Mr. Dog

Mr. Dog — CS2 Stats

76561198354878330[U:1:394612602]Steam profile ↗✓ No bans

714Tracked matches57%Win rate2020Tracked since
1,365Hours in CS41Hrs last 2 wks
CSDB Rating4.0 DevelopingClutch Specialist
Premier CS Rating4,838Grey band · top ~79.5% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (10 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: 4,838 +437 11 Aug – 26 Oct · 17 days played
3,7464,838peak 4,83811 Aug26 Oct
4,838Peak Premier in tracked matches
32Days played since 2026-08-10

Premier CS Rating

  • At peak — 4,838
  • +757 over 30 days · improving
  • +437 over 90 days
  • Next: Light Blue band at 5,000 — 162 to go

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate35.7%38.2%39.9%4.2% short
Shot accuracy8.7%3.6%7.0%above
Kill/death ratio0.810.830.920.10 short
Match win rate44.9%40.2%42.3%above

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

Widest gap: Kill/death ratio. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMr. DogPREMIER4,838 · Grey bandcsdb.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

Aim45
Positioning36
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLLWLLLWWLW

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −3.1pp headshot accuracy · −16ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 5%
  • Avg reaction 600ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 612ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 620ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.5 against its own average).

Aim4.5
Utility4.5
Positioning3.6
Opening Duels0.0
Clutch6.0

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

iM

Plays most like iM 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 603ms 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

Aim4.5
Positioning3.6
Utility4.5
Mechanics6.4
Opening Duels0.1
Win Impact7.2

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time618ms+54ms
first ⅓ avg 564ms → last ⅓ avg 618ms
Headshot accuracy10.9%−0.6%
first ⅓ avg 11.6% → last ⅓ avg 10.9%

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

0.10Best match rating · 13–6 · mirage, 25 Oct →
28%Best headshot accuracy · 8–13 · cache, 27 Aug →
406msFastest reaction time · 7–13 · mirage, 17 Aug →
13–1Biggest win · dust2, 2 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
7–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 67% over 9ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%-0.02
anubisC177–1041%-0.03
ancientD133–1023%-0.04
infernoC114–736%-0.03
dust2S96–367%-0.01
vertigoA85–363%-0.04
cacheD62–433%-0.04
train—44–0100%-0.02
office—32–167%-0.03
nuke—32–167%-0.08
boulder—10–10%-0.06
fachwerk—10–10%-0.06
overpass—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,498Lifetime kills
0.81K/D
1,970Matches
44.9%Match win rate · Top 25% of Grey band
35.7%Headshot %
8.7%Shot accuracy · Top 50% of Grey band
4,296MVPs
713Hours (in match)
1,365Bombs planted
278Bombs defused

Most-used weapons

Lifetime map wins

2,304inferno
1,747dust2
1,234vertigo
1,002nuke
339train
204office
198lake
70cbble

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

Faceit stats

Combat

11Matches
73%Win rate
1.05Avg K/D
78.8ADR
36%Headshot %

Clutches & streaks

50%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2367%0.9111.0
Anubis20%0.6916.0
Mirage2100%1.4619.0
Overpass1100%1.4413.0
Ancient1100%0.9415.0
Inferno1100%1.0013.0
Nuke1100%1.1219.0

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.

10.8%Headshot accuracy
29.7%Accuracy (enemy spotted)
38.5%Spray accuracy
79.0%Counter-strafing
11.9°Preaim
603msReaction time
30.5%T opening success
30.0%CT opening success
0.52Enemies flashed / flash
5.5%Flash assists
6.93HE damage / grenade
8.81Flashes / 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. 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 10.8184% — below the 15% mark we flag

    Aim Training →
  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 30.5455% — 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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient2–13-0.076%4 Nov →
anubis11–13-0.066%4 Nov →
inferno13–90.017%4 Nov →
ancient4–13-0.087%4 Nov →
mirage10–13-0.000%4 Nov →
cache2–10-0.0710%4 Nov →
vertigo6–1-0.058%4 Nov →
anubis13–70.036%3 Nov →
anubis9–13-0.0317%2 Nov →
dust213–7-0.0320%2 Nov →
anubis13–60.017%2 Nov →
train13–8-0.027%2 Nov →
inferno13–110.0312%2 Nov →
ancient13–11-0.0116%2 Nov →
dust213–1-0.0215%2 Nov →
anubis13–8-0.0315%1 Nov →
train13–5-0.046%1 Nov →
boulder2–13-0.0613%1 Nov →
ancient7–13-0.0813%1 Nov →
dust213–80.0216%1 Nov →
mirage13–3-0.009%1 Nov →
vertigo1–7-0.150%1 Nov →
anubis3–13-0.117%1 Nov →
mirage3–13-0.0817%31 Oct →
mirage13–9-0.0916%31 Oct →
anubis13–80.0211%31 Oct →
fachwerk10–13-0.060%31 Oct →
ancient3–13-0.1121%31 Oct →
office13–4-0.0011%31 Oct →
ancient13–5-0.0121%31 Oct →
anubis13–70.0519%31 Oct →
ancient12–12-0.082%31 Oct →
inferno4–13-0.0619%31 Oct →
dust212–12-0.0214%31 Oct →
mirage13–10-0.087%31 Oct →
mirage13–6-0.0315%31 Oct →
mirage13–60.0413%29 Oct →
mirage6–13-0.1011%29 Oct →
anubis13–100.007%28 Oct →
dust27–13-0.046%28 Oct →
anubis13–6-0.037%27 Oct →
anubis12–12-0.0013%27 Oct →
dust213–90.0811%26 Oct →
cache13–8-0.0323%26 Oct →
cache13–9-0.007%26 Oct →
vertigo2–13-0.0128%26 Oct →
ancient11–13-0.0516%26 Oct →
cache12–12-0.0711%25 Oct →
overpass13–9-0.013%25 Oct →
nuke13–3-0.0416%25 Oct →
vertigo13–50.0518%25 Oct →
train13–2-0.0722%25 Oct →
anubis3–13-0.109%25 Oct →
anubis4–13-0.0711%25 Oct →
office2–13-0.056%25 Oct →
anubis2–11-0.015%25 Oct →
mirage13–60.1016%25 Oct →
dust213–9-0.0915%24 Oct →
inferno13–8-0.067%24 Oct →
nuke13–6-0.0412%24 Oct →
mirage4–13-0.0320%24 Oct →
anubis9–13-0.054%22 Oct →
ancient13–6-0.029%22 Oct →
anubis4–13-0.0612%21 Oct →
vertigo8–13-0.0915%21 Oct →
anubis10–13-0.039%19 Oct →
dust26–130.0014%15 Oct →
inferno9–7-0.0211%14 Oct →
dust210–30.039%13 Oct →
mirage9–13-0.088%8 Oct →
inferno7–13-0.087%6 Oct →
mirage8–13-0.0013%27 Sept →
mirage13–9-0.074%9 Sept →
inferno5–13-0.0511%3 Sept →
mirage13–10.099%3 Sept →
vertigo13–7-0.0520%3 Sept →
mirage15–150.0110%3 Sept →
nuke3–13-0.157%27 Aug →
cache8–13-0.0328%27 Aug →
vertigo5–30.0010%27 Aug →
mirage13–4-0.038%27 Aug →
mirage16–13-0.044%23 Aug →
mirage16–14-0.037%23 Aug →
inferno5–13-0.0015%23 Aug →
cache3–13-0.0614%23 Aug →
mirage13–8-0.0216%22 Aug →
ancient5–13-0.0122%22 Aug →
inferno7–13-0.088%19 Aug →
ancient14–16-0.038%18 Aug →
vertigo13–11-0.0417%17 Aug →
inferno9–130.0112%17 Aug →
mirage7–13-0.065%17 Aug →
mirage10–130.0913%17 Aug →
mirage6–13-0.0324%16 Aug →
ancient10–13-0.059%16 Aug →
train11–10.0612%13 Aug →
mirage16–13-0.0210%13 Aug →
ancient9–130.0213%13 Aug →
inferno2–13-0.089%11 Aug →
office13–11-0.049%10 Aug →

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 →

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