Feronn

Feronn — CS2 Stats

76561198051534466[U:1:91268738]Steam profile ↗✓ No bans

1,172Tracked matches55%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
FaceitLevel 9 · 1,906 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

+73Faceit ELO · 1,833 → 1,906

Rating over time

1,906Highest Faceit ELO seen on CSDB
36Days played since 2026-07-30

Faceit ELO

  • At peak — 1,906
  • Next: Level 10 at 2,001 — 95 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGFeronnFACEITLevel 9 · 1,906 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,906csdb.gg/stats

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Performance scores

Aim82
Positioning58
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLWLLWLLLWW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −8.0pp headshot accuracy · −11ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 510ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 487ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 492ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim8.2
Utility6.7
Positioning5.8
Opening Duels2.7
Clutch3.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.2
Positioning5.8
Utility6.7
Mechanics6.3
Opening Duels3.4
Win Impact6.7

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time503ms−63ms
first ⅓ avg 566ms → last ⅓ avg 503ms
Headshot accuracy26.0%+1.0%
first ⅓ avg 25.0% → last ⅓ avg 26.0%

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.

Personal bests

0.18Best match rating · 13–7 · mirage, 14 Sept →
43%Best headshot accuracy · 19–17 · nuke, 19 Oct →
391msFastest reaction time · 4–13 · ancient, 22 Oct →
13–2Biggest win · nuke, 1 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
14–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 67% over 12anubisWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
anubisC208–1240%0.01
infernoA1811–761%0.04
ancientA1710–759%0.03
mirageS128–467%0.03
cacheB105–550%0.02
nukeB84–450%0.03
dust2—40–40%-0.02
vertigo—42–250%-0.02
train—20–20%0.02
boulder—20–20%0.03
debris—20–20%-0.00
office—11–0100%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,161Matches
51%Win rate
1.24Avg K/D
81.8ADR
49%Headshot %

Clutches & streaks

39%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis14548%1.2717.2
Ancient11558%1.3017.3
Inferno9447%1.2617.6
Mirage7744%1.1115.3
Vertigo6265%1.3118.0
Nuke4947%1.3717.5
Dust22446%1.0214.3
Cache1644%1.3715.3

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.

26.1%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.9%Spray accuracy
78.6%Counter-strafing
9.4°Preaim
504msReaction time
43.9%T opening success
43.7%CT opening success
0.66Enemies flashed / flash
7.1%Flash assists
7.30HE damage / grenade
16.25Flashes / match

Recommended for you

Spend your practice time on Anubis

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

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–130.0213%4 Nov →
inferno16–140.0312%3 Nov →
anubis10–13-0.0335%3 Nov →
train6–13-0.0515%2 Nov →
nuke13–20.1026%1 Nov →
anubis6–130.0014%30 Oct →
anubis7–13-0.0219%27 Oct →
cache1–13-0.0526%27 Oct →
inferno13–50.0122%27 Oct →
ancient13–110.0420%25 Oct →
anubis6–13-0.0122%25 Oct →
ancient13–11-0.0427%25 Oct →
mirage13–100.0533%24 Oct →
cache13–80.1018%23 Oct →
mirage5–130.0024%22 Oct →
ancient4–130.0138%22 Oct →
anubis13–90.0325%22 Oct →
anubis13–110.0731%22 Oct →
ancient5–13-0.0421%19 Oct →
nuke19–170.0343%19 Oct →
nuke11–13-0.0228%16 Oct →
inferno13–40.1024%16 Oct →
anubis7–130.0927%16 Oct →
anubis13–9-0.0222%12 Oct →
inferno8–130.0124%12 Oct →
ancient13–110.0533%11 Oct →
inferno13–60.0436%11 Oct →
office13–7-0.0133%11 Oct →
cache13–60.0731%11 Oct →
train12–120.0934%10 Oct →
mirage9–13-0.0020%8 Oct →
ancient13–60.0335%8 Oct →
anubis7–130.0030%8 Oct →
dust215–15-0.0323%8 Oct →
ancient9–13-0.0018%7 Oct →
inferno13–160.0433%7 Oct →
mirage13–8-0.0124%3 Oct →
inferno11–130.0930%3 Oct →
boulder10–130.0323%3 Oct →
anubis8–130.0123%29 Sept →
ancient13–40.096%29 Sept →
inferno13–20.1529%29 Sept →
vertigo6–13-0.0825%19 Sept →
anubis13–60.0315%18 Sept →
cache4–13-0.0219%18 Sept →
inferno9–130.0131%18 Sept →
nuke13–160.0224%17 Sept →
dust23–13-0.0226%17 Sept →
cache8–13-0.0216%16 Sept →
mirage13–70.1812%14 Sept →
ancient8–130.0133%14 Sept →
vertigo16–12-0.0221%14 Sept →
anubis12–16-0.0226%13 Sept →
cache13–10-0.0117%13 Sept →
anubis8–130.0329%12 Sept →
mirage13–20.0636%12 Sept →
inferno4–130.0137%12 Sept →
ancient13–50.1121%11 Sept →
anubis13–80.0726%11 Sept →
boulder5–130.0235%11 Sept →
dust29–13-0.0518%11 Sept →
mirage13–110.0320%10 Sept →
ancient13–90.0124%10 Sept →
inferno9–13-0.0219%10 Sept →
anubis7–13-0.0321%10 Sept →
anubis16–14-0.0724%7 Sept →
inferno16–130.0629%7 Sept →
ancient7–130.0622%7 Sept →
inferno13–11-0.0022%7 Sept →
anubis8–13-0.0312%7 Sept →
inferno16–140.0632%6 Sept →
nuke16–140.0325%6 Sept →
cache6–130.0228%6 Sept →
inferno8–13-0.0523%6 Sept →
cache13–100.0223%6 Sept →
inferno13–80.0618%6 Sept →
nuke13–100.1427%5 Sept →
ancient13–50.0525%5 Sept →
inferno13–70.1233%5 Sept →
ancient3–13-0.0325%5 Sept →
nuke7–13-0.0226%5 Sept →
mirage9–13-0.0535%2 Sept →
mirage6–13-0.0524%2 Sept →
ancient20–220.0427%2 Sept →
debris7–9-0.0730%2 Sept →
inferno13–50.0233%2 Sept →
cache8–130.0122%2 Sept →
vertigo10–13-0.0427%31 Aug →
dust211–130.0121%31 Aug →
mirage19–170.0229%31 Aug →
anubis13–80.0526%5 Aug →
ancient13–11-0.0018%5 Aug →
anubis13–110.0518%3 Aug →
mirage13–40.0617%3 Aug →
nuke11–130.0126%30 Jul →
mirage13–30.0431%30 Jul →
cache13–70.0522%30 Jul →
ancient13–40.0624%30 Jul →
vertigo9–50.0726%30 Jul →
debris7–90.0729%30 Jul →

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 →

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