Poppa_Dom — CS2 Stats

76561198161426918[U:1:201161190]

974Tracked matches57%Win rate2020Tracked since
4,865Hours in CS10Hrs last 2 wks
CSDB Rating4.8 Developing
Premier CS Rating22,887Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#10300 of 45149 tracked
FaceitLevel 8 · 1,756 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate47.4%47.0%48.5%1.1% short
Shot accuracy16.0%12.7%13.3%above
Kill/death ratio0.731.071.070.35 short
Match win rate38.2%46.4%47.0%8.8% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPoppa_DomFACEITLevel 8 · 1,756 ELOSTANDINGTop 31.2% of rankedPREMIER22,887 · Pink bandcsdb.gg/stats

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Performance scores

Aim58
Positioning48
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY57394Last 10057%Win rateWLWLWWLWLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.8
Aggression7.1
Utility5.0
Positioning4.8
Opening Duels2.0
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 84% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.8
Positioning4.8
Utility5.0
Mechanics2.4
Opening Duels2.0
Win Impact7.4

Composite 4.8/10 (Developing), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time586ms−31ms
first ⅓ avg 617ms → last ⅓ avg 586ms
Headshot accuracy20.1%+1.8%
first ⅓ avg 18.3% → 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.

Highlights

0.19Best rating — ancient 6–0
131Biggest win — dust2
8Longest win streak
510In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 86% over 7nukeWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB34171750%-0.00
mirageS1510567%0.01
nukeC135838%-0.06
anubisS108280%0.04
ancientA95456%0.04
overpassS76186%-0.00
dust2C52340%-0.01
basalt21150%0.06
italy220100%0.02
grail1010%-0.03
palais1010%-0.02
vertigo110100%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

178,088Lifetime kills
0.73K/D
6,192Matches
38.2%Match win rate
47.4%Headshot % · Top 50% of Level 8 players
16.0%Shot accuracy · Top 25% of Level 8 players
10,550MVPs
7,613Hours (in match)
5,019Bombs planted
1,384Bombs defused

Most-used weapons

AK-4789,668
AWP26,176
FAMAS2,066
SSG 081,358
Knife1,346

Lifetime map wins

13,908inferno
3,155train
2,828dust2
2,350nuke
2,110cbble
296vertigo
26italy
16assault

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

Faceit stats

Combat

1,261Matches
51%Win rate
1.03Avg K/D
67.9ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno7755%1.0212.9
Mirage6248%1.0114.5
Ancient4848%0.9613.8
Dust24751%0.9913.4
Nuke3949%0.9112.9
Anubis3531%1.0014.4
Overpass1258%1.0615.8
Train450%0.9113.8

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.

18.2%Headshot accuracy
33.3%Accuracy (enemy spotted)
37.5%Spray accuracy
60.8%Counter-strafing
8.7°Preaim
583msReaction time
33.7%T opening success
42.3%CT opening success
0.53Enemies flashed / flash
5.3%Flash assists
9.65HE damage / grenade
8.45Flashes / 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 33.7306% — below the 40% mark we flag

Spend your practice time on Nuke

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 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno19–170.0318%29 Jul
ancient7–130.0223%29 Jul
inferno13–20.0212%25 Jul
inferno8–13-0.0616%31 May
ancient13–50.0021%27 May
mirage13–60.0525%19 May
inferno9–130.0613%18 May
inferno13–6-0.029%10 May
mirage9–13-0.0114%15 Apr
ancient10–130.0015%4 Apr
inferno13–40.0522%2 Apr
nuke4–13-0.0416%25 Mar
mirage10–70.0731%25 Mar
ancient6–00.1935%25 Mar
dust215–15-0.0517%17 Mar
inferno15–150.0026%8 Mar
mirage8–13-0.0120%8 Mar
inferno11–13-0.0318%3 Mar
overpass13–6-0.0315%28 Feb
mirage13–7-0.0016%28 Feb
anubis13–30.0712%28 Feb
inferno3–13-0.0521%27 Feb
overpass13–8-0.0123%27 Feb
nuke13–9-0.0119%20 Feb
inferno2–13-0.0524%20 Feb
overpass11–13-0.0012%19 Feb
inferno13–8-0.049%17 Feb
mirage13–9-0.0213%15 Feb
overpass4–00.1075%15 Feb
dust210–13-0.0319%15 Feb
inferno3–90.0728%15 Feb
inferno13–2-0.0117%15 Feb
mirage13–50.0315%13 Feb
inferno13–20.1420%13 Feb
ancient13–16-0.0411%13 Feb
mirage13–110.0111%11 Feb
anubis13–80.0418%8 Feb
dust213–10.0215%8 Feb
ancient14–16-0.0115%8 Feb
anubis13–100.0010%25 Jan
inferno11–130.0117%21 Jan
inferno13–7-0.0222%17 Jan
ancient13–20.088%4 Jan
inferno9–130.0114%12 Dec
nuke6–13-0.0514%11 Dec
inferno6–13-0.0521%28 Nov
mirage13–50.0528%26 Nov
inferno12–12-0.0016%11 Nov
overpass13–6-0.0327%7 Nov
mirage13–7-0.0421%6 Nov
inferno13–50.0224%26 Oct
overpass13–100.0120%2 Oct
mirage13–9-0.0122%20 Sept
nuke11–13-0.0713%19 Sept
nuke13–70.027%12 Sept
inferno3–13-0.1112%9 Sept
nuke11–13-0.0031%17 Aug
inferno8–13-0.0511%7 Aug
inferno13–11-0.0211%24 Jul
grail10–13-0.0313%27 Jun
dust213–90.0518%14 Jun
inferno3–13-0.0217%11 Jun
nuke3–13-0.0310%11 Jun
inferno11–13-0.0317%11 May
inferno13–8-0.0314%9 Apr
dust214–16-0.0424%5 Apr
basalt7–130.0121%1 Mar
basalt13–10.1233%1 Mar
anubis7–13-0.0115%26 Feb
italy13–40.0228%24 Feb
inferno13–10-0.0215%23 Feb
italy13–60.0111%22 Jan
anubis1–60.0229%22 Jan
mirage11–13-0.0512%15 Jan
nuke0–9-0.290%11 Jan
palais8–8-0.0226%11 Jan
inferno9–13-0.0424%11 Jan
mirage11–130.0111%15 Dec
anubis13–90.037%24 Nov
nuke13–70.018%28 Sept
overpass13–7-0.0810%10 Aug
nuke4–13-0.140%10 Jun
inferno13–10-0.009%8 Jun
ancient13–10.0926%22 May
inferno13–4-0.020%7 Apr
anubis13–100.1122%5 Apr
nuke8–130.0650%5 Apr
inferno13–9-0.0128%7 Dec
mirage13–60.0621%4 Dec
vertigo13–60.0712%4 Dec
nuke13–7-0.1116%3 Dec
inferno13–50.0730%2 Dec
anubis13–50.0312%29 Nov
anubis13–110.0221%27 Nov
nuke13–7-0.0617%23 Nov
inferno9–130.0120%19 Nov
inferno13–100.0625%17 Nov
ancient13–30.0724%16 Nov
anubis13–110.0619%15 Nov
mirage8–13-0.0325%13 Nov

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 →