dummmmr dog

dummmmr dog — CS2 Stats

US76561198263902584[U:1:303636856]Steam profile ↗✓ No bans

602Tracked matches41%Win rate2021Tracked since
1,141Hours in CS3Hrs last 2 wks
CSDB Rating6.1 SolidAll-Rounder
Premier CS Rating20,952Top 50% of 175,286 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)
CSDB Leaderboard#62051 of 223905 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (7 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 28 days played since 17 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 20,952 +5,330 20 May11 Sept · 19 days played
15,39222,812peak 22,81220 May11 Sept
22,812Peak Premier in tracked matches
28Days played since 2026-04-17

Premier CS Rating

  • 1,860 below peak (22,812)
  • -493 over 30 days · declining
  • +4,249 over 90 days
  • Next: Red band at 25,000 4,048 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=35,202), 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 playerPink band medianRed band medianvs Red band
Headshot rate39.2%47.0%49.2%10.0% short
Shot accuracy14.5%13.0%13.4%above
Kill/death ratio1.201.081.12above
Match win rate46.4%46.7%48.5%2.1% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

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CSDB.GGdummmmr dogPREMIER20,952 · Pink bandcsdb.gg/stats

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Performance scores

Aim81
Positioning55
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY44497Last 10044%Win rateLWLWLTTLWW

Last 10 vs previous 10: −10pp win rate · +0.07 avg rating · +0.9pp headshot accuracy · −38ms 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

  • 23 · 40% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 19%
  • Avg reaction 517ms

Last 10

  • 442 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 23%
  • Avg reaction 553ms

Last 20

  • 983 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 572ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim8.1
Utility4.3
Positioning5.5
Opening Duels4.6

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

donk

Plays most like donk 92% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim8.1
Positioning5.5
Utility4.3
Mechanics7.9
Opening Duels4.3
Win Impact1.9

Composite 6.1/10 (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 rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time576ms−19ms
first ⅓ avg 595ms → last ⅓ avg 576ms
Headshot accuracy23.3%+4.0%
first ⅓ avg 19.3% → last ⅓ avg 23.3%

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

0.14Best match rating · 10–13 · ancient, 6 Jun
47%Best headshot accuracy · 8–13 · inferno, 6 Jul
422msFastest reaction time · 5–13 · cache, 11 Jul
13–2Biggest win · inferno, 8 Jun

Across the last 100 tracked matches.

Highlights

7Longest win streak
65In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 64% over 11ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
mirageC1881044%0.01
dust2B179853%0.03
ancientC1661038%0.02
infernoC135838%0.03
cacheA117464%0.01
anubisC94544%0.03
nukeA95456%0.04
vertigo2020%0.05
overpass2020%0.04
train1010%-0.02
office1010%0.00
alpine1010%0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,834Lifetime kills
1.20K/D · Top 50% of Pink band
1,729Matches
46.4%Match win rate
39.2%Headshot %
14.5%Shot accuracy · Top 50% of Pink band
4,659MVPs
679Hours (in match)
1,309Bombs planted
324Bombs defused

Most-used weapons

Lifetime map wins

2,986dust2
2,200inferno
1,204nuke
765vertigo
561train
327cbble
171office
61lake

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.

23.5%Headshot accuracy
35.5%Accuracy (enemy spotted)
31.5%Spray accuracy
85.7%Counter-strafing
8.6°Preaim
579msReaction time
39.0%T opening success
55.6%CT opening success
0.50Enemies flashed / flash
7.0%Flash assists
6.03HE damage / grenade
9.22Flashes / 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

    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 39.0016% — 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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient9–130.0612%11 Sept
ancient13–30.1022%11 Sept
vertigo4–130.0415%4 Sept
dust213–50.1220%4 Sept
anubis9–130.0824%4 Sept
dust212–120.1133%18 Aug
dust212–120.0721%18 Aug
dust210–130.0231%11 Aug
ancient13–9-0.0022%8 Aug
mirage13–60.0027%8 Aug
inferno13–4-0.0323%2 Aug
ancient3–13-0.0723%2 Aug
cache13–8-0.0426%2 Aug
mirage7–130.0624%2 Aug
mirage13–8-0.0017%2 Aug
ancient13–4-0.0221%2 Aug
anubis13–80.0024%21 Jul
mirage15–15-0.0219%19 Jul
dust28–13-0.0323%19 Jul
mirage5–130.0420%18 Jul
ancient5–13-0.0224%18 Jul
dust213–80.0331%18 Jul
ancient10–130.0216%18 Jul
dust23–13-0.0723%18 Jul
mirage6–130.0632%18 Jul
anubis6–130.0028%16 Jul
mirage9–130.0523%16 Jul
cache13–60.0128%16 Jul
cache4–13-0.0626%16 Jul
inferno11–13-0.0129%16 Jul
nuke7–130.0728%16 Jul
mirage10–13-0.0019%16 Jul
ancient13–90.0416%15 Jul
nuke4–13-0.0618%15 Jul
inferno8–13-0.0315%15 Jul
mirage13–3-0.0517%15 Jul
nuke6–130.0236%15 Jul
ancient4–13-0.0310%15 Jul
cache7–10.0336%15 Jul
inferno13–40.0619%15 Jul
mirage8–13-0.0328%14 Jul
anubis11–130.0224%11 Jul
ancient13–7-0.0128%11 Jul
cache13–100.0310%11 Jul
anubis13–70.0433%11 Jul
anubis13–100.0131%11 Jul
ancient11–130.0740%11 Jul
dust213–11-0.0023%11 Jul
cache5–13-0.0228%11 Jul
cache16–140.0621%9 Jul
cache13–9-0.0130%9 Jul
mirage13–70.0129%6 Jul
overpass11–130.0528%6 Jul
nuke13–10-0.0344%6 Jul
anubis10–130.0225%6 Jul
dust216–130.0022%6 Jul
nuke13–10-0.0126%6 Jul
inferno8–130.0647%6 Jul
anubis13–80.0214%6 Jul
dust213–90.0041%6 Jul
inferno8–130.0628%6 Jul
dust214–160.0223%4 Jul
inferno16–140.0223%3 Jul
dust26–130.0238%3 Jul
ancient3–13-0.0230%3 Jul
nuke13–80.0632%3 Jul
ancient6–13-0.0217%3 Jul
mirage13–110.0214%3 Jul
inferno13–70.0231%3 Jul
dust213–50.0417%18 Jun
ancient13–90.0417%18 Jun
mirage13–8-0.0415%10 Jun
dust213–60.1213%10 Jun
mirage13–11-0.0117%10 Jun
ancient4–130.0521%10 Jun
mirage12–12-0.0221%8 Jun
inferno13–20.1019%8 Jun
train8–13-0.0217%8 Jun
anubis3–130.0515%8 Jun
cache3–90.1122%6 Jun
office4–130.0020%6 Jun
mirage10–130.0316%6 Jun
ancient10–130.1423%6 Jun
nuke13–90.1219%6 Jun
cache2–13-0.0015%4 Jun
mirage7–130.0216%4 Jun
inferno4–130.0013%4 Jun
nuke6–130.0917%4 Jun
dust213–90.0526%2 Jun
mirage13–30.1430%2 Jun
dust26–130.0117%20 May
dust213–40.0816%20 May
cache13–110.0220%14 May
inferno4–130.0515%12 May
overpass10–130.0218%12 May
inferno8–8-0.0126%12 May
nuke13–60.1018%12 May
vertigo12–120.0531%18 Apr
alpine12–120.1026%17 Apr
inferno7–130.0620%17 Apr

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 →