ville

ville — CS2 Stats

76561198003641584[U:1:43375856]Steam profile ↗✓ No bans

664Tracked matches41%Win rate2020Tracked since
CSDB Rating5.6 SolidPositional Player
Premier CS Rating21,070Top 50% of 213,211 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#69060 of 259894 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 21,070 → 21,070
+11Tracked matches · now 664
+17.2ppWin rate · 24.1% → 41.4%

Rating over time

Premier CS Rating: 21,070 -1,391 9 May – 20 Sept · 12 days played
20,65023,237peak 23,2379 May20 Sept
23,338Peak Premier in tracked matches
26Days played since 2025-03-08

Premier CS Rating

  • 2,167 below peak (23,237)
  • Next: Red band at 25,000 — 3,930 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-05
  • Purple band first seen 2026-09-05

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

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CSDB.GGvillePREMIER21,070 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning52
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateLWWLWLTWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.0pp headshot accuracy · −67ms reaction

Win rate +10pp 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 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 528ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 501ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 534ms

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 (+1.8 against its own average).

Aim7.6
Utility4.5
Positioning5.2
Opening Duels2.1
Clutch1.8

Limited utility dependence

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

b1t

Plays most like b1t 98% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 49% on T to 32% on CT — first contacts on the defending side are being lost.

Reaction time. 554ms 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

Aim7.6
Positioning5.2
Utility4.5
Mechanics6.9
Opening Duels2.7
Win Impact2.1

Composite 5.6/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time574ms−21ms
first ⅓ avg 595ms → last ⅓ avg 574ms
Headshot accuracy20.7%+1.5%
first ⅓ avg 19.2% → last ⅓ avg 20.7%

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

0.13Best match rating · 12–2 · nuke, 9 May →
36%Best headshot accuracy · 7–13 · nuke, 6 Apr →
406msFastest reaction time · 12–12 · nuke, 14 Oct →
13–3Biggest win · inferno, 13 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–3In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 59% over 22ancientWeakest map · 30% over 23
MapGradePlayedRecordWin rateAvg rating
ancientD237–1630%0.00
infernoA2213–959%0.01
nukeC198–1142%0.01
anubisB189–950%0.02
vertigoA74–357%0.02
cacheC52–340%0.01
train—33–0100%0.04
dust2—10–10%-0.04
overpass—10–10%-0.02
mirage—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 23). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

27Matches
52%Win rate
1.23Avg K/D
87.2ADR
40%Headshot %

Clutches & streaks

29%1v1 clutch win
40%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis650%1.6218.7
Ancient560%1.2817.0
Vertigo425%0.9219.8
Nuke3100%1.4024.0
Mirage2100%1.1217.5
Inferno10%1.2123.0

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.

20.5%Headshot accuracy
33.6%Accuracy (enemy spotted)
34.8%Spray accuracy
81.0%Counter-strafing
8.9°Preaim
554msReaction time
49.5%T opening success
32.2%CT opening success
0.55Enemies flashed / flash
6.7%Flash assists
12.45HE damage / grenade
4.54Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.1603% — below the 40% mark we flag

Spend your practice time on Ancient

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

30% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0320%19 Oct →
nuke13–7-0.054%19 Oct →
inferno13–70.0626%19 Oct →
anubis10–130.0113%14 Oct →
ancient13–80.0325%14 Oct →
cache7–13-0.0026%14 Oct →
nuke12–120.0417%14 Oct →
ancient13–4-0.0318%13 Oct →
inferno13–30.0830%13 Oct →
cache13–60.0223%13 Oct →
anubis13–4-0.0414%13 Oct →
ancient16–140.0318%27 May →
ancient10–130.0211%27 May →
anubis8–13-0.0330%27 May →
inferno7–130.0423%27 May →
nuke13–3-0.0519%25 May →
inferno13–10-0.0310%25 May →
ancient10–13-0.0119%25 May →
nuke13–11-0.0018%25 May →
anubis6–130.0533%25 May →
anubis6–13-0.0420%21 May →
inferno4–13-0.0420%21 May →
inferno13–7-0.0032%21 May →
nuke9–13-0.0319%21 May →
nuke6–130.0223%21 May →
nuke8–13-0.0327%15 May →
dust28–13-0.0417%15 May →
overpass4–13-0.0231%14 May →
inferno4–130.0127%14 May →
ancient6–13-0.0213%14 May →
nuke13–60.0220%14 May →
inferno11–130.0413%13 May →
nuke3–13-0.0825%13 May →
ancient15–150.0217%13 May →
ancient4–13-0.0415%13 May →
inferno10–13-0.0022%11 May →
ancient6–13-0.0020%11 May →
inferno7–130.0216%11 May →
ancient9–130.0722%10 May →
anubis11–30.0922%10 May →
ancient6–130.0513%10 May →
anubis13–40.0415%10 May →
ancient9–13-0.0114%10 May →
anubis6–1-0.0123%10 May →
anubis8–130.007%10 May →
nuke12–20.1320%9 May →
inferno13–11-0.0117%9 May →
anubis13–90.0111%9 May →
nuke13–100.0116%9 May →
cache6–130.0522%9 May →
inferno13–9-0.0121%9 May →
ancient7–130.0128%9 May →
ancient5–13-0.0116%9 May →
inferno13–70.0425%9 May →
anubis13–90.039%9 May →
inferno13–50.0624%7 May →
ancient13–110.0314%7 May →
nuke13–100.1016%7 May →
nuke10–13-0.037%3 May →
inferno5–00.0117%3 May →
vertigo13–50.0419%3 May →
anubis13–50.017%3 May →
anubis6–00.1114%3 May →
ancient12–12-0.0116%3 May →
cache13–4-0.0118%29 Apr →
ancient13–9-0.0316%29 Apr →
anubis11–13-0.0517%29 Apr →
vertigo13–80.0510%29 Apr →
nuke9–13-0.0221%29 Apr →
inferno13–60.0220%29 Apr →
vertigo13–5-0.0314%27 Apr →
inferno13–5-0.0215%27 Apr →
ancient6–13-0.057%17 Apr →
ancient1–13-0.0710%17 Apr →
anubis16–140.0428%29 Mar →
nuke8–130.0425%29 Mar →
inferno13–110.0121%17 Mar →
ancient2–13-0.0419%17 Mar →
anubis10–130.0725%20 Sept →
ancient6–13-0.0028%20 Sept →
nuke4–13-0.058%20 Sept →
vertigo9–13-0.0521%20 Sept →
train13–50.027%20 Sept →
train7–20.0333%20 Sept →
ancient13–110.0518%29 May →
anubis5–13-0.0134%29 May →
inferno3–130.0413%29 May →
inferno13–7-0.0416%1 May →
train13–90.0619%13 Apr →
mirage6–13-0.0210%13 Apr →
nuke7–13-0.0225%13 Apr →
nuke7–130.0136%6 Apr →
anubis12–120.0114%9 Mar →
vertigo13–40.0419%9 Mar →
inferno12–120.0416%9 Mar →
nuke13–60.1124%9 Mar →
ancient13–80.0918%9 Mar →
vertigo11–130.0520%9 Mar →
vertigo12–120.0318%8 Mar →
inferno10–13-0.0222%8 Mar →

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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