✿Vulpy✿

✿Vulpy✿ — CS2 Stats

US76561198151853812[U:1:191588084]Steam profile ↗✓ No bans

348Tracked matches48%Win rate2020Tracked since
430Hours in CS49Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating11,843Blue band · top ~45.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−317Premier CS Rating · 12,160 → 11,843

Rating over time

Premier CS Rating: 11,843 -774 20 Sept – 17 Oct · 14 days played
11,43313,008peak 13,00820 Sept17 Oct
13,041Peak Premier in tracked matches
25Days played since 2026-09-18

Premier CS Rating

  • 1,165 below peak (13,008)
  • -774 over 30 days · declining
  • Next: Purple band at 15,000 — 3,157 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.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.1%42.0%44.3%3.3% short
Shot accuracy3.8%9.6%11.9%8.0% short
Kill/death ratio0.930.981.030.10 short
Match win rate38.2%43.8%45.2%7.0% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG✿Vulpy✿PREMIER11,843 · Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning64
Utility5

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateLTLWTWLWLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.2pp headshot accuracy · −76ms 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

  • 1–2–2 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 650ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 652ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 690ms

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 (+2.5 against its own average).

Aim4.7
Utility0.5
Positioning6.4
Opening Duels4.8

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

s1mple

Plays most like s1mple 64% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

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

Reaction time. 657ms 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

Aim4.7
Positioning6.4
Utility0.5
Mechanics5.8
Opening Duels6.2
Win Impact4.4

Composite 4.5/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time668ms+34ms
first ⅓ avg 634ms → last ⅓ avg 668ms
Headshot accuracy13.9%+0.6%
first ⅓ avg 13.3% → last ⅓ avg 13.9%

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

0.25Best match rating · 13–3 · nuke, 15 Oct →
38%Best headshot accuracy · 13–3 · vertigo, 14 Oct →
453msFastest reaction time · 3–13 · vertigo, 29 Sept →
13–2Biggest win · nuke, 10 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 67% over 9nukeWeakest map · 37% over 52
MapGradePlayedRecordWin rateAvg rating
nukeC5219–3337%0.03
ancientC94–544%-0.02
dust2S96–367%0.00
vertigoB84–450%0.02
infernoA74–357%0.01
cache—41–325%0.00
mirage—41–325%-0.01
office—21–150%-0.05
train—22–0100%0.00
overpass—22–0100%0.05
rush_001—11–0100%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (37% over 52). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,943Lifetime kills
0.93K/D
744Matches
38.2%Match win rate
41.1%Headshot %
3.8%Shot accuracy
1,237MVPs
220Hours (in match)
517Bombs planted
104Bombs defused

Most-used weapons

Lifetime map wins

1,994nuke
673dust2
334inferno
289vertigo
150office
34train
23safehouse
22italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.4%Headshot accuracy
35.8%Accuracy (enemy spotted)
35.3%Spray accuracy
76.2%Counter-strafing
12.5°Preaim
657msReaction time
61.6%T opening success
48.2%CT opening success
0.03Enemies flashed / flash
0.0%Flash assists
3.94HE damage / grenade
0.09Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5407° — above the 12° mark we flag

    Aim Training →
  2. 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 14.3853% — below the 15% mark we flag

    Aim Training →
  3. 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 0.0258 — 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.

37% win rate across 52 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0513%17 Oct →
office12–12-0.0717%16 Oct →
nuke10–13-0.035%15 Oct →
office13–11-0.0311%15 Oct →
vertigo12–120.049%15 Oct →
nuke13–30.2514%15 Oct →
nuke10–130.0514%15 Oct →
vertigo13–3-0.0338%14 Oct →
nuke11–130.009%14 Oct →
nuke13–80.0816%14 Oct →
ancient16–13-0.0015%14 Oct →
nuke16–120.0415%14 Oct →
nuke12–120.0216%14 Oct →
nuke9–13-0.0213%14 Oct →
nuke7–13-0.0018%14 Oct →
nuke5–13-0.063%12 Oct →
nuke4–130.0216%12 Oct →
nuke4–13-0.0414%12 Oct →
inferno13–110.0015%12 Oct →
dust213–50.0220%12 Oct →
ancient4–13-0.027%12 Oct →
vertigo5–13-0.0517%12 Oct →
dust213–50.0115%12 Oct →
nuke13–80.0833%11 Oct →
nuke6–13-0.0817%10 Oct →
vertigo13–80.0313%10 Oct →
nuke13–20.0814%10 Oct →
nuke9–130.0012%10 Oct →
inferno5–130.006%8 Oct →
train13–6-0.0011%8 Oct →
train13–60.0111%8 Oct →
rush_0015–1-0.030%7 Oct →
cache11–130.0313%7 Oct →
inferno13–40.037%7 Oct →
mirage11–130.0116%4 Oct →
nuke13–80.0623%4 Oct →
nuke8–13-0.0016%4 Oct →
nuke9–130.0114%4 Oct →
mirage12–16-0.0314%4 Oct →
ancient6–13-0.0411%4 Oct →
overpass13–11-0.0117%4 Oct →
nuke13–80.1116%3 Oct →
nuke4–130.0410%1 Oct →
overpass2–10.1111%1 Oct →
inferno13–20.0012%1 Oct →
dust25–13-0.0117%1 Oct →
ancient16–13-0.0713%1 Oct →
ancient6–50.0414%30 Sept →
dust213–20.0420%30 Sept →
vertigo4–130.0615%30 Sept →
vertigo3–130.0123%29 Sept →
nuke4–13-0.0215%29 Sept →
nuke7–130.009%29 Sept →
ancient12–120.0216%29 Sept →
cache8–130.0220%28 Sept →
dust213–9-0.0313%28 Sept →
dust22–13-0.073%28 Sept →
vertigo13–11-0.0115%28 Sept →
nuke13–100.1011%27 Sept →
nuke9–130.0013%26 Sept →
nuke10–130.0527%26 Sept →
cache6–13-0.0510%26 Sept →
nuke13–11-0.0615%26 Sept →
ancient13–100.0015%26 Sept →
dust213–70.1113%26 Sept →
nuke12–120.0017%26 Sept →
nuke9–130.0514%25 Sept →
nuke9–13-0.0124%25 Sept →
dust213–7-0.0111%25 Sept →
ancient4–13-0.0614%25 Sept →
nuke13–50.0613%25 Sept →
nuke13–90.0615%24 Sept →
ancient11–13-0.0615%24 Sept →
inferno8–13-0.0216%24 Sept →
mirage4–13-0.1011%24 Sept →
cache13–110.019%23 Sept →
nuke10–13-0.038%23 Sept →
inferno13–30.0615%23 Sept →
dust27–13-0.0412%22 Sept →
vertigo13–80.1313%21 Sept →
nuke8–13-0.0512%21 Sept →
nuke13–40.0911%21 Sept →
nuke13–11-0.0311%20 Sept →
nuke13–90.118%20 Sept →
nuke0–13-0.060%20 Sept →
nuke7–130.1220%20 Sept →
nuke9–13-0.0215%20 Sept →
mirage13–90.0612%20 Sept →
nuke13–7-0.065%20 Sept →
nuke13–40.1215%20 Sept →
nuke7–00.066%20 Sept →
nuke7–130.0817%20 Sept →
nuke7–130.0112%20 Sept →
nuke4–00.0515%20 Sept →
nuke1–130.0113%19 Sept →
nuke11–130.0419%19 Sept →
inferno0–13-0.0217%19 Sept →
nuke12–120.0422%18 Sept →
nuke5–13-0.0218%18 Sept →
nuke13–110.0517%18 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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