DoggoD™

DoggoD™ — CS2 Stats

76561198042671473[U:1:82405745]Steam profile ↗VAC banned

4,114Tracked matches57%Win rate2020Tracked since
4,691Hours in CS
CSDB Rating5.7 SolidPositional Player
Premier CS Rating12,549Blue band · top ~41.4% of ranked players (population est.)
FaceitLevel 4 · 1,374 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 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: 12,549 -2,227 4 Sept – 1 Nov · 19 days played
12,19616,184peak 16,1844 Sept1 Nov
16,445Peak Premier in tracked matches
1,374Highest Faceit ELO seen on CSDB
25Days played since 2026-09-04

Faceit ELO

  • At peak — 1,374
  • Next: Level 8 at 1,531 — 157 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 3,635 below peak (16,184)
  • -773 over 30 days · declining
  • Next: Purple band at 15,000 — 2,451 to go
  • Reached: Purple band · 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 Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate41.3%42.7%43.8%2.5% short
Shot accuracy10.5%11.2%12.0%1.6% short
Kill/death ratio0.930.991.020.08 short
Match win rate43.2%43.9%44.7%1.5% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDoggoD™FACEITLevel 4 · 1,374 ELOSTANDINGTop 81.0% of rankedPREMIER12,549 · Blue bandPEAK ELO1,374csdb.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

Aim69
Positioning62
Utility26

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateWLLLLLWLWL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +1.1pp headshot accuracy · +13ms 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 22%
  • Avg reaction 656ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 656ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 650ms

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).

Aim6.9
Utility2.6
Positioning6.2
Opening Duels5.4
Clutch3.4

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 87% 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.

Reaction time. 649ms 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

Aim6.9
Positioning6.2
Utility2.6
Mechanics6.1
Opening Duels6.5
Win Impact7.2

Composite 5.7/10 (Solid), 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 rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time646ms+27ms
first ⅓ avg 619ms → last ⅓ avg 646ms
Headshot accuracy19.6%+3.9%
first ⅓ avg 15.6% → last ⅓ avg 19.6%

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

0.08Best match rating · 13–5 · nuke, 16 Sept →
40%Best headshot accuracy · 13–0 · nuke, 15 Sept →
406msFastest reaction time · 5–13 · inferno, 2 Oct →
13–0Biggest win · inferno, 29 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 71% over 7infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
nukeA2615–1158%-0.01
infernoD164–1225%-0.02
mirageC145–936%-0.01
ancientB137–654%-0.02
dust2B136–746%-0.02
cacheS75–271%-0.01
anubisB63–350%-0.02
vertigo—41–325%-0.05
train—11–0100%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

204,910Lifetime kills
0.93K/D
10,667Matches
43.2%Match win rate
41.3%Headshot %
10.5%Shot accuracy
24,149MVPs
4,691Hours (in match)
13,187Bombs planted
3,170Bombs defused

Most-used weapons

AK-4760,838
AWP27,073
Negev8,029
P904,413
FAMAS4,014

Lifetime map wins

20,633nuke
16,470vertigo
16,074dust2
13,384inferno
3,953train
620office
428cbble
200lake

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

Faceit stats

Combat

428Matches
50%Win rate
1.00Avg K/D
73.0ADR
39%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke8660%1.1615.9
Ancient7646%0.9315.1
Inferno5958%1.0615.6
Mirage5535%0.8513.2
Dust24347%0.9815.4
Anubis2948%0.9015.1
Overpass1457%0.9314.8
Train1436%0.8011.4

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.

18.6%Headshot accuracy
35.6%Accuracy (enemy spotted)
41.2%Spray accuracy
77.5%Counter-strafing
9.2°Preaim
649msReaction time
59.0%T opening success
52.8%CT opening success
0.22Enemies flashed / flash
0.0%Flash assists
9.09HE damage / grenade
4.80Flashes / 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 0.2169 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–3-0.1015%1 Nov →
nuke9–130.0326%1 Nov →
mirage14–16-0.0120%31 Oct →
mirage12–160.0522%31 Oct →
anubis8–13-0.0226%31 Oct →
anubis6–13-0.0720%31 Oct →
dust213–11-0.0721%31 Oct →
dust27–13-0.0417%30 Oct →
cache13–80.0325%30 Oct →
cache11–13-0.0613%30 Oct →
nuke7–13-0.0419%30 Oct →
dust213–9-0.008%30 Oct →
ancient13–110.0518%30 Oct →
mirage10–130.0427%30 Oct →
dust213–6-0.0516%29 Oct →
mirage7–13-0.0511%29 Oct →
anubis13–11-0.087%29 Oct →
nuke13–90.0223%29 Oct →
vertigo13–7-0.0425%29 Oct →
nuke6–9-0.0739%28 Oct →
nuke13–20.0423%28 Oct →
nuke13–11-0.0032%28 Oct →
mirage13–11-0.0216%28 Oct →
anubis13–100.0114%27 Oct →
nuke10–13-0.028%27 Oct →
nuke13–60.027%27 Oct →
nuke12–10.0326%27 Oct →
ancient14–160.0120%27 Oct →
nuke2–11-0.1025%27 Oct →
nuke13–80.0217%27 Oct →
ancient13–100.0415%26 Oct →
inferno15–15-0.0514%26 Oct →
inferno13–90.0129%18 Oct →
cache13–80.0320%18 Oct →
nuke13–40.0621%18 Oct →
nuke13–20.0333%18 Oct →
dust213–10.0321%18 Oct →
cache13–11-0.0317%17 Oct →
mirage13–50.017%17 Oct →
anubis13–30.0314%17 Oct →
inferno15–19-0.0211%16 Oct →
inferno10–13-0.0919%16 Oct →
dust23–7-0.0420%16 Oct →
inferno8–13-0.0016%16 Oct →
mirage4–13-0.0020%15 Oct →
train13–9-0.0910%13 Oct →
nuke11–13-0.0219%13 Oct →
nuke13–2-0.0518%13 Oct →
nuke5–13-0.0711%4 Oct →
cache1–130.0321%4 Oct →
mirage11–13-0.0322%4 Oct →
nuke14–160.0118%3 Oct →
inferno6–13-0.0810%3 Oct →
mirage16–14-0.0624%3 Oct →
ancient12–12-0.0315%3 Oct →
inferno5–13-0.0224%2 Oct →
dust213–50.0314%2 Oct →
dust28–130.0422%2 Oct →
mirage13–50.0210%2 Oct →
dust26–130.0436%2 Oct →
mirage8–130.0429%2 Oct →
inferno15–150.0231%2 Oct →
dust27–13-0.0717%1 Oct →
mirage11–13-0.097%29 Sept →
inferno15–15-0.049%29 Sept →
nuke9–13-0.0712%29 Sept →
cache13–10-0.0312%29 Sept →
nuke0–13-0.0617%29 Sept →
inferno13–0-0.010%29 Sept →
ancient3–13-0.009%29 Sept →
dust211–13-0.0510%29 Sept →
anubis7–13-0.0114%20 Sept →
inferno8–130.0511%20 Sept →
nuke8–130.009%20 Sept →
ancient13–10-0.015%20 Sept →
mirage13–9-0.0622%20 Sept →
vertigo6–9-0.0414%20 Sept →
cache16–14-0.0111%20 Sept →
ancient13–11-0.048%20 Sept →
dust21–13-0.0529%19 Sept →
ancient6–13-0.0217%19 Sept →
mirage9–13-0.0431%18 Sept →
nuke13–80.0112%18 Sept →
inferno10–130.0112%18 Sept →
ancient8–130.0229%17 Sept →
nuke13–10-0.0312%17 Sept →
inferno13–9-0.0517%16 Sept →
ancient16–13-0.0510%16 Sept →
inferno13–90.0320%16 Sept →
ancient13–16-0.048%16 Sept →
nuke13–50.0827%16 Sept →
nuke13–3-0.0611%16 Sept →
vertigo5–13-0.0818%15 Sept →
nuke13–00.0340%15 Sept →
dust213–8-0.0418%6 Sept →
vertigo6–13-0.0213%4 Sept →
inferno13–16-0.0117%4 Sept →
ancient13–9-0.0314%4 Sept →
inferno10–13-0.0811%4 Sept →
nuke13–70.0821%4 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 →

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