alfenyx

alfenyx — CS2 Stats

76561198096000402[U:1:135734674]Steam profile ↗✓ No bans

334Tracked matches54%Win rate2023Tracked since
323Hours in CS2Hrs last 2 wks
CSDB Rating3.9 Learning
Premier CS Rating5,116Light Blue band · top ~78.2% of ranked players (population est.)
CSDB Leaderboard#21455 of 27918 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate32.3%40.1%41.7%9.3% short
Shot accuracy5.9%7.6%8.8%2.9% short
Kill/death ratio0.660.920.970.31 short
Match win rate39.0%42.2%43.8%4.8% short

This profile sits below the typical Blue band player on every metric we can compare.

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

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CSDB.GGalfenyxPREMIER5,116 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning41
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateWWWLLLWLWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim4.7
Aggression5.0
Utility2.8
Positioning4.1
Opening Duels0.5

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 76% playstyle similarity

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

Where you differ: lower utility contribution; 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. 667ms 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

Aim4.7
Positioning4.1
Utility2.8
Mechanics6.2
Opening Duels1.0
Win Impact6.2

Composite 3.9/10 (Learning), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time677ms+12ms
first ⅓ avg 665ms → last ⅓ avg 677ms
Headshot accuracy12.9%+3.3%
first ⅓ avg 9.6% → last ⅓ avg 12.9%

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.

Highlights

0.09Best rating — mirage 13–6
130Biggest win — inferno
6Longest win streak
W3Current streak
710In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 63% over 8ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA29161355%-0.01
nukeC1771041%-0.03
ancientC135838%-0.03
dust2A127558%-0.00
infernoB105550%-0.02
cacheA85363%0.01
overpass42250%-0.02
anubis3030%-0.04
office21150%-0.06
vertigo1010%-0.01
train1010%-0.04

Across the last 100 tracked matches.

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

Lifetime stats

6,746Lifetime kills
0.66K/D
551Matches
39.0%Match win rate
32.3%Headshot %
5.9%Shot accuracy
600MVPs
179Hours (in match)
413Bombs planted
81Bombs defused

Most-used weapons

Lifetime map wins

1,092dust2
533nuke
487inferno
222office
119vertigo
26lake
19train
18italy

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

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
33.7%Accuracy (enemy spotted)
31.7%Spray accuracy
78.0%Counter-strafing
10.2°Preaim
667msReaction time
26.5%T opening success
37.6%CT opening success
0.57Enemies flashed / flash
1.9%Flash assists
6.94HE damage / grenade
1.86Flashes / 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 13.0352% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.8618 — below the 4 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 26.523% — 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–100.0413%28 Aug
nuke13–11-0.0513%24 Aug
inferno13–9-0.073%24 Aug
inferno4–13-0.0473%8 Aug
dust210–13-0.0215%7 Aug
anubis9–13-0.046%7 Aug
ancient13–80.0410%7 Aug
dust27–130.017%7 Aug
mirage13–9-0.029%6 Aug
anubis11–13-0.015%6 Aug
ancient15–15-0.077%5 Aug
nuke13–5-0.0514%5 Aug
cache9–13-0.0120%5 Aug
cache13–60.0416%1 Aug
dust213–40.0836%1 Aug
mirage13–11-0.0515%1 Aug
ancient7–13-0.0210%31 Jul
nuke9–130.029%29 Jul
cache13–6-0.0217%29 Jul
nuke9–13-0.0311%29 Jul
nuke12–12-0.0511%29 Jul
nuke13–5-0.032%27 Jul
inferno16–12-0.025%26 Jul
ancient13–3-0.030%26 Jul
mirage13–8-0.0216%26 Jul
inferno11–13-0.0421%26 Jul
inferno8–80.005%26 Jul
mirage12–16-0.0112%25 Jul
mirage14–160.0418%25 Jul
nuke11–130.0210%24 Jul
cache16–130.038%23 Jul
mirage13–10.079%23 Jul
nuke12–12-0.022%22 Jul
mirage9–13-0.0110%22 Jul
mirage5–13-0.0410%20 Jul
ancient13–90.0313%20 Jul
cache14–160.0214%16 Jul
mirage13–9-0.0821%15 Jul
mirage7–13-0.0118%15 Jul
anubis11–13-0.0810%9 Jul
mirage12–3-0.0111%9 Jul
office13–11-0.108%9 Jul
cache8–13-0.0316%9 Jul
overpass3–13-0.0513%8 Jul
dust213–5-0.0619%8 Jul
vertigo1–13-0.0112%2 Jul
ancient11–13-0.0417%29 Jun
ancient6–13-0.0614%29 Jun
nuke0–2-0.030%29 Jun
inferno6–13-0.039%28 Jun
ancient10–13-0.0515%28 Jun
office9–13-0.0313%28 Jun
ancient7–130.0220%28 Jun
mirage16–140.0510%24 Jun
mirage5–13-0.0017%24 Jun
nuke9–13-0.059%23 Jun
inferno13–60.0112%19 Jun
dust211–13-0.0511%18 Jun
inferno0–13-0.0023%18 Jun
mirage13–20.0412%18 Jun
nuke7–13-0.0113%17 Jun
mirage13–7-0.007%13 Jun
dust213–2-0.0112%13 Jun
mirage16–12-0.078%11 Jun
mirage13–90.0414%11 Jun
inferno13–00.023%11 Jun
dust213–70.045%11 Jun
ancient10–13-0.0210%11 Jun
mirage5–13-0.0412%10 Jun
nuke11–13-0.036%10 Jun
nuke13–11-0.067%10 Jun
mirage13–60.0411%9 Jun
mirage13–70.0213%9 Jun
nuke7–13-0.014%9 Jun
mirage5–13-0.098%8 Jun
ancient13–7-0.060%8 Jun
nuke13–7-0.085%8 Jun
mirage10–13-0.0118%6 Jun
mirage13–7-0.0017%5 Jun
dust213–90.0218%5 Jun
dust28–13-0.019%5 Jun
nuke13–30.079%5 Jun
mirage13–80.003%4 Jun
mirage7–13-0.076%3 Jun
overpass13–110.018%3 Jun
cache13–00.0313%29 May
dust213–11-0.077%28 May
mirage7–13-0.118%27 May
overpass13–7-0.0230%26 May
mirage13–60.0915%24 May
overpass6–13-0.0213%24 May
ancient3–13-0.129%24 May
train3–13-0.045%24 May
mirage2–13-0.073%24 May
inferno13–3-0.010%24 May
ancient13–10-0.019%23 May
nuke13–5-0.053%23 May
dust213–90.0011%23 May
dust24–130.0514%23 May
mirage8–13-0.0313%23 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →