яєηηαgα∂єѕ — CS2 Stats

76561199394346333[U:1:1434080605]

806Tracked matches48%Win rate2024Tracked since
CSDB Rating4.6 DevelopingHybrid Rifler
Premier CS Rating3,420Grey band · top ~85.5% of ranked players (population est.)
CSDB Leaderboard#40386 of 51978 tracked
FaceitLevel 4 · 1,000 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGяєηηαgα∂єѕFACEITLevel 4 · 1,000 ELOSTANDINGTop 81.0% of rankedPREMIER3,420 · Grey bandcsdb.gg/stats

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Performance scores

Aim61
Positioning55
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY44479Last 10044%Win rateWLLWWWTLLL

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

Player DNA

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

Aim6.1
Aggression7.5
Utility5.1
Positioning5.5
Opening Duels2.1
Clutch0.0

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

b1t

Plays most like b1t 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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. 571ms 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

Aim6.1
Positioning5.5
Utility5.1
Mechanics5.3
Opening Duels2.1
Win Impact4.4

Composite 4.6/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time584ms−55ms
first ⅓ avg 639ms → last ⅓ avg 584ms
Headshot accuracy15.0%−0.3%
first ⅓ avg 15.3% → last ⅓ avg 15.0%

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

0.27Best rating — poseidon 9–1
131Biggest win — cache
4Longest win streak
25In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 57% over 7infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
poseidonB22111150%-0.02
dust2B20101050%0.04
mirageD103730%-0.00
ancientB105550%0.02
trainA74357%0.01
anubisA74357%0.01
infernoD61517%0.04
cacheC52340%-0.03
nukeC52340%-0.00
vertigo41325%-0.02
overpass110100%-0.06
boulder1010%-0.00
debris1010%-0.04
fachwerk1010%0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

1Matches
0%Win rate
0.43Avg K/D
63.9ADR
67%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

14.0%Headshot accuracy
36.2%Accuracy (enemy spotted)
33.1%Spray accuracy
73.7%Counter-strafing
9.7°Preaim
571msReaction time
32.2%T opening success
44.5%CT opening success
0.55Enemies flashed / flash
4.5%Flash assists
8.79HE damage / grenade
6.37Flashes / 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. 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 13.9943% — below the 15% mark we flag

    Aim Training
  2. 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 32.1544% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
train13–30.0512%28 Aug
anubis11–130.009%28 Aug
mirage7–130.0112%28 Aug
dust213–100.0320%28 Aug
overpass13–11-0.0618%28 Aug
poseidon9–50.0816%28 Aug
poseidon8–8-0.0417%28 Aug
vertigo6–9-0.1227%28 Aug
cache7–13-0.0319%26 Aug
inferno9–130.0515%26 Aug
cache13–1-0.040%26 Aug
dust28–130.0421%26 Aug
mirage5–13-0.0613%26 Aug
vertigo13–100.0223%26 Aug
anubis13–5-0.0115%26 Aug
train13–5-0.0419%26 Aug
ancient13–5-0.026%26 Aug
poseidon2–9-0.1331%26 Aug
poseidon8–8-0.0714%26 Aug
ancient12–12-0.049%20 Aug
mirage12–120.0412%20 Aug
dust213–20.0415%20 Aug
dust213–70.0517%20 Aug
boulder7–13-0.0012%20 Aug
mirage7–130.0713%19 Aug
anubis13–30.0215%19 Aug
dust213–100.1414%19 Aug
nuke5–13-0.0317%19 Aug
dust28–130.0521%19 Aug
cache12–12-0.047%19 Aug
anubis5–130.0815%18 Aug
ancient13–50.1717%18 Aug
mirage9–13-0.029%18 Aug
inferno11–13-0.0010%18 Aug
ancient9–130.0416%18 Aug
mirage9–20.0212%18 Aug
mirage13–2-0.017%17 Aug
dust28–130.1813%17 Aug
train13–50.0711%17 Aug
nuke16–12-0.0113%17 Aug
dust213–80.0616%17 Aug
mirage5–13-0.1015%17 Aug
train8–13-0.0011%17 Aug
dust213–60.038%17 Aug
train0–120.0115%13 Aug
anubis10–1-0.027%13 Aug
ancient13–40.0519%13 Aug
dust213–20.0716%13 Aug
inferno10–130.049%13 Aug
mirage14–16-0.0116%13 Aug
inferno7–130.1213%13 Aug
inferno13–70.0415%13 Aug
dust25–130.0114%13 Aug
poseidon9–60.0319%6 Aug
vertigo11–130.0211%6 Aug
mirage6–00.0314%6 Aug
ancient13–70.0313%6 Aug
nuke9–13-0.0211%6 Aug
cache8–13-0.0117%6 Aug
ancient4–13-0.0213%1 Aug
dust27–13-0.0110%1 Aug
poseidon1–9-0.166%1 Aug
poseidon9–2-0.039%1 Aug
poseidon4–9-0.107%1 Aug
poseidon8–80.107%1 Aug
poseidon5–9-0.0310%1 Aug
poseidon9–20.0915%1 Aug
poseidon0–9-0.2929%1 Aug
poseidon9–7-0.0319%1 Aug
poseidon9–00.0915%1 Aug
poseidon9–10.2716%1 Aug
poseidon9–6-0.0118%1 Aug
train5–13-0.0212%29 Jul
ancient13–8-0.049%29 Jul
dust28–130.0212%29 Jul
poseidon9–5-0.0017%29 Jul
poseidon5–9-0.0910%29 Jul
debris5–9-0.0424%29 Jul
poseidon8–80.0617%29 Jul
dust210–130.0626%29 Jul
poseidon1–9-0.1915%27 Jul
poseidon9–4-0.078%27 Jul
poseidon9–30.0415%27 Jul
ancient12–12-0.058%27 Jul
dust213–50.0915%27 Jul
vertigo3–130.0210%27 Jul
anubis9–130.039%27 Jul
ancient7–130.0513%27 Jul
nuke13–40.088%27 Jul
train13–8-0.0118%27 Jul
dust212–120.0426%27 Jul
cache13–5-0.0117%27 Jul
fachwerk8–130.0116%27 Jul
inferno10–13-0.0213%27 Jul
anubis13–8-0.0512%27 Jul
dust25–13-0.0510%27 Jul
dust213–70.0327%27 Jul
nuke5–13-0.0321%26 Jul
dust211–13-0.0014%26 Jul
dust213–100.029%26 Jul

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 →