PasseFrasse

PasseFrasse — CS2 Stats

76561198034300641[U:1:74034913]Steam profile ↗✓ No bans

1,088Tracked matches62%Win rate2023Tracked since
CSDB Rating5.3 DevelopingAll-Rounder
Premier CS Rating17,710Purple band · top ~17.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 1,088 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,710 +1,404 20 Jul – 1 Oct · 20 days played
16,17718,064peak 18,06420 Jul1 Oct
Faceit ELO: 966 +0 30 Aug – 2 Sept · 2 observations
966966peak 96630 Aug2 Sept
18,064Peak Premier in tracked matches
966Highest Faceit ELO seen on CSDB
29Days played since 2026-07-15

Premier CS Rating

  • 354 below peak (18,064)
  • 0 over 30 days · steady
  • Next: Pink band at 20,000 — 2,290 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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.GGPasseFrasseFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,710 · Purple bandPEAK ELO966csdb.gg/stats

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Performance scores

Aim63
Positioning52
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLWWTLLWWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.7pp headshot accuracy · +67ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 637ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 556ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 522ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.3
Utility4.8
Positioning5.2
Opening Duels2.6
Clutch5.0

Limited utility dependence

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 89% 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

Reaction time. 555ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim6.3
Positioning5.2
Utility4.8
Mechanics3.4
Opening Duels2.2
Win Impact9.0

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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time560ms+46ms
first ⅓ avg 514ms → last ⅓ avg 560ms
Headshot accuracy19.9%+7.8%
first ⅓ avg 12.1% → last ⅓ avg 19.9%

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

0.12Best match rating · 6–0 · overpass, 16 Jul →
60%Best headshot accuracy · 1–13 · cache, 9 Aug →
336msFastest reaction time · 7–13 · inferno, 16 Jul →
13–0Biggest win · nuke, 1 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 85% over 13italyWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
anubisA159–660%-0.00
cacheD134–931%-0.03
ancientS1311–285%-0.00
nukeA106–460%0.01
infernoD93–633%-0.03
mirageA85–363%-0.04
vertigoC83–538%-0.01
italyD72–529%-0.02
dust2C52–340%-0.01
overpass—41–325%-0.01
train—42–250%0.02
boulder—20–20%-0.02
office—20–20%-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

307Matches
48%Win rate
1.16Avg K/D
66.2ADR
38%Headshot %

Clutches & streaks

45%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo5252%1.4116.1
Ancient3850%1.2314.8
Nuke3471%1.1815.8
Overpass2752%1.0714.6
Anubis2646%0.9314.4
Inferno2544%1.0314.4
Mirage1724%0.8413.3
Dust21118%0.9013.2

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.

19.3%Headshot accuracy
34.4%Accuracy (enemy spotted)
39.0%Spray accuracy
65.2%Counter-strafing
10.4°Preaim
555msReaction time
32.6%T opening success
45.3%CT opening success
0.70Enemies flashed / flash
15.3%Flash assists
7.28HE damage / grenade
4.58Flashes / 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 32.6434% — below the 40% mark we flag

Spend your practice time on Cache

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0233%29 Aug →
nuke13–7-0.0213%28 Aug →
cache13–11-0.0711%28 Aug →
overpass12–12-0.0531%28 Aug →
inferno5–13-0.0618%26 Aug →
anubis11–130.0714%26 Aug →
ancient16–14-0.009%22 Aug →
anubis13–30.0319%22 Aug →
inferno13–9-0.0113%22 Aug →
dust213–110.0028%22 Aug →
ancient9–13-0.039%19 Aug →
vertigo13–3-0.0123%19 Aug →
cache5–13-0.0215%18 Aug →
nuke4–130.0524%17 Aug →
vertigo1–40.0029%17 Aug →
anubis16–140.0420%16 Aug →
anubis8–13-0.0418%16 Aug →
cache13–10-0.0520%13 Aug →
mirage13–8-0.0616%13 Aug →
ancient13–10.0933%13 Aug →
anubis13–100.0619%9 Aug →
vertigo13–10-0.0411%9 Aug →
ancient13–60.0518%9 Aug →
cache1–13-0.1060%9 Aug →
ancient13–11-0.0413%8 Aug →
overpass8–130.0010%8 Aug →
inferno16–140.0215%7 Aug →
dust20–13-0.0544%6 Aug →
mirage13–7-0.0219%5 Aug →
anubis13–8-0.0116%5 Aug →
nuke5–13-0.013%5 Aug →
vertigo13–70.0516%5 Aug →
anubis4–130.0118%4 Aug →
ancient13–110.0429%4 Aug →
cache4–130.0216%3 Aug →
ancient13–110.0113%3 Aug →
nuke13–00.0613%1 Aug →
dust213–40.0731%31 Jul →
dust28–13-0.0636%31 Jul →
nuke10–130.0023%31 Jul →
italy10–13-0.0525%31 Jul →
italy13–9-0.0513%30 Jul →
boulder4–13-0.1018%30 Jul →
office2–130.0256%30 Jul →
vertigo5–13-0.0822%30 Jul →
cache1–13-0.0724%26 Jul →
inferno14–16-0.0327%26 Jul →
anubis10–13-0.0021%26 Jul →
mirage6–13-0.0736%26 Jul →
nuke13–8-0.0239%26 Jul →
train10–13-0.0119%26 Jul →
inferno6–13-0.0230%26 Jul →
anubis13–6-0.0610%26 Jul →
train4–130.0533%26 Jul →
inferno8–13-0.0317%25 Jul →
dust27–13-0.0213%25 Jul →
overpass6–13-0.1114%24 Jul →
anubis13–60.0828%24 Jul →
cache12–120.0123%24 Jul →
vertigo12–120.0319%24 Jul →
mirage13–8-0.0221%24 Jul →
nuke16–14-0.0314%24 Jul →
ancient13–11-0.077%24 Jul →
vertigo4–13-0.0130%22 Jul →
italy13–90.0411%22 Jul →
cache3–130.0125%22 Jul →
nuke1–13-0.0142%22 Jul →
cache13–30.0412%21 Jul →
anubis13–7-0.0210%21 Jul →
italy5–13-0.095%21 Jul →
train13–90.018%21 Jul →
italy5–13-0.048%21 Jul →
italy10–130.0029%20 Jul →
nuke13–60.106%20 Jul →
cache5–13-0.0717%20 Jul →
ancient13–8-0.0311%20 Jul →
cache13–6-0.0414%20 Jul →
inferno11–13-0.138%20 Jul →
cache7–130.0113%20 Jul →
anubis8–13-0.0817%20 Jul →
ancient16–140.0213%20 Jul →
mirage13–8-0.0412%19 Jul →
inferno13–60.0410%19 Jul →
train13–80.0511%18 Jul →
boulder11–130.0514%18 Jul →
italy3–130.0112%18 Jul →
nuke13–4-0.039%18 Jul →
office7–13-0.0714%18 Jul →
anubis13–5-0.0112%18 Jul →
ancient13–9-0.0111%18 Jul →
anubis13–4-0.0318%16 Jul →
mirage13–11-0.0514%16 Jul →
ancient16–13-0.010%16 Jul →
cache8–13-0.027%16 Jul →
inferno7–13-0.0515%16 Jul →
vertigo12–12-0.0230%16 Jul →
overpass6–00.120%16 Jul →
ancient11–13-0.079%15 Jul →
mirage10–13-0.0718%15 Jul →
anubis13–16-0.0610%15 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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