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.MaVe^$

.MaVe^$ — CS2 Stats

US76561198040897404[U:1:80631676]Steam profile ↗✓ No bans

1,142Tracked matches73%Win rate2020Tracked since
3,855Hours in CS16Hrs last 2 wks
CSDB Rating6.0 SolidHybrid Rifler
Premier CS Rating25,074Top 25% of 44,590 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)
CSDB Leaderboard#6602 of 58651 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=2,911), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate38.4%48.4%51.7%13.3% short
Shot accuracy14.0%13.2%13.8%meets
Kill/death ratio0.981.081.090.11 short
Match win rate72.4%47.0%48.7%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG.MaVe^$FACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,074 · Red bandcsdb.gg/stats

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Performance scores

Aim62
Positioning61
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY62–30–8Last 10062%Win rateLWLLLWWWLW

Last 10 vs previous 10: +0pp win rate · -0.05 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.2
Aggression8.3
Utility5.2
Positioning6.1
Opening Duels3.9
Clutch5.4

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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: higher opening-fight frequency; 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

Counter-strafing. Only 64% 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

Aim6.2
Positioning6.1
Utility5.2
Mechanics3.1
Opening Duels3.9
Win Impact10.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time520ms−28ms
first ⅓ avg 549ms → last ⅓ avg 520ms
Headshot accuracy17.4%−1.9%
first ⅓ avg 19.3% → last ⅓ avg 17.4%

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.

Highlights

0.18Best rating — inferno 9–6
13–0Biggest win — inferno
8Longest win streak
12–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 86% over 7nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB4521–2447%0.02
ancientS139–469%-0.01
dust2S119–282%0.00
anubisS119–282%0.02
cacheS76–186%0.01
mirageS64–267%0.02
nukeC52–340%-0.03
shelter—11–0100%0.06
vertigo—11–0100%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,220Lifetime kills
0.98K/D
10,926Matches
72.4%Match win rate · Top 1% of Level 9 players
38.4%Headshot %
14.0%Shot accuracy · Top 50% of Level 9 players
15,651MVPs
2,566Hours (in match)
7,872Bombs planted
1,631Bombs defused

Most-used weapons

AK-4722,429
M4A4 / M4A1-S16,882
AWP16,447
P2000 / USP-S5,985
Desert Eagle5,728
Glock-184,735
P2502,817
P902,443
MAC-102,434
Five-SeveN2,238

Lifetime map wins

32,392inferno
4,675dust2
1,778cbble
1,667train
1,606nuke
1,295vertigo
169lake
122aztec

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

Faceit stats

Combat

549Matches
51%Win rate
1.03Avg K/D
79.9ADR
36%Headshot %

Clutches & streaks

47%1v1 clutch win
20%1v2 clutch win
17Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3152%1.4218.3
Ancient2462%1.2317.3
Dust21984%1.2915.7
Anubis1867%1.2516.6
Cache1457%1.3314.1
Mirage1450%1.2517.3
Nuke70%0.6811.6
Overpass2100%1.4215.0

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.

16.6%Headshot accuracy
32.6%Accuracy (enemy spotted)
42.6%Spray accuracy
64.0%Counter-strafing
10.4°Preaim
514msReaction time
42.8%T opening success
48.6%CT opening success
0.47Enemies flashed / flash
8.3%Flash assists
12.20HE damage / grenade
7.60Flashes / 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 0.4747 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0022%29 Aug →
dust213–50.0910%29 Aug →
inferno5–130.0521%29 Aug →
inferno3–9-0.193%29 Aug →
inferno4–9-0.0520%29 Aug →
cache13–90.048%28 Aug →
inferno13–50.0218%27 Aug →
cache13–4-0.0013%27 Aug →
inferno10–130.0140%25 Aug →
inferno9–4-0.117%25 Aug →
anubis13–50.0817%23 Aug →
inferno13–90.0622%23 Aug →
inferno13–00.1221%22 Aug →
inferno9–10.1017%21 Aug →
inferno8–80.0427%21 Aug →
inferno8–80.0617%21 Aug →
inferno3–9-0.1011%21 Aug →
inferno10–130.0615%21 Aug →
inferno13–11-0.0128%18 Aug →
dust26–13-0.0516%18 Aug →
nuke16–14-0.0119%14 Aug →
inferno13–7-0.0416%14 Aug →
ancient13–10-0.017%13 Aug →
nuke3–13-0.047%13 Aug →
cache13–40.013%13 Aug →
ancient13–10-0.0015%13 Aug →
inferno9–70.0736%12 Aug →
inferno8–80.1021%12 Aug →
inferno3–9-0.0611%12 Aug →
ancient13–4-0.0613%10 Aug →
inferno9–60.1829%10 Aug →
dust211–130.0013%10 Aug →
shelter13–20.0629%10 Aug →
anubis13–40.0312%8 Aug →
dust213–11-0.0311%8 Aug →
mirage13–60.0220%8 Aug →
dust213–110.0214%7 Aug →
anubis16–130.0213%7 Aug →
nuke11–13-0.0913%7 Aug →
inferno13–110.0421%7 Aug →
nuke13–3-0.0119%5 Aug →
inferno13–30.0221%4 Aug →
mirage10–13-0.0215%4 Aug →
inferno7–90.0618%4 Aug →
inferno2–10.0714%3 Aug →
cache13–60.0414%1 Aug →
dust213–40.0429%1 Aug →
inferno8–8-0.0720%31 Jul →
vertigo13–20.0321%31 Jul →
anubis13–100.0517%31 Jul →
ancient13–110.0821%31 Jul →
nuke8–80.0215%31 Jul →
inferno7–9-0.0513%31 Jul →
dust213–80.0310%30 Jul →
ancient19–16-0.0315%30 Jul →
inferno9–40.0616%30 Jul →
inferno6–9-0.0414%30 Jul →
anubis13–110.0519%29 Jul →
cache5–13-0.0217%29 Jul →
inferno13–40.0413%29 Jul →
cache13–10-0.0212%28 Jul →
anubis13–9-0.0421%28 Jul →
mirage13–11-0.0317%26 Jul →
ancient13–10-0.0522%26 Jul →
mirage13–50.1522%26 Jul →
dust216–140.0041%26 Jul →
anubis13–90.0012%25 Jul →
anubis8–130.039%25 Jul →
cache13–30.037%25 Jul →
inferno7–130.0326%25 Jul →
ancient13–40.0216%25 Jul →
inferno9–13-0.0314%25 Jul →
anubis10–130.0212%25 Jul →
mirage13–5-0.0120%25 Jul →
mirage7–130.0118%25 Jul →
ancient9–13-0.0115%24 Jul →
dust213–5-0.0318%24 Jul →
ancient9–13-0.0213%24 Jul →
dust213–7-0.0728%24 Jul →
anubis13–11-0.0213%23 Jul →
ancient5–13-0.0418%23 Jul →
dust213–50.0029%23 Jul →
ancient13–30.0617%23 Jul →
inferno13–60.0322%23 Jul →
inferno13–60.0618%22 Jul →
anubis13–50.0323%22 Jul →
ancient13–10-0.0514%20 Jul →
inferno9–60.1521%20 Jul →
inferno9–10.0746%20 Jul →
inferno8–80.0326%20 Jul →
inferno9–60.1222%20 Jul →
inferno6–90.0612%20 Jul →
inferno12–120.0315%19 Jul →
inferno12–120.0019%19 Jul →
inferno10–130.0215%19 Jul →
inferno13–50.0215%17 Jul →
inferno7–130.0622%17 Jul →
inferno13–5-0.0030%17 Jul →
inferno3–13-0.0330%17 Jul →
inferno11–130.0117%17 Jul →

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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