.MaVe^$

.MaVe^$ — CS2 Stats

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

1,277Tracked matches53%Win rate2020Tracked since
3,939Hours in CS12Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating22,151Top 50% of 215,558 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#55195 of 261702 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (10 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: 22,151 -2,923 31 Aug – 5 Nov · 23 days played
21,62125,074peak 25,07431 Aug5 Nov
25,074Peak Premier in tracked matches
32Days played since 2026-08-31

Premier CS Rating

  • 2,923 below peak (25,074)
  • -1,300 over 30 days · declining
  • Next: Red band at 25,000 — 2,849 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-31
  • Pink band first seen 2026-08-31

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,878), 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 8 medianLevel 9 medianvs Level 9
Headshot rate38.3%46.8%48.2%9.9% short
Shot accuracy13.8%13.0%13.2%above
Kill/death ratio0.981.061.070.09 short
Match win rate72.1%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 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 8STANDINGTop 31.2% of rankedPREMIER22,151 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim64
Positioning71
Utility62

0–100 skill scores via Leetify.

Recent form

COLD46–48–6Last 10046%Win rateWLLLLLWLWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · +40ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 558ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 531ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 511ms

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 (+1.4 against its own average).

Aim6.4
Utility6.2
Positioning7.1
Opening Duels3.7
Clutch5.6

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

Twistzz

Plays most like Twistzz 76% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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 62% 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

Aim6.4
Positioning7.1
Utility6.2
Mechanics2.6
Opening Duels5.8
Win Impact6.1

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.04
first ⅓ avg -0.02 → last ⅓ avg 0.02
Reaction time495ms+9ms
first ⅓ avg 486ms → last ⅓ avg 495ms
Headshot accuracy16.4%+0.8%
first ⅓ avg 15.6% → last ⅓ avg 16.4%

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

0.23Best match rating · 9–6 · inferno, 3 Nov →
33%Best headshot accuracy · 13–7 · dust2, 25 Sept →
297msFastest reaction time · 13–6 · cache, 3 Nov →
13–1Biggest win · cache, 10 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 67% over 15mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoC4217–2540%0.00
ancientA159–660%-0.01
cacheS1510–567%0.00
mirageD113–827%0.00
anubisC73–443%-0.01
dust2C73–443%0.02
overpass—11–0100%0.13
train—10–10%-0.06
nuke—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,112Lifetime kills
0.98K/D
11,060Matches
72.1%Match win rate · Top 1% of Level 8 players
38.3%Headshot %
13.8%Shot accuracy · Top 50% of Level 8 players
15,977MVPs
2,625Hours (in match)
8,093Bombs planted
1,692Bombs defused

Most-used weapons

AK-4722,829
AWP16,834
P2502,828
MAC-102,517
P902,447

Lifetime map wins

32,784inferno
4,771dust2
1,778cbble
1,679train
1,645nuke
1,303vertigo
169lake
122aztec

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

Faceit stats

Combat

579Matches
51%Win rate
1.03Avg K/D
78.1ADR
36%Headshot %

Clutches & streaks

48%1v1 clutch win
20%1v2 clutch win
17Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient3560%1.1016.3
Inferno3447%1.4118.3
Anubis2264%1.1815.9
Dust22277%1.2014.9
Cache1947%1.2214.8
Mirage1656%1.3017.4
Nuke812%0.7011.9
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.

14.7%Headshot accuracy
33.6%Accuracy (enemy spotted)
42.8%Spray accuracy
61.6%Counter-strafing
9.3°Preaim
503msReaction time
59.0%T opening success
47.7%CT opening success
0.61Enemies flashed / flash
8.7%Flash assists
12.59HE damage / grenade
8.85Flashes / 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 14.6658% — below the 15% mark we flag

    Aim Training →
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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–11-0.019%5 Nov →
dust211–130.0022%5 Nov →
inferno9–130.1014%4 Nov →
inferno7–90.0015%4 Nov →
inferno2–9-0.0722%4 Nov →
inferno5–90.0520%4 Nov →
mirage13–50.0716%3 Nov →
anubis9–13-0.054%3 Nov →
ancient13–80.0224%3 Nov →
mirage8–13-0.0427%3 Nov →
cache13–60.0219%3 Nov →
inferno9–6-0.1013%3 Nov →
inferno5–9-0.0224%3 Nov →
inferno9–60.2312%3 Nov →
dust213–80.0715%2 Nov →
anubis10–130.007%2 Nov →
anubis7–130.0422%2 Nov →
inferno7–9-0.1317%2 Nov →
ancient13–9-0.058%1 Nov →
inferno9–70.1030%1 Nov →
cache13–10-0.0221%1 Nov →
ancient13–60.0317%31 Oct →
inferno13–50.0016%31 Oct →
inferno8–80.1029%30 Oct →
anubis13–2-0.026%29 Oct →
cache13–16-0.019%29 Oct →
dust213–110.0517%28 Oct →
ancient13–10-0.0316%28 Oct →
inferno6–130.0212%27 Oct →
ancient7–130.0312%24 Oct →
inferno13–50.0423%24 Oct →
inferno9–60.1519%24 Oct →
inferno9–13-0.018%23 Oct →
mirage12–160.0414%23 Oct →
dust24–130.0322%23 Oct →
dust24–130.0419%23 Oct →
inferno9–70.0318%23 Oct →
inferno5–9-0.0924%23 Oct →
inferno8–8-0.0011%23 Oct →
ancient13–11-0.019%21 Oct →
inferno4–13-0.0113%21 Oct →
inferno13–30.1814%21 Oct →
cache13–60.0714%21 Oct →
inferno9–130.0315%21 Oct →
inferno9–40.0628%17 Oct →
cache10–130.0221%17 Oct →
ancient12–120.0111%16 Oct →
inferno16–140.0113%13 Oct →
ancient13–80.038%13 Oct →
anubis13–90.029%12 Oct →
cache13–10.0017%10 Oct →
ancient6–13-0.0313%10 Oct →
cache7–13-0.0223%10 Oct →
cache8–130.0011%10 Oct →
ancient13–50.0318%10 Oct →
inferno13–50.0219%10 Oct →
overpass13–60.1327%4 Oct →
train12–12-0.0617%4 Oct →
cache13–30.0218%2 Oct →
inferno13–90.0615%2 Oct →
ancient13–6-0.0811%2 Oct →
inferno6–9-0.0714%2 Oct →
cache13–9-0.0815%29 Sept →
mirage16–120.0617%29 Sept →
mirage7–13-0.036%29 Sept →
cache13–50.0417%29 Sept →
inferno5–90.0118%29 Sept →
inferno10–130.1018%28 Sept →
mirage10–130.0123%28 Sept →
cache13–60.0815%27 Sept →
ancient6–13-0.1113%27 Sept →
mirage8–130.008%27 Sept →
anubis5–13-0.074%27 Sept →
nuke4–13-0.0325%27 Sept →
inferno11–130.0216%27 Sept →
dust211–130.0118%27 Sept →
inferno13–80.0618%27 Sept →
dust213–7-0.0533%25 Sept →
ancient13–80.0613%25 Sept →
mirage13–70.048%23 Sept →
inferno2–13-0.0519%23 Sept →
cache13–7-0.0118%23 Sept →
inferno2–13-0.028%21 Sept →
mirage1–13-0.0516%21 Sept →
inferno13–90.0212%20 Sept →
ancient10–130.0113%20 Sept →
mirage8–13-0.0615%20 Sept →
ancient4–13-0.0018%20 Sept →
inferno8–8-0.0413%20 Sept →
inferno2–9-0.3425%20 Sept →
cache13–1-0.0112%19 Sept →
inferno9–40.1914%19 Sept →
inferno6–9-0.1213%19 Sept →
mirage9–130.0016%14 Sept →
inferno9–4-0.034%13 Sept →
inferno6–9-0.1213%13 Sept →
inferno7–2-0.0814%13 Sept →
inferno10–13-0.0717%11 Sept →
cache10–13-0.0726%5 Sept →
inferno8–8-0.0318%5 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.