dust213–11-0.0116%26 Apr →
mirage13–110.0313%26 Apr →
mirage13–10-0.0113%26 Apr →
nuke13–110.0223%26 Apr →
dust210–13-0.0724%25 Apr →
mirage13–50.0222%25 Apr →
nuke13–16-0.029%18 Apr →
nuke13–9-0.0115%6 Apr →
nuke13–80.0419%6 Apr →
inferno13–11-0.0120%5 Apr →
ancient13–4-0.0015%20 Mar →
overpass3–13-0.0312%19 Mar →
inferno2–13-0.1312%19 Mar →
dust29–13-0.0418%18 Mar →
mirage13–6-0.0519%10 Mar →
dust213–11-0.0510%10 Mar →
dust213–30.058%10 Mar →
anubis13–20.0524%10 Mar →
dust213–3-0.0714%9 Mar →
mirage9–13-0.008%8 Mar →
nuke13–100.0410%8 Mar →
dust29–13-0.0111%8 Mar →
nuke10–13-0.0912%7 Mar →
nuke9–13-0.0321%6 Mar →
dust213–40.0121%6 Mar →
anubis14–16-0.0213%6 Mar →
nuke9–13-0.0610%5 Mar →
ancient9–13-0.0510%5 Mar →
mirage13–8-0.0316%2 Mar →
ancient16–14-0.069%2 Mar →
nuke9–13-0.0419%2 Mar →
mirage13–5-0.0514%24 Feb →
mirage10–13-0.0117%24 Feb →
nuke5–13-0.117%24 Feb →
dust23–130.0111%24 Feb →
anubis11–13-0.0123%23 Feb →
mirage9–13-0.0313%23 Feb →
ancient10–13-0.029%23 Feb →
nuke13–9-0.0427%23 Feb →
mirage7–13-0.0212%23 Feb →
mirage13–90.0117%23 Feb →
mirage13–40.0110%23 Feb →
nuke13–30.0426%23 Feb →

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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