Viridog

Viridog — CS2 Stats

FI76561199383923795[U:1:1423658067]Steam profile ↗✓ No bans

3,908Tracked matches47%Win rate2022Tracked since
4,480Hours in CS
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 9 · 2,057 ELOTop 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=15,132), 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 rate53.1%48.2%50.9%above
Shot accuracy4.6%13.2%13.7%9.1% short
Kill/death ratio0.661.071.090.43 short
Match win rate46.5%46.9%48.4%1.9% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGViridogFACEITLevel 9 · 2,057 ELOSTANDINGTop 20.7% of rankedcsdb.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

Aim70
Positioning59
Utility16

0–100 skill scores via Leetify.

Recent form

COLD45–44–11Last 10045%Win rateLTWLTLWTTW

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · +4.6pp headshot accuracy · +10ms 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

  • 1–2–2 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 548ms

Last 10

  • 3–3–4 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 556ms

Last 20

  • 9–5–6 · 45% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 551ms

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 (+1.9 against its own average).

Aim7.0
Utility1.6
Positioning5.9
Opening Duels4.8
Clutch3.8

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 78% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Areas to improve

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

T-side openings. Opening success drops from 56% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim7.0
Positioning5.9
Utility1.6
Mechanics5.8
Opening Duels4.1
Win Impact3.9

Composite 5.2/10 (Developing), 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 rating0.05+0.03
first ⅓ avg 0.02 → last ⅓ avg 0.05
Reaction time556ms−52ms
first ⅓ avg 608ms → last ⅓ avg 556ms
Headshot accuracy21.0%−0.7%
first ⅓ avg 21.7% → last ⅓ avg 21.0%

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

0.38Best match rating · 9–0 · inferno, 7 Sept →
57%Best headshot accuracy · 9–0 · inferno, 7 Sept →
422msFastest reaction time · 8–8 · inferno, 12 Feb →
13–1Biggest win · nuke, 16 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB5224–2846%0.05
mirageD134–931%0.00
nukeC114–736%0.02
anubisS75–271%0.01
cacheB63–350%-0.00
dust2—41–325%0.03
ancient—32–167%0.00
vertigo—10–10%0.08
rush_001—10–10%-0.13
overpass—11–0100%0.04
warden—11–0100%0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,977Lifetime kills
0.66K/D
5,470Matches
46.5%Match win rate
53.1%Headshot % · Top 50% of Level 9 players
4.6%Shot accuracy
15,862MVPs
4,480Hours (in match)
4,780Bombs planted
2,835Bombs defused

Most-used weapons

AK-4758,758
Knife2,778
AWP2,671
MP92,442
FAMAS1,604

Lifetime map wins

9,774inferno
7,144nuke
4,946vertigo
2,291train
2,118dust2
270cbble
33italy
19office

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

Faceit stats

Combat

2,564Matches
50%Win rate
0.99Avg K/D
79.2ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage73052%1.0415.9
Anubis46054%1.0816.3
Nuke25949%1.0516.6
Inferno14649%0.9514.8
Train14257%1.0216.2
Dust214036%0.9914.9
Vertigo12744%0.9414.6
Ancient12546%0.9416.1

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.

20.4%Headshot accuracy
35.7%Accuracy (enemy spotted)
39.1%Spray accuracy
76.1%Counter-strafing
10.1°Preaim
610msReaction time
36.5%T opening success
55.9%CT opening success
0.18Enemies flashed / flash
2.4%Flash assists
7.04HE damage / grenade
0.96Flashes / 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 0.1767 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 36.5106% — below the 40% mark we flag

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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–9-0.0617%30 Oct →
inferno8–80.1034%30 Oct →
inferno9–10.0411%23 Oct →
inferno5–9-0.0923%23 Oct →
inferno8–80.0632%23 Oct →
inferno4–9-0.0814%23 Oct →
inferno9–10.1524%23 Oct →
inferno8–8-0.1123%20 Oct →
inferno8–80.0419%20 Oct →
inferno9–50.1629%20 Oct →
inferno7–90.0617%20 Oct →
inferno9–40.0910%15 Oct →
inferno9–50.2019%15 Oct →
inferno6–9-0.1113%15 Oct →
inferno9–10.2027%15 Oct →
inferno9–50.0517%15 Oct →
inferno9–60.1920%14 Oct →
inferno8–80.0215%14 Oct →
inferno8–8-0.0314%3 Oct →
inferno9–70.0628%3 Oct →
inferno9–70.0938%3 Oct →
vertigo8–130.0815%2 Oct →
rush_0013–7-0.130%30 Sept →
nuke10–130.0112%29 Sept →
inferno9–40.0526%23 Sept →
inferno9–10.2415%23 Sept →
inferno4–9-0.1418%23 Sept →
inferno6–9-0.0230%7 Sept →
inferno9–00.3857%7 Sept →
inferno7–90.0519%7 Sept →
inferno3–9-0.1314%29 Aug →
inferno9–20.0817%29 Aug →
inferno9–10.2330%29 Aug →
mirage13–40.0822%27 Aug →
cache13–100.0023%11 Aug →
inferno3–9-0.0525%9 Aug →
inferno7–9-0.0221%28 Jul →
inferno9–40.1613%28 Jul →
inferno9–10.2021%28 Jul →
inferno8–80.0322%28 Jul →
inferno1–9-0.1632%28 Jul →
inferno9–30.1326%28 Jul →
ancient9–13-0.0117%24 Jul →
cache8–13-0.0511%22 Jul →
inferno13–50.0437%15 Jul →
inferno6–90.0127%13 Jul →
inferno7–9-0.0223%13 Jul →
mirage13–9-0.0815%8 Jul →
mirage5–130.0122%2 Jul →
mirage10–13-0.0233%2 Jun →
anubis8–130.035%22 May →
mirage11–13-0.0112%20 May →
mirage13–7-0.0217%14 May →
mirage14–16-0.0515%10 May →
cache7–130.0227%10 May →
mirage9–130.2130%8 May →
overpass13–100.0415%8 May →
cache13–60.0323%6 May →
anubis13–4-0.0021%5 May →
mirage14–16-0.0017%5 May →
cache6–130.0127%5 May →
cache13–5-0.0229%3 May →
mirage6–13-0.1123%27 Apr →
ancient16–14-0.0024%26 Apr →
anubis13–90.0018%22 Apr →
anubis13–90.0027%21 Apr →
nuke9–130.0223%20 Apr →
nuke2–13-0.0225%19 Apr →
ancient13–40.0117%16 Apr →
dust213–100.0523%15 Apr →
inferno9–40.0017%13 Apr →
mirage13–110.0325%12 Apr →
anubis13–70.0822%3 Apr →
warden13–70.1226%20 Mar →
inferno2–9-0.1116%20 Mar →
nuke13–90.0426%18 Mar →
mirage5–130.0013%17 Mar →
nuke9–130.0518%17 Mar →
nuke13–10.0730%16 Mar →
dust27–130.0120%11 Mar →
nuke6–13-0.0310%25 Feb →
nuke5–130.0010%22 Feb →
dust27–13-0.0021%22 Feb →
nuke16–130.0217%21 Feb →
inferno8–8-0.0327%20 Feb →
nuke13–40.0317%18 Feb →
inferno9–13-0.0321%14 Feb →
mirage5–13-0.0136%14 Feb →
inferno5–90.0756%13 Feb →
inferno8–8-0.0121%13 Feb →
inferno9–70.0819%13 Feb →
inferno8–80.0535%12 Feb →
inferno8–80.1024%12 Feb →
nuke6–13-0.0119%8 Feb →
inferno9–20.1713%7 Feb →
dust210–130.0521%5 Feb →
inferno9–6-0.066%3 Feb →
anubis9–13-0.0613%3 Feb →
anubis13–60.0321%27 Jan →
inferno9–70.0930%26 Jan →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.