firren

firren — CS2 Stats

SE76561199184967359[U:1:1224701631]Steam profile ↗✓ No bans

3,734Tracked matches53%Win rate2021Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating23,858Top 25% of 194,975 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#31615 of 241360 tracked
FaceitLevel 10 · 2,447 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 10 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 23,858 +389 14 Sept22 Sept · 3 days played
23,28023,858peak 23,85814 Sept22 Sept
Faceit ELO: 2,447 +0 28 Aug6 Sept · 5 observations
2,4472,447peak 2,44728 Aug6 Sept
24,051Peak Premier in tracked matches
2,447Highest Faceit ELO seen on CSDB
32Days played since 2026-07-10

Faceit ELO

  • At peak — 2,447
  • Next: 2,500 ELO at 2,500 53 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-28
  • Level 9 first seen 2026-08-28

Premier CS Rating

  • At peak — 23,858
  • Next: Red band at 25,000 1,142 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGfirrenFACEITLevel 10 · 2,447 ELOSTANDINGTop 12.4% of rankedPREMIER23,858 · Pink bandPEAK ELO2,447csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim72
Positioning65
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY48511Last 10048%Win rateWWLLWWLLWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −4.7pp headshot accuracy · +30ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 530ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 516ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 500ms

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: SupportUtility contribution stands above the rest of this profile (+1.7 against its own average).

Aim7.2
Utility7.1
Positioning6.5
Opening Duels4.3
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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: utility contribution, 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

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.2
Positioning6.5
Utility7.1
Mechanics4.0
Opening Duels5.6
Win Impact6.1

Composite 6.4/10 (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 rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time507ms−38ms
first ⅓ avg 544ms → last ⅓ avg 507ms
Headshot accuracy21.2%+2.4%
first ⅓ avg 18.8% → last ⅓ avg 21.2%

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

0.19Best match rating · 13–3 · inferno, 14 Sept
40%Best headshot accuracy · 13–10 · ancient, 19 Sept
359msFastest reaction time · 2–13 · inferno, 15 Sept
13–2Biggest win · inferno, 15 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
1113In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 65% over 17nukeWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
infernoC23101343%0.00
nukeD1961332%0.01
cacheB179853%0.01
anubisS1711665%0.02
ancientA1610663%0.03
dust2C52340%0.06
mirage2020%0.02
vertigo1010%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,186Matches
52%Win rate
1.11Avg K/D
77.1ADR
50%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient32953%1.0716.3
Inferno25053%1.0615.5
Anubis24151%1.1016.2
Mirage23245%1.0515.8
Nuke22356%1.1716.5
Overpass10552%1.0915.6
Dust29646%1.0115.0
Train4340%1.0115.9

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.

20.2%Headshot accuracy
37.8%Accuracy (enemy spotted)
43.0%Spray accuracy
68.1%Counter-strafing
12.6°Preaim
509msReaction time
53.9%T opening success
51.1%CT opening success
0.56Enemies flashed / flash
12.4%Flash assists
9.26HE damage / grenade
17.13Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5958° — above the 12° mark we flag

    Aim Training
Spend your practice time on Nuke

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

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0117%23 Sept
ancient13–11-0.0022%23 Sept
vertigo4–13-0.0219%23 Sept
nuke11–130.0128%23 Sept
ancient13–100.1219%22 Sept
nuke13–80.0725%22 Sept
nuke8–13-0.039%22 Sept
ancient9–13-0.0616%22 Sept
cache13–50.0418%22 Sept
inferno13–8-0.036%21 Sept
anubis8–130.0224%21 Sept
inferno3–13-0.0326%21 Sept
cache13–90.0016%21 Sept
ancient14–160.0115%19 Sept
anubis13–90.0425%19 Sept
ancient13–100.0740%19 Sept
nuke5–130.0521%19 Sept
anubis13–60.0926%19 Sept
inferno9–130.0014%19 Sept
ancient20–22-0.0219%18 Sept
anubis13–60.0838%18 Sept
nuke11–13-0.0118%18 Sept
inferno13–11-0.0017%17 Sept
nuke13–160.0813%17 Sept
anubis13–110.0317%17 Sept
cache13–8-0.0216%17 Sept
anubis16–130.0217%16 Sept
inferno7–13-0.0432%16 Sept
ancient13–80.0928%16 Sept
inferno10–13-0.0119%15 Sept
nuke10–13-0.0625%15 Sept
ancient6–13-0.0122%15 Sept
inferno13–20.0635%15 Sept
nuke13–9-0.057%15 Sept
inferno2–13-0.0814%15 Sept
dust21–60.1423%15 Sept
nuke13–60.0223%14 Sept
inferno13–30.1925%14 Sept
ancient13–30.0633%14 Sept
ancient13–70.1022%13 Sept
cache13–30.1123%13 Sept
anubis4–13-0.0619%10 Sept
inferno13–30.0618%10 Sept
cache13–16-0.0223%10 Sept
cache9–13-0.0414%9 Sept
nuke5–130.0130%9 Sept
cache9–130.0020%5 Sept
ancient13–6-0.0116%5 Sept
inferno13–11-0.0315%5 Sept
nuke6–130.0433%3 Sept
anubis13–4-0.0716%3 Sept
ancient16–130.0720%3 Sept
cache17–19-0.0029%3 Sept
ancient9–13-0.0617%1 Sept
inferno11–13-0.0215%1 Sept
cache13–110.0119%1 Sept
nuke10–130.0420%24 Aug
cache13–10-0.0018%24 Aug
cache13–40.0028%23 Aug
mirage9–130.0517%20 Aug
anubis9–130.0229%20 Aug
ancient9–130.0317%20 Aug
nuke6–13-0.0429%19 Aug
anubis13–9-0.0118%19 Aug
ancient13–40.0222%19 Aug
anubis11–130.0315%19 Aug
dust213–90.0014%19 Aug
dust213–50.1421%16 Aug
anubis13–8-0.0217%8 Aug
nuke13–11-0.0328%8 Aug
cache11–13-0.0811%8 Aug
nuke16–190.0219%8 Aug
anubis9–13-0.0411%7 Aug
anubis8–13-0.0412%4 Aug
cache9–130.0116%4 Aug
inferno11–13-0.0319%3 Aug
nuke14–16-0.0117%3 Aug
inferno9–130.0419%3 Aug
inferno9–130.0019%30 Jul
nuke11–13-0.0230%30 Jul
inferno13–90.0627%28 Jul
dust26–13-0.0623%28 Jul
inferno10–13-0.0317%27 Jul
mirage11–13-0.0012%25 Jul
cache15–150.0619%25 Jul
nuke13–90.0820%25 Jul
dust211–130.0517%24 Jul
nuke13–110.0122%24 Jul
cache8–130.0125%24 Jul
anubis13–100.1420%24 Jul
inferno13–90.0229%24 Jul
inferno7–13-0.0326%13 Jul
inferno8–13-0.0717%13 Jul
cache13–10-0.0512%13 Jul
cache13–70.0713%13 Jul
anubis13–11-0.0216%11 Jul
inferno13–10-0.0018%11 Jul
ancient13–110.0420%11 Jul
inferno5–130.0016%10 Jul
anubis13–110.0918%10 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →