felps — CS2 Stats

PROGaimin GladiatorsBrazilRiflerSettings & gear profile →

76561197983031494[U:1:22765766]✓ No bans

2,391Tracked matches66%Win rate2020Tracked since
CSDB Rating7.1 StrongHybrid Rifler
CSDB Leaderboard#36172 of 44262 tracked
FaceitLevel 10 · 3,074 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

3,074Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 3,074
  • Next: 3,500 ELO at 3,500 426 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-28
  • 2,500 ELO first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGfelpsFACEITLevel 10 · 3,074 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,074csdb.gg/stats

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Performance scores

Aim80
Positioning54
Utility62

0–100 skill scores via Leetify.

Recent form

HOT54451Last 10054%Win rateLWWWWWWWWL

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating

Player DNA

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

Aim8.0
Aggression6.4
Utility6.2
Positioning5.4
Opening Duels3.0
Clutch3.2

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 93% playstyle similarity

Most alike: opening-duel success, 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

T-side openings. Opening success drops from 53% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.0
Positioning5.4
Utility6.2
Mechanics7.1
Opening Duels3.0
Win Impact10.0

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time549ms+4ms
first ⅓ avg 545ms → last ⅓ avg 549ms
Headshot accuracy19.4%+0.7%
first ⅓ avg 18.7% → last ⅓ avg 19.4%

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

0.18Best rating — ancient 13–1
130Biggest win — nuke
8Longest win streak
135In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 83% over 6infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A30171357%-0.01
nukeC2181338%-0.03
ancientS2014670%0.01
infernoD103730%-0.02
overpassS75271%-0.01
mirageS65183%0.01
anubisC52340%-0.02
train1010%-0.05

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

3,687Matches
56%Win rate
1.29Avg K/D
97.3ADR
51%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
15Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage127456%1.3120.3
Dust288956%1.3520.5
Ancient32252%1.2620.0
Nuke14061%1.2518.4
Anubis8363%1.1517.6
Inferno7856%1.2718.1
Overpass4461%1.3420.2
Train1443%1.0616.6

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.

19.6%Headshot accuracy
38.7%Accuracy (enemy spotted)
42.0%Spray accuracy
82.0%Counter-strafing
11.5°Preaim
549msReaction time
31.0%T opening success
53.2%CT opening success
0.60Enemies flashed / flash
10.9%Flash assists
5.28HE damage / grenade
14.75Flashes / 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 30.9724% — 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 & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass10–13-0.0016%2 Jul
mirage13–70.0415%25 Jun
mirage16–120.0429%9 Jun
mirage13–30.1120%8 Jun
nuke13–5-0.0219%8 Jun
dust213–60.0723%5 Jun
mirage13–6-0.0819%3 Jun
dust210–60.0317%11 May
ancient13–70.0014%11 May
nuke7–130.0117%11 May
dust23–3-0.0410%11 May
ancient13–100.0021%10 May
overpass2–13-0.0816%10 May
dust211–13-0.0312%10 May
ancient11–130.0614%10 May
inferno8–130.0220%10 May
nuke6–13-0.0526%9 May
anubis14–90.0217%9 May
dust213–9-0.0227%9 May
ancient13–4-0.0423%8 May
dust213–50.0217%8 May
ancient13–100.0016%7 May
mirage16–120.0521%4 May
nuke7–13-0.0213%2 May
dust213–10-0.0119%2 May
overpass13–11-0.0323%2 May
anubis13–11-0.0218%25 Apr
ancient13–11-0.0035%24 Apr
dust216–19-0.0122%24 Apr
ancient4–13-0.0319%19 Apr
dust27–13-0.0531%5 Apr
nuke6–13-0.0715%5 Apr
anubis4–13-0.0520%5 Apr
overpass13–110.0133%5 Apr
nuke13–9-0.0127%5 Apr
dust213–3-0.0217%5 Apr
nuke13–10-0.068%4 Apr
inferno13–11-0.053%4 Apr
dust28–13-0.037%4 Apr
nuke13–10.0118%4 Apr
ancient13–10-0.0330%4 Apr
dust29–13-0.0318%3 Apr
ancient6–13-0.0514%3 Apr
dust213–3-0.0340%2 Apr
ancient13–11-0.0221%2 Apr
nuke6–13-0.0815%30 Mar
dust213–70.0428%30 Mar
ancient8–130.0312%30 Mar
dust24–13-0.0418%30 Mar
inferno13–6-0.0026%29 Mar
nuke13–11-0.0719%26 Mar
inferno13–80.0412%26 Mar
ancient12–16-0.0511%26 Mar
nuke6–13-0.0619%26 Mar
dust213–110.0327%26 Mar
overpass13–10-0.0113%26 Mar
nuke7–13-0.0630%14 Mar
dust29–13-0.039%14 Mar
ancient13–80.0222%13 Mar
ancient16–14-0.0020%13 Mar
dust213–7-0.0025%13 Mar
nuke8–13-0.0119%13 Mar
inferno5–130.0127%8 Mar
dust21–5-0.050%4 Mar
dust213–110.0217%4 Mar
nuke4–13-0.0543%4 Mar
nuke4–13-0.0522%3 Mar
dust214–16-0.0519%3 Mar
dust213–9-0.0427%2 Mar
ancient13–10-0.0128%2 Mar
nuke11–13-0.0216%2 Mar
inferno10–13-0.0314%1 Mar
dust24–10-0.0426%1 Mar
dust21–3-0.100%1 Mar
nuke13–16-0.0416%6 Feb
mirage4–13-0.0713%4 Feb
inferno9–13-0.0521%25 Jan
ancient10–13-0.0216%25 Jan
anubis9–13-0.0421%25 Jan
overpass13–100.0318%24 Jan
dust216–140.0220%24 Jan
ancient16–140.0117%24 Jan
nuke7–6-0.0325%24 Jan
inferno3–13-0.0323%24 Jan
nuke8–40.0214%24 Jan
dust213–8-0.0025%22 Jan
ancient13–10.0513%22 Jan
nuke13–00.0522%22 Jan
dust213–20.0915%22 Jan
nuke5–13-0.0318%16 Jan
inferno10–13-0.0810%16 Jan
dust213–70.0218%15 Jan
ancient13–100.0518%15 Jan
inferno9–130.0221%14 Jan
anubis9–130.0026%14 Jan
dust213–8-0.0121%6 Jan
train5–13-0.0513%21 Nov
ancient13–10.1822%21 Nov
dust213–160.0121%21 Nov
overpass13–80.0321%21 Nov

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
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