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Yarael Poof — CS2 Stats

76561198163597995[U:1:203332267]✓ No bans

1,029Tracked matches52%Win rate2023Tracked since
CSDB Rating3.8 Learning
Premier CS Rating18,089Purple band · top ~16.1% of ranked players (population est.)
CSDB Leaderboard#14147 of 27588 tracked
FaceitLevel 4 · 986 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGYarael PoofFACEITLevel 4 · 986 ELOSTANDINGTop 81.0% of rankedPREMIER18,089 · Purple bandcsdb.gg/stats

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Performance scores

Aim41
Positioning39
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateWWLWLLWLLL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim4.1
Aggression2.4
Utility2.8
Positioning3.9
Opening Duels0.0
Clutch6.6

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

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 648ms 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

Aim4.1
Positioning3.9
Utility2.8
Mechanics5.4
Opening Duels0.0
Win Impact5.6

Composite 3.8/10 (Learning), 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-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time647ms−61ms
first ⅓ avg 708ms → last ⅓ avg 647ms
Headshot accuracy14.3%+2.4%
first ⅓ avg 11.9% → last ⅓ avg 14.3%

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 — poseidon 9–1
13–1Biggest win — cache
10Longest win streak
W2Current streak
9–10In matches decided by ≤2 rounds
4Overtime games

Map breakdown

officeBest map · 69% over 13infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB2211–1150%-0.04
ancientA1610–663%-0.02
officeS139–469%-0.02
cacheS128–467%-0.02
infernoD103–730%-0.07
dust2B63–350%-0.01
anubisB63–350%-0.04
mirageA53–260%-0.03
warden—32–167%-0.07
vertigo—21–150%-0.05
train—11–0100%0.06
debris—11–0100%-0.02
sanctum—11–0100%-0.05
overpass—11–0100%0.10
poseidon—11–0100%0.21

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

67Matches
46%Win rate
0.86Avg K/D
66.8ADR
41%Headshot %

Clutches & streaks

53%1v1 clutch win
21%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient2330%0.8113.3
Nuke1656%0.8915.1
Train1040%0.8412.7
Anubis862%0.9012.0
Overpass771%0.9112.0
Inferno20%0.9820.0
Dust21100%0.7923.0

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.

14.4%Headshot accuracy
29.6%Accuracy (enemy spotted)
34.0%Spray accuracy
74.2%Counter-strafing
10.8°Preaim
648msReaction time
23.5%T opening success
30.0%CT opening success
0.34Enemies flashed / flash
2.5%Flash assists
7.27HE damage / grenade
1.46Flashes / 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 14.3922% — 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 0.3446 — 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 23.4944% — below the 40% mark we flag

Spend your practice time on Inferno

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–80.0215%27 Aug →
ancient13–9-0.079%27 Aug →
nuke11–13-0.0314%27 Aug →
cache13–11-0.0614%26 Aug →
ancient3–13-0.0531%26 Aug →
nuke8–13-0.0516%25 Aug →
cache13–110.0017%23 Aug →
nuke8–13-0.0012%23 Aug →
ancient10–13-0.0312%21 Aug →
dust22–13-0.0313%18 Aug →
train13–80.0618%18 Aug →
nuke13–80.0012%18 Aug →
ancient8–13-0.109%18 Aug →
cache13–100.018%14 Aug →
ancient13–90.0225%14 Aug →
ancient8–13-0.122%12 Aug →
ancient16–13-0.038%11 Aug →
nuke7–13-0.0327%11 Aug →
office13–110.0121%11 Aug →
cache13–10.1222%10 Aug →
nuke13–9-0.0422%10 Aug →
inferno9–13-0.0811%5 Aug →
nuke6–13-0.0124%5 Aug →
nuke13–7-0.0622%5 Aug →
inferno9–13-0.0311%3 Aug →
anubis1–13-0.087%3 Aug →
inferno9–6-0.0411%3 Aug →
inferno0–9-0.255%30 Jul →
nuke1–13-0.0812%30 Jul →
anubis13–60.0311%27 Jul →
debris9–7-0.0211%27 Jul →
nuke0–9-0.2714%27 Jul →
cache13–9-0.037%26 Jul →
nuke15–15-0.089%26 Jul →
ancient13–30.0910%26 Jul →
ancient13–100.0412%25 Jul →
ancient5–13-0.0218%25 Jul →
cache13–6-0.1113%22 Jul →
cache13–6-0.0214%20 Jul →
dust213–11-0.0313%20 Jul →
ancient13–50.022%19 Jul →
cache8–13-0.0218%15 Jul →
warden13–6-0.0713%1 Jul →
office13–4-0.140%1 Jul →
dust211–130.0223%29 Jun →
ancient13–2-0.0011%29 Jun →
nuke13–100.0112%23 Jun →
nuke13–90.0113%23 Jun →
anubis4–13-0.068%23 Jun →
cache7–13-0.036%22 Jun →
warden13–11-0.0412%21 Jun →
office11–13-0.036%21 Jun →
inferno11–13-0.0325%10 Jun →
office13–6-0.0525%10 Jun →
inferno9–13-0.0510%9 Jun →
nuke11–13-0.0015%9 Jun →
office13–5-0.0421%9 Jun →
nuke13–4-0.0516%8 Jun →
dust213–11-0.0216%6 Jun →
mirage5–13-0.1013%1 Jun →
office12–12-0.0413%1 Jun →
inferno13–9-0.0010%31 May →
office13–9-0.0114%31 May →
ancient19–16-0.067%31 May →
nuke13–8-0.0017%21 May →
office11–13-0.1019%21 May →
ancient13–3-0.0213%13 May →
nuke9–13-0.0210%13 May →
office13–100.0518%13 May →
warden9–13-0.1110%12 May →
inferno6–13-0.1113%12 May →
mirage11–130.0319%12 May →
dust213–60.0117%10 May →
nuke13–6-0.0311%10 May →
ancient13–11-0.065%10 May →
anubis1–13-0.077%10 May →
nuke13–70.0412%8 May →
mirage13–11-0.0510%6 May →
nuke7–13-0.0311%6 May →
office10–13-0.0414%30 Apr →
inferno1–9-0.0711%30 Apr →
cache5–13-0.0715%30 Apr →
dust214–16-0.0215%29 Apr →
cache11–13-0.0311%29 Apr →
anubis13–8-0.093%28 Apr →
nuke13–10-0.086%28 Apr →
office6–00.1413%28 Apr →
ancient11–13-0.016%26 Apr →
mirage13–8-0.045%26 Apr →
mirage13–20.0218%25 Apr →
anubis13–80.016%25 Apr →
sanctum9–6-0.0518%24 Apr →
overpass9–40.1018%24 Apr →
poseidon9–10.2111%24 Apr →
vertigo9–3-0.105%24 Apr →
nuke9–50.0015%24 Apr →
inferno9–5-0.0114%24 Apr →
office13–70.029%20 Apr →
vertigo4–13-0.0117%16 Apr →
office13–9-0.0220%16 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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