p0pdog

p0pdog — CS2 Stats

FI76561198071329428[U:1:111063700]Steam profile ↗✓ No bans

2,696Tracked matches62%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating26,128Top 10% of 204,150 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#11820 of 251243 tracked
FaceitLevel 8 · 1,544 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (5 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: 26,128 +1,970 3 Sept – 6 Oct · 10 days played
23,74826,135peak 26,1353 Sept6 Oct
26,135Peak Premier in tracked matches
1,544Highest Faceit ELO seen on CSDB
18Days played since 2026-09-03

Faceit ELO

  • At peak — 1,544
  • Next: Level 9 at 1,751 — 207 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-20
  • Level 7 first seen 2026-09-20

Premier CS Rating

  • 7 below peak (26,135)
  • +2,380 over 30 days · improving
  • Next: Gold band at 30,000 — 3,872 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-20
  • Purple band first seen 2026-09-20

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.GGp0pdogFACEITLevel 8 · 1,544 ELOSTANDINGTop 31.2% of rankedPREMIER26,128 · Red bandPEAK ELO1,544csdb.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

Aim79
Positioning50
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateWWLWLWLLLL

Last 10 vs previous 10: −10pp win rate · −0.06 avg rating · +0.9pp headshot accuracy · −44ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 555ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 20%
  • Avg reaction 532ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 554ms

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 (+1.8 against its own average).

Aim7.9
Utility5.5
Positioning5.0
Opening Duels2.2
Clutch2.2

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 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Reaction time. 567ms 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

Aim7.9
Positioning5.0
Utility5.5
Mechanics6.2
Opening Duels2.4
Win Impact9.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.02
Reaction time545ms+15ms
first ⅓ avg 530ms → last ⅓ avg 545ms
Headshot accuracy20.1%−1.2%
first ⅓ avg 21.4% → last ⅓ avg 20.1%

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

0.17Best match rating · 9–4 · inferno, 24 Sept →
60%Best headshot accuracy · 1–13 · overpass, 25 Sept →
359msFastest reaction time · 6–9 · inferno, 7 Oct →
13–0Biggest win · mirage, 30 Sept →

Across the last 100 tracked matches.

Highlights

12Longest win streak
W2Current streak
7–6In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 83% over 6cacheWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2213–959%0.00
mirageC188–1044%-0.00
nukeA138–562%0.01
cacheC104–640%0.01
vertigoB105–550%0.02
ancientS65–183%-0.00
dust2B63–350%0.01
overpassA53–260%-0.01
anubisS54–180%0.03
train—43–175%0.04
debris—11–0100%0.09

Across the last 100 tracked matches.

Faceit stats

Combat

2,688Matches
50%Win rate
1.14Avg K/D
79.4ADR
50%Headshot %

Clutches & streaks

31%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4445%0.9114.7
Inferno3352%0.9515.5
Anubis2133%0.8913.9
Ancient1937%0.9215.5
Nuke1765%1.1215.7
Vertigo1030%0.7813.6
Dust2933%0.779.6
Overpass540%1.2316.0

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.

22.2%Headshot accuracy
35.5%Accuracy (enemy spotted)
39.9%Spray accuracy
77.9%Counter-strafing
9.6°Preaim
567msReaction time
35.5%T opening success
43.5%CT opening success
0.64Enemies flashed / flash
12.4%Flash assists
7.63HE damage / grenade
8.37Flashes / 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 35.453% — below the 40% mark we flag

Spend your practice time on Cache

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
overpass13–6-0.0820%9 Oct →
cache13–90.0830%9 Oct →
inferno6–13-0.0316%8 Oct →
ancient13–9-0.0222%8 Oct →
mirage7–13-0.0118%8 Oct →
train6–3-0.0233%8 Oct →
inferno0–9-0.190%8 Oct →
inferno6–9-0.220%7 Oct →
overpass3–13-0.0440%7 Oct →
inferno7–90.0216%7 Oct →
cache6–13-0.0118%7 Oct →
vertigo13–50.0524%7 Oct →
inferno11–13-0.0222%6 Oct →
mirage13–20.0121%6 Oct →
anubis13–80.0220%6 Oct →
cache13–60.0319%6 Oct →
vertigo9–130.0420%6 Oct →
inferno1–13-0.030%6 Oct →
dust29–130.0423%6 Oct →
cache13–11-0.0720%6 Oct →
vertigo9–60.0925%6 Oct →
inferno13–110.0618%5 Oct →
mirage12–120.0818%5 Oct →
dust28–40.0438%5 Oct →
inferno0–9-0.160%5 Oct →
nuke13–7-0.0330%2 Oct →
anubis4–110.0114%2 Oct →
mirage5–13-0.0914%1 Oct →
nuke13–9-0.0236%1 Oct →
dust211–13-0.0429%1 Oct →
inferno13–10-0.0124%1 Oct →
vertigo10–2-0.0114%1 Oct →
mirage13–70.0423%1 Oct →
ancient13–9-0.0116%1 Oct →
mirage13–50.0924%30 Sept →
nuke13–8-0.0022%30 Sept →
cache8–130.079%30 Sept →
vertigo13–10.0111%30 Sept →
mirage13–0-0.0123%30 Sept →
dust29–20.0547%30 Sept →
cache13–110.0023%29 Sept →
nuke2–13-0.0257%29 Sept →
train13–50.1237%29 Sept →
overpass13–20.0114%29 Sept →
vertigo11–130.0425%29 Sept →
mirage11–130.0320%29 Sept →
cache5–13-0.0721%28 Sept →
nuke10–130.0227%28 Sept →
inferno4–9-0.1320%27 Sept →
inferno9–60.0137%27 Sept →
vertigo13–10-0.0141%27 Sept →
anubis13–100.0117%27 Sept →
nuke4–13-0.0510%27 Sept →
mirage1–130.0017%27 Sept →
overpass13–80.0414%27 Sept →
nuke13–6-0.0415%26 Sept →
inferno13–70.1630%25 Sept →
vertigo0–3-0.0250%25 Sept →
train8–130.0313%25 Sept →
overpass1–130.0560%25 Sept →
cache9–130.1135%25 Sept →
ancient13–11-0.0710%25 Sept →
ancient8–130.0722%25 Sept →
mirage5–13-0.0630%25 Sept →
inferno13–60.1122%25 Sept →
cache5–13-0.0124%25 Sept →
nuke13–11-0.0124%25 Sept →
nuke13–110.1220%25 Sept →
nuke12–12-0.0113%24 Sept →
vertigo10–130.0513%24 Sept →
mirage13–80.0213%24 Sept →
inferno13–10.1722%24 Sept →
inferno9–40.1723%24 Sept →
inferno9–40.0624%24 Sept →
inferno13–80.0110%24 Sept →
inferno9–4-0.0022%24 Sept →
debris9–60.0913%24 Sept →
mirage13–110.0223%24 Sept →
mirage13–7-0.0627%24 Sept →
nuke13–90.0217%24 Sept →
ancient13–80.0430%23 Sept →
inferno13–30.0716%23 Sept →
mirage10–13-0.0112%22 Sept →
nuke13–40.0614%22 Sept →
anubis13–40.0630%22 Sept →
mirage6–13-0.0126%22 Sept →
anubis13–40.0529%22 Sept →
mirage6–13-0.077%22 Sept →
inferno13–80.0426%4 Sept →
nuke11–130.0920%4 Sept →
dust25–13-0.0332%4 Sept →
inferno7–20.0030%4 Sept →
mirage13–30.0116%4 Sept →
train13–80.0522%4 Sept →
inferno8–13-0.0326%4 Sept →
vertigo9–13-0.0155%4 Sept →
cache4–13-0.0317%3 Sept →
dust213–8-0.0123%3 Sept →
mirage8–13-0.0119%3 Sept →
ancient13–7-0.0115%3 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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