epifania — CS2 Stats

76561198016206361[U:1:55940633]

1,735Tracked matches45%Win rate2020Tracked since
2,188Hours in CS
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating21,500Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#8323 of 24711 tracked
FaceitLevel 8 · 1,232 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 rate33.9%47.2%49.0%15.1% short
Shot accuracy14.9%12.3%13.1%above
Kill/death ratio1.041.071.080.04 short
Match win rate43.9%46.3%46.9%3.0% short

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

Widest gap: Headshot rate. 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.GGepifaniaFACEITLevel 8 · 1,232 ELOSTANDINGTop 31.2% of rankedPREMIER21,500 · Pink bandcsdb.gg/stats

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Performance scores

Aim71
Positioning50
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY35605Last 10035%Win rateLLLLWWLWWW

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.

Aim7.1
Aggression5.5
Utility5.8
Positioning5.0
Opening Duels1.7
Clutch3.0

Strong CT-side opener

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 90% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T-side openings. Opening success drops from 48% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim7.1
Positioning5.0
Utility5.8
Mechanics6.1
Opening Duels2.3
Win Impact3.3

Composite 5.6/10 (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 rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time593ms−25ms
first ⅓ avg 618ms → last ⅓ avg 593ms
Headshot accuracy15.1%+1.8%
first ⅓ avg 13.3% → last ⅓ avg 15.1%

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

0.15Best rating — ancient 13–3
130Biggest win — nuke
5Longest win streak
L4Current streak
56In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 42% over 24infernoWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
ancientC24101442%0.00
nukeC2071335%-0.01
cacheC156940%0.01
infernoD1221017%-0.01
anubisD113827%0.01
mirageD93633%-0.00
dust242250%-0.04
overpass41325%0.00
debris110100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,880Lifetime kills
1.04K/D
5,092Matches
43.9%Match win rate
33.9%Headshot %
14.9%Shot accuracy · Top 50% of Level 8 players
11,704MVPs
2,188Hours (in match)
6,422Bombs planted
1,187Bombs defused

Most-used weapons

AK-4731,412
AWP18,474
P902,455
P2501,684
FAMAS1,680

Lifetime map wins

10,004inferno
5,391nuke
2,300dust2
2,294train
2,112cbble
860vertigo
234office
110lake

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

Faceit stats

Combat

120Matches
58%Win rate
1.02Avg K/D
83.1ADR
43%Headshot %

Clutches & streaks

35%1v1 clutch win
29%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2756%0.9214.7
Nuke1765%0.8913.1
Inferno1479%1.4317.9
Anubis1242%1.0317.1
Ancient1050%1.1915.2
Dust2667%0.9414.7
Overpass475%1.0615.5
Cache367%0.8612.7

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.

15.5%Headshot accuracy
36.7%Accuracy (enemy spotted)
36.3%Spray accuracy
77.5%Counter-strafing
8.4°Preaim
598msReaction time
25.5%T opening success
48.1%CT opening success
0.65Enemies flashed / flash
4.5%Flash assists
8.94HE damage / grenade
9.84Flashes / 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 25.512% — 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 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.108%28 Aug
nuke8–13-0.0511%28 Aug
ancient7–13-0.077%28 Aug
inferno6–13-0.0515%28 Aug
debris9–40.0710%28 Aug
cache13–60.0424%27 Aug
cache7–13-0.0017%27 Aug
ancient13–70.0317%27 Aug
anubis13–7-0.0120%21 Aug
inferno13–50.0615%21 Aug
inferno15–15-0.0115%21 Aug
nuke4–130.0522%21 Aug
ancient13–10-0.0312%21 Aug
ancient7–130.0413%20 Aug
cache9–130.1019%20 Aug
nuke4–13-0.0115%20 Aug
anubis10–13-0.0211%18 Aug
cache13–60.0222%18 Aug
ancient13–30.1513%18 Aug
ancient16–12-0.0116%18 Aug
mirage7–130.0111%18 Aug
inferno10–13-0.0130%17 Aug
nuke13–90.0214%17 Aug
nuke16–14-0.0413%17 Aug
cache6–13-0.0215%13 Aug
cache6–130.0212%9 Aug
ancient2–130.0115%9 Aug
nuke12–16-0.0119%7 Aug
anubis13–40.0515%7 Aug
cache13–100.0317%7 Aug
ancient13–90.0110%1 Aug
cache13–11-0.0314%1 Aug
ancient15–150.0813%1 Aug
nuke13–110.0414%1 Aug
mirage7–13-0.0113%29 Jul
nuke10–13-0.0412%29 Jul
inferno9–13-0.039%29 Jul
ancient14–160.039%25 Jul
cache7–13-0.0310%25 Jul
ancient12–16-0.0423%25 Jul
nuke10–130.0116%25 Jul
anubis8–130.0618%25 Jul
mirage13–100.1016%25 Jul
nuke9–130.0210%25 Jul
ancient13–20.1021%25 Jul
anubis14–16-0.0414%24 Jul
nuke13–7-0.0216%24 Jul
nuke11–13-0.037%24 Jul
cache13–60.0719%24 Jul
cache8–130.0122%23 Jul
anubis5–13-0.0511%23 Jul
ancient13–100.1013%23 Jul
inferno11–13-0.0016%23 Jul
cache7–130.0418%23 Jul
inferno3–13-0.0111%11 Jul
anubis13–30.1211%11 Jul
cache13–80.107%11 Jul
nuke13–0-0.016%10 Jul
ancient13–110.0110%10 Jul
inferno13–70.049%4 Jul
mirage5–13-0.097%21 Jun
dust23–13-0.138%21 Jun
inferno10–13-0.056%21 Jun
mirage4–13-0.0318%20 Jun
dust213–90.0117%20 Jun
ancient9–13-0.0812%20 Jun
nuke13–40.0615%20 Jun
nuke12–120.029%19 Jun
dust213–16-0.0615%19 Jun
overpass15–15-0.0617%14 Jun
mirage13–70.1011%14 Jun
ancient13–9-0.082%14 Jun
inferno7–13-0.0213%14 Jun
anubis6–130.0111%14 Jun
ancient4–130.0613%14 Jun
nuke1–13-0.0618%14 Jun
ancient1–13-0.1018%13 Jun
mirage10–13-0.0713%13 Jun
inferno11–13-0.0218%13 Jun
overpass6–13-0.089%13 Jun
ancient11–130.0820%13 Jun
mirage7–13-0.0212%9 Jun
ancient7–13-0.0816%5 Jun
overpass5–130.0313%5 Jun
cache12–12-0.0329%5 Jun
nuke8–13-0.0212%30 May
dust216–120.0213%30 May
nuke13–11-0.049%30 May
nuke2–13-0.105%29 May
ancient13–9-0.026%29 May
cache3–13-0.1019%27 May
anubis7–13-0.0615%24 May
mirage13–6-0.0111%24 May
ancient8–130.0711%24 May
overpass13–90.129%24 May
ancient8–13-0.0610%24 May
inferno10–130.0321%23 May
nuke7–13-0.0119%23 May
anubis7–130.0615%23 May
anubis7–13-0.019%23 May

Match data via Leetify.

Recent teammates

Milestones

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