CockDog7

CockDog7 — CS2 Stats

76561198351639213[U:1:391373485]Steam profile ↗✓ No bans

927Tracked matches48%Win rate2025Tracked since
CSDB Rating5.7 SolidSupport
CSDB Leaderboard#69157 of 252578 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

+98Tracked matches · now 927
−1.9ppWin rate · 50.0% → 48.1%

Rating over time

Premier CS Rating: 20,880 +0 30 Aug – 3 Sept · 2 observations
20,88020,880peak 20,88030 Aug3 Sept
20,880Peak Premier on CSDB
31Days played since 2026-08-16

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim52
Positioning64
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY48–42–10Last 10048%Win rateLLLLLWWWWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +5.7pp headshot accuracy · +1ms reaction

Win rate 0pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 589ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 595ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 595ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim5.2
Utility6.4
Positioning6.4
Opening Duels4.7
Clutch2.6

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

jL

Plays most like jL 70% 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 599ms 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

Aim5.2
Positioning6.4
Utility6.4
Mechanics5.2
Opening Duels7.0
Win Impact4.4

Composite 5.7/10 (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 rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time602ms+1ms
first ⅓ avg 601ms → last ⅓ avg 602ms
Headshot accuracy14.8%−4.3%
first ⅓ avg 19.1% → last ⅓ avg 14.8%

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

0.27Best match rating · 1–1 · office, 13 Sept →
50%Best headshot accuracy · 1–1 · office, 13 Sept →
328msFastest reaction time · 1–1 · office, 13 Sept →
13–1Biggest win · mirage, 15 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L5Current streak
8–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 75% over 8ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C218–1338%-0.00
infernoC166–1038%0.00
nukeC146–843%0.01
ancientD124–833%0.00
cacheS128–467%-0.01
mirageA117–464%0.01
anubisS86–275%0.03
office—31–233%0.13
vertigo—22–0100%0.01
train—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
50%Win rate
0.77Avg K/D
72.1ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%0.417.0
Dust210%1.1317.0

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.

14.2%Headshot accuracy
30.8%Accuracy (enemy spotted)
33.1%Spray accuracy
73.6%Counter-strafing
9.2°Preaim
599msReaction time
61.5%T opening success
54.3%CT opening success
0.61Enemies flashed / flash
8.7%Flash assists
11.22HE damage / grenade
7.17Flashes / 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 14.2095% — below the 15% mark we flag

    Aim Training →
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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno2–13-0.0724%17 Oct →
dust27–130.0116%17 Oct →
inferno10–13-0.0110%17 Oct →
nuke8–13-0.0216%16 Oct →
ancient7–130.0221%16 Oct →
cache13–70.0120%15 Oct →
ancient13–20.1020%15 Oct →
nuke13–20.0733%14 Oct →
cache13–4-0.0116%14 Oct →
mirage13–11-0.0513%13 Oct →
cache13–11-0.0323%13 Oct →
dust213–70.0413%13 Oct →
train11–13-0.0410%13 Oct →
ancient9–13-0.0210%12 Oct →
inferno7–13-0.0214%12 Oct →
cache13–30.0911%12 Oct →
mirage13–40.0316%12 Oct →
dust212–120.0010%12 Oct →
anubis13–40.019%10 Oct →
nuke12–12-0.0415%10 Oct →
ancient9–13-0.0314%9 Oct →
dust22–13-0.0212%9 Oct →
dust28–13-0.075%7 Oct →
ancient15–15-0.0213%5 Oct →
dust27–13-0.088%4 Oct →
mirage13–80.0211%4 Oct →
cache13–7-0.0322%4 Oct →
ancient13–70.0510%4 Oct →
mirage10–13-0.0210%4 Oct →
cache3–13-0.0611%4 Oct →
inferno12–120.0416%4 Oct →
inferno7–30.1023%3 Oct →
inferno13–80.0313%2 Oct →
dust27–13-0.0513%2 Oct →
nuke6–13-0.006%29 Sept →
ancient9–130.0513%29 Sept →
dust25–130.029%29 Sept →
inferno11–13-0.038%28 Sept →
dust213–11-0.0319%28 Sept →
dust213–70.0514%28 Sept →
inferno6–13-0.0912%28 Sept →
anubis13–90.0313%27 Sept →
dust213–110.0015%27 Sept →
inferno13–20.0611%27 Sept →
nuke13–10-0.0215%27 Sept →
mirage4–130.0116%26 Sept →
nuke13–110.0015%26 Sept →
inferno6–13-0.0526%26 Sept →
cache9–13-0.0212%26 Sept →
inferno2–00.0820%26 Sept →
ancient8–13-0.0819%26 Sept →
nuke3–13-0.1221%25 Sept →
dust25–13-0.0311%25 Sept →
cache9–13-0.0413%25 Sept →
dust23–70.0823%24 Sept →
vertigo13–9-0.0512%24 Sept →
cache13–10-0.0312%24 Sept →
dust213–110.0715%23 Sept →
dust26–13-0.0115%23 Sept →
mirage13–50.0619%23 Sept →
anubis13–40.0416%23 Sept →
anubis10–130.0217%22 Sept →
dust213–9-0.0214%21 Sept →
ancient12–12-0.0327%21 Sept →
nuke9–130.0219%21 Sept →
office13–60.0810%21 Sept →
anubis13–90.0616%20 Sept →
dust27–13-0.0411%20 Sept →
ancient9–13-0.0131%20 Sept →
nuke13–110.0722%20 Sept →
inferno8–130.0112%20 Sept →
dust29–13-0.0118%20 Sept →
mirage12–120.0215%19 Sept →
anubis12–120.0421%19 Sept →
nuke13–60.1116%19 Sept →
dust24–13-0.0218%19 Sept →
inferno0–6-0.0518%19 Sept →
nuke12–120.0011%17 Sept →
dust27–10.0619%17 Sept →
anubis13–5-0.0215%17 Sept →
mirage13–5-0.0110%17 Sept →
inferno13–9-0.0014%17 Sept →
cache10–10.0044%17 Sept →
anubis13–80.0315%16 Sept →
dust213–60.0323%16 Sept →
cache12–12-0.0717%15 Sept →
mirage13–1-0.0615%15 Sept →
vertigo13–80.0720%14 Sept →
inferno13–100.0220%14 Sept →
nuke12–120.0027%13 Sept →
mirage13–90.1120%13 Sept →
nuke11–130.0218%13 Sept →
ancient13–10-0.0514%13 Sept →
mirage6–130.0611%13 Sept →
office1–10.2750%13 Sept →
inferno7–13-0.0116%11 Sept →
cache4–10.070%11 Sept →
nuke13–7-0.0134%11 Sept →
office7–130.0321%16 Aug →
ancient13–30.0313%16 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.