pokerfeyS — CS2 Stats

76561199202822911[U:1:1242557183]

513Tracked matches52%Win rate2021Tracked since
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating21,667Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#9457 of 30343 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGpokerfeySPREMIER21,667 · Pink bandcsdb.gg/stats

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Performance scores

Aim81
Positioning52
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY52399Last 10052%Win rateWLLWWWLTLT

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.1
Aggression5.6
Utility2.7
Positioning5.2
Opening Duels1.2
Clutch6.0

Strong CT-side openerLimited utility dependence

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

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

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 50% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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
Positioning5.2
Utility2.7
Mechanics6.3
Opening Duels2.5
Win Impact5.6

Composite 5.7/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time555ms−8ms
first ⅓ avg 564ms → last ⅓ avg 555ms
Headshot accuracy12.7%+0.6%
first ⅓ avg 12.1% → last ⅓ avg 12.7%

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

0.21Best rating — vertigo 13–4
130Biggest win — vertigo
5Longest win streak
54In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 69% over 16mirageWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
mirageD1741324%0.02
vertigoS1611569%0.04
anubisA149564%0.03
ancientA127558%0.03
nukeB115645%0.05
cacheS96367%0.05
infernoB84450%0.02
dust2D62433%0.02
office43175%0.01
train1010%0.01
stronghold1010%-0.01
italy110100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

66Matches
64%Win rate
1.63Avg K/D
95.8ADR
37%Headshot %

Clutches & streaks

50%1v1 clutch win
30%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust21765%1.6318.5
Mirage1457%2.0018.8
Anubis862%1.4620.6
Ancient4100%1.6922.3
Nuke475%1.5123.0
Inferno450%2.1119.0
Vertigo2100%1.8023.0
Cache1100%3.2032.0

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.

13.0%Headshot accuracy
42.6%Accuracy (enemy spotted)
43.2%Spray accuracy
78.3%Counter-strafing
8.9°Preaim
561msReaction time
19.8%T opening success
50.1%CT opening success
0.31Enemies flashed / flash
1.9%Flash assists
8.40HE damage / grenade
4.91Flashes / 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 12.9966% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3078 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 19.7541% — below the 40% mark we flag

Spend your practice time on Mirage

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

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.0117%14 Aug
anubis11–13-0.008%6 Aug
dust25–13-0.096%6 Aug
cache13–80.109%28 Jul
ancient13–20.049%28 Jul
inferno13–10-0.0120%28 Jul
ancient3–13-0.014%28 Jul
dust212–120.0718%27 Jul
cache5–13-0.0221%22 Jul
anubis12–120.0721%22 Jul
anubis13–70.0425%22 Jul
mirage13–50.0813%15 Jul
mirage8–13-0.0717%15 Jul
mirage10–130.0611%15 Jul
mirage9–13-0.0111%15 Jul
anubis13–9-0.022%15 Jul
ancient13–40.0111%14 Jul
ancient15–15-0.0114%14 Jul
anubis13–10.123%14 Jul
mirage6–130.0112%14 Jul
dust213–11-0.009%14 Jul
inferno13–80.0514%9 Jul
mirage13–30.1014%9 Jul
mirage8–13-0.0514%9 Jul
mirage10–13-0.0410%8 Jul
office13–60.0417%8 Jul
office13–6-0.0217%8 Jul
inferno7–13-0.035%7 Jul
nuke7–130.1018%7 Jul
anubis5–130.0115%7 Jul
vertigo13–80.0110%6 Jul
ancient11–130.0313%6 Jul
nuke13–90.0411%6 Jul
cache13–40.1122%6 Jul
mirage6–13-0.069%5 Jul
ancient7–130.059%5 Jul
nuke9–130.0515%5 Jul
cache13–30.0918%5 Jul
mirage9–13-0.0212%30 Jun
nuke13–60.0728%30 Jun
inferno11–130.0718%30 Jun
anubis13–90.0514%30 Jun
nuke13–90.1314%28 Jun
ancient13–60.0713%27 Jun
anubis13–3-0.0024%27 Jun
vertigo9–130.0114%27 Jun
mirage1–13-0.054%27 Jun
inferno5–13-0.0211%27 Jun
dust213–70.0813%26 Jun
anubis6–130.0015%26 Jun
dust212–120.0514%26 Jun
dust212–120.029%25 Jun
mirage13–40.0915%25 Jun
ancient13–100.0813%25 Jun
nuke9–13-0.0016%25 Jun
train8–130.0117%18 Jun
mirage12–120.0621%10 Jun
vertigo9–10.0716%10 Jun
vertigo9–60.1211%10 Jun
ancient12–12-0.0410%8 Jun
nuke13–50.124%8 Jun
anubis13–80.0714%8 Jun
ancient13–70.0312%7 Jun
inferno11–130.0223%5 Jun
vertigo13–40.219%5 Jun
ancient13–70.0620%4 Jun
mirage13–80.0514%4 Jun
inferno13–10.1014%3 Jun
vertigo13–00.0629%3 Jun
vertigo10–13-0.0318%3 Jun
anubis13–80.0511%30 May
stronghold8–13-0.0114%26 May
italy13–80.0710%26 May
office7–130.0210%13 May
office13–100.0020%13 May
vertigo4–13-0.0314%9 May
cache13–30.034%9 May
cache7–13-0.0415%7 May
cache3–13-0.046%7 May
cache13–110.0815%1 May
cache13–100.1113%1 May
nuke4–8-0.0014%28 Apr
vertigo9–70.107%27 Apr
nuke13–1-0.0215%24 Apr
anubis13–10.049%21 Apr
nuke10–130.0612%21 Apr
nuke7–130.047%20 Apr
anubis5–130.0312%19 Apr
vertigo3–9-0.088%18 Apr
vertigo9–70.0512%18 Apr
vertigo9–70.119%18 Apr
vertigo8–80.0116%18 Apr
vertigo13–90.018%18 Apr
mirage7–130.027%18 Apr
mirage9–130.0510%15 Apr
ancient13–70.0221%15 Apr
vertigo13–80.019%11 Apr
mirage12–120.1313%11 Apr
anubis13–5-0.038%4 Apr
vertigo13–50.089%20 Mar

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 →