Dumb Dog

Dumb Dog — CS2 Stats

US76561198965412038[U:1:1005146310]Steam profile ↗✓ No bans

1,371Tracked matches39%Win rate2020Tracked since
CSDB Rating5.9 SolidPositional Player
Premier CS Rating17,569Purple band · top ~18.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 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: 17,569 +2,034 29 Aug – 24 Oct · 19 days played
15,53518,581peak 18,58129 Aug24 Oct
Faceit ELO: 461 +0 29 Aug – 7 Oct · 4 observations
461461peak 46129 Aug7 Oct
18,722Peak Premier in tracked matches
461Highest Faceit ELO seen on CSDB
23Days played since 2026-08-29

Faceit ELO

  • At peak — 461
  • 0 over 30 days · steady
  • Next: Level 2 at 501 — 40 to go

Premier CS Rating

  • 1,012 below peak (18,581)
  • -706 over 30 days · declining
  • Next: Pink band at 20,000 — 2,431 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGDumb DogPREMIER17,569 · Purple band30 DAYS0 ELOPEAK ELO461csdb.gg/stats

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Performance scores

Aim67
Positioning61
Utility55

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLLLLLLTWLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +3.0pp headshot accuracy · −29ms reaction

Win rate down 40pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 589ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 596ms

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 (+2.3 against its own average).

Aim6.7
Utility5.5
Positioning6.1
Opening Duels3.7
Clutch0.0

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 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 587ms 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

Aim6.7
Positioning6.1
Utility5.5
Mechanics7.2
Opening Duels5.9
Win Impact1.4

Composite 5.9/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time585ms+6ms
first ⅓ avg 579ms → last ⅓ avg 585ms
Headshot accuracy17.7%−1.4%
first ⅓ avg 19.1% → last ⅓ avg 17.7%

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

0.15Best match rating · 13–10 · cache, 7 Oct →
47%Best headshot accuracy · 9–13 · anubis, 6 Oct →
445msFastest reaction time · 8–13 · cache, 8 Oct →
13–2Biggest win · train, 26 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L6Current streak
6–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 62% over 13anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C219–1243%0.01
nukeB209–1145%0.01
mirageA138–562%-0.01
infernoB136–746%0.00
cacheC94–544%0.01
anubisD93–633%-0.00
ancient—44–0100%0.02
train—43–175%0.03
overpass—32–167%-0.01
vertigo—20–20%-0.01
office—20–20%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

78Matches
38%Win rate
0.77Avg K/D
80.2ADR
42%Headshot %

Clutches & streaks

14%1v1 clutch win
29%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage540%1.0618.0
Dust2475%0.9914.8
Nuke333%0.8014.7
Inferno250%0.9619.5
Vertigo10%1.2525.0
Ancient1100%1.0011.0
Cache10%0.9521.0
Anubis1100%1.5015.0

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.

18.1%Headshot accuracy
32.9%Accuracy (enemy spotted)
38.0%Spray accuracy
82.2%Counter-strafing
10.6°Preaim
587msReaction time
60.2%T opening success
46.9%CT opening success
0.59Enemies flashed / flash
7.0%Flash assists
8.74HE damage / grenade
13.01Flashes / match

Recommended for you

Spend your practice time on Anubis

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke5–130.0236%27 Oct →
nuke8–130.0229%27 Oct →
overpass8–13-0.056%27 Oct →
dust29–13-0.0114%27 Oct →
vertigo6–13-0.0120%27 Oct →
nuke3–13-0.0514%26 Oct →
office12–12-0.0622%26 Oct →
overpass13–40.0416%26 Oct →
nuke9–13-0.0411%26 Oct →
nuke5–13-0.0217%26 Oct →
ancient13–110.0814%26 Oct →
cache13–100.0016%26 Oct →
train13–20.0616%26 Oct →
dust213–60.0615%26 Oct →
mirage5–13-0.0911%26 Oct →
inferno13–16-0.0022%24 Oct →
dust24–130.0119%22 Oct →
dust212–120.0319%22 Oct →
dust26–13-0.0317%21 Oct →
dust213–110.076%21 Oct →
nuke8–130.0830%17 Oct →
mirage2–13-0.0124%17 Oct →
nuke13–50.0315%17 Oct →
nuke13–80.0126%17 Oct →
inferno13–70.0124%17 Oct →
anubis6–130.0111%17 Oct →
inferno13–90.0512%16 Oct →
dust214–160.0131%16 Oct →
anubis11–13-0.0215%12 Oct →
mirage16–14-0.0315%12 Oct →
cache8–130.005%12 Oct →
nuke13–8-0.0115%12 Oct →
nuke13–50.0522%10 Oct →
dust213–80.0214%10 Oct →
inferno1–9-0.2221%10 Oct →
mirage6–130.018%10 Oct →
inferno16–120.1021%9 Oct →
dust23–13-0.0819%9 Oct →
cache8–13-0.0119%8 Oct →
cache13–100.1531%7 Oct →
dust213–60.0225%6 Oct →
mirage14–16-0.0315%6 Oct →
inferno13–3-0.0245%6 Oct →
mirage13–90.0729%6 Oct →
anubis9–130.0423%6 Oct →
anubis10–130.0023%6 Oct →
train2–13-0.0330%6 Oct →
nuke8–13-0.0418%6 Oct →
anubis9–13-0.0447%6 Oct →
mirage13–100.1326%6 Oct →
overpass13–3-0.0321%6 Oct →
cache13–4-0.0015%5 Oct →
anubis9–130.0312%5 Oct →
dust213–80.0136%5 Oct →
mirage13–4-0.0119%5 Oct →
ancient13–30.0410%5 Oct →
office3–13-0.0727%4 Oct →
inferno4–130.038%4 Oct →
mirage13–8-0.018%4 Oct →
dust213–80.0213%4 Oct →
inferno12–16-0.0117%4 Oct →
dust213–30.0420%3 Oct →
inferno6–130.0021%3 Oct →
dust213–60.0513%3 Oct →
mirage3–13-0.0620%2 Oct →
inferno13–80.0314%2 Oct →
dust28–13-0.0318%1 Oct →
nuke14–16-0.0215%1 Oct →
nuke13–70.0228%1 Oct →
mirage13–7-0.0416%1 Oct →
nuke5–13-0.0217%1 Oct →
nuke13–10-0.0111%1 Oct →
dust212–120.0819%1 Oct →
cache12–160.0315%1 Oct →
cache14–16-0.0214%24 Sept →
ancient13–4-0.0325%24 Sept →
anubis13–70.0018%24 Sept →
train13–7-0.0117%23 Sept →
nuke13–110.0816%23 Sept →
inferno8–130.0719%23 Sept →
vertigo7–13-0.0024%23 Sept →
nuke5–13-0.0327%23 Sept →
nuke9–13-0.0332%23 Sept →
mirage13–60.0214%23 Sept →
ancient13–5-0.0118%23 Sept →
dust213–90.0213%23 Sept →
cache7–13-0.0418%23 Sept →
dust210–130.0517%23 Sept →
inferno9–130.0523%23 Sept →
anubis13–9-0.0111%23 Sept →
cache16–14-0.0121%23 Sept →
inferno13–8-0.0310%23 Sept →
anubis13–7-0.045%23 Sept →
dust23–13-0.0527%20 Sept →
train13–110.1017%20 Sept →
nuke13–40.1133%20 Sept →
nuke13–90.1223%20 Sept →
dust24–13-0.0424%19 Sept →
mirage13–8-0.0128%19 Sept →
dust210–13-0.0216%18 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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