FRALSARNN

FRALSARNN — CS2 Stats

SE76561199499928188[U:1:1539662460]Steam profile ↗✓ No bans

393Tracked matches57%Win rate2023Tracked since
1,663Hours in CS153Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

+55Tracked matches · now 393
−6.7ppWin rate · 63.3% → 56.7%
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. 48 days played since 21 Jun 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

48Days played since 2026-06-21

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=12,082), 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 6 medianLevel 7 medianvs Level 7
Headshot rate42.7%44.8%45.7%3.1% short
Shot accuracy0.3%12.5%12.7%12.4% short
Kill/death ratio0.881.041.050.18 short
Match win rate50.6%45.2%45.7%above

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFRALSARNNFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.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

Aim68
Positioning52
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY5545Last 10055%Win rateWLLWWWLLLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −3.7pp headshot accuracy · −6ms 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

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 533ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 500ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 503ms

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).

Aim6.8
Utility5.9
Positioning5.2
Opening Duels1.0
Clutch4.8

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

Twistzz

Plays most like Twistzz 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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 62% 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

Aim6.8
Positioning5.2
Utility5.9
Mechanics2.7
Opening Duels2.1
Win Impact7.2

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time500ms−171ms
first ⅓ avg 671ms → last ⅓ avg 500ms
Headshot accuracy15.3%+1.2%
first ⅓ avg 14.1% → last ⅓ avg 15.3%

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

0.15Best match rating · 13–7 · vertigo, 24 Jul
44%Best headshot accuracy · 6–13 · inferno, 27 Aug
406msFastest reaction time · 4–13 · anubis, 21 Sept
13–2Biggest win · inferno, 15 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
76In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 74% over 19nukeWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
anubisS2114767%-0.02
ancientS1914574%-0.01
mirageD1651131%-0.04
infernoA149564%-0.03
vertigoA127558%-0.03
cacheC73443%-0.01
nukeD71614%-0.03
dust221150%-0.01
overpass110100%0.09
train1010%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,974Lifetime kills
0.88K/D
799Matches
50.6%Match win rate · Top 25% of Level 6 players
42.7%Headshot %
0.3%Shot accuracy
2,902MVPs
402Hours (in match)
944Bombs planted
653Bombs defused

Most-used weapons

Lifetime map wins

1,005inferno
931dust2
896nuke
839vertigo
323train
6aztec
4office
1ar_baggage

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

Faceit stats

Combat

111Matches
58%Win rate
0.88Avg K/D
68.3ADR
36%Headshot %

Clutches & streaks

44%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient3168%1.0013.6
Anubis2268%1.0114.5
Mirage1759%0.8110.2
Nuke922%0.6713.1
Dust2944%0.7310.2
Inferno450%0.9116.8
Train475%1.2917.8
Cache20%0.4810.5

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.

14.3%Headshot accuracy
37.6%Accuracy (enemy spotted)
42.0%Spray accuracy
62.3%Counter-strafing
9.7°Preaim
499msReaction time
44.0%T opening success
32.5%CT opening success
0.51Enemies flashed / flash
7.0%Flash assists
5.66HE damage / grenade
19.83Flashes / 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 14.3114% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.5037% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno25–22-0.069%22 Sept
anubis8–130.0121%22 Sept
mirage20–22-0.049%21 Sept
inferno13–7-0.0713%21 Sept
inferno13–100.048%21 Sept
inferno16–120.0220%21 Sept
anubis4–13-0.084%21 Sept
ancient9–13-0.076%20 Sept
inferno9–13-0.0820%18 Sept
cache0–13-0.0811%18 Sept
inferno13–10-0.0118%17 Sept
inferno10–13-0.1212%16 Sept
cache13–7-0.0313%16 Sept
anubis13–9-0.0321%15 Sept
ancient13–7-0.0227%15 Sept
inferno13–20.0115%15 Sept
ancient4–13-0.0520%14 Sept
anubis9–13-0.043%13 Sept
mirage1–13-0.0416%12 Sept
ancient13–8-0.0212%12 Sept
ancient13–90.009%12 Sept
inferno2–130.0417%11 Sept
anubis13–11-0.0610%7 Sept
ancient13–70.0428%4 Sept
mirage9–13-0.0322%2 Sept
ancient13–80.0420%31 Aug
vertigo9–60.0215%31 Aug
ancient13–9-0.039%30 Aug
mirage13–7-0.0414%28 Aug
ancient13–8-0.0016%28 Aug
mirage14–16-0.0613%28 Aug
inferno6–13-0.0544%27 Aug
mirage7–13-0.0910%27 Aug
mirage13–8-0.0714%27 Aug
anubis13–2-0.086%27 Aug
mirage8–13-0.0312%27 Aug
cache13–10-0.0219%26 Aug
mirage13–10-0.0323%23 Aug
ancient13–7-0.0214%22 Aug
anubis13–100.0425%22 Aug
mirage2–13-0.0910%22 Aug
inferno13–7-0.0720%22 Aug
ancient13–7-0.0715%22 Aug
mirage11–13-0.0415%22 Aug
mirage9–13-0.0527%21 Aug
cache13–16-0.0127%21 Aug
vertigo3–13-0.0726%21 Aug
anubis13–50.0223%15 Aug
anubis13–6-0.046%15 Aug
ancient13–60.0525%15 Aug
vertigo13–10-0.0515%11 Aug
anubis13–8-0.0215%11 Aug
ancient8–13-0.0316%9 Aug
ancient13–9-0.0323%9 Aug
ancient13–110.0210%8 Aug
anubis13–8-0.0521%8 Aug
anubis13–70.0329%7 Aug
inferno13–16-0.0125%6 Aug
vertigo13–10-0.0314%6 Aug
anubis7–13-0.0313%6 Aug
vertigo13–50.0118%4 Aug
anubis8–13-0.0517%4 Aug
nuke7–13-0.0911%30 Jul
overpass13–50.0922%29 Jul
anubis4–13-0.0424%24 Jul
vertigo13–70.1519%24 Jul
nuke7–13-0.0116%20 Jul
ancient3–70.0238%19 Jul
ancient11–130.0220%17 Jul
vertigo9–4-0.0219%15 Jul
mirage11–130.0315%14 Jul
cache9–120.0310%13 Jul
anubis13–100.0116%13 Jul
anubis13–110.058%4 Jul
vertigo1–9-0.090%4 Jul
nuke5–13-0.077%2 Jul
vertigo6–13-0.076%2 Jul
anubis13–100.0014%2 Jul
vertigo7–13-0.0316%2 Jul
cache13–9-0.0318%29 Jun
nuke2–13-0.056%29 Jun
vertigo13–11-0.087%29 Jun
anubis9–13-0.057%28 Jun
ancient13–7-0.0112%28 Jun
inferno13–10-0.0125%28 Jun
mirage11–2-0.0711%27 Jun
nuke14–16-0.0419%27 Jun
anubis16–140.0229%25 Jun
nuke12–16-0.0423%25 Jun
mirage9–13-0.0013%25 Jun
mirage13–7-0.0512%25 Jun
dust219–17-0.0225%24 Jun
cache1–100.0516%24 Jun
nuke13–70.0612%24 Jun
inferno13–11-0.0218%23 Jun
dust27–130.0119%23 Jun
train10–13-0.0614%22 Jun
anubis13–8-0.019%22 Jun
vertigo4–13-0.100%22 Jun
ancient13–7-0.043%21 Jun

Match data via Leetify.

Recent teammates

Milestones

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