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Faffy

Faffy — CS2 Stats

76561198359808036[U:1:399542308]Steam profile ↗✓ No bans

511Tracked matches46%Win rate2022Tracked since
CSDB Rating4.0 Developing
Ladder ranks via Leetify

Performance scores

Aim34
Positioning54
Utility57

0–100 skill scores via Leetify.

Recent form

HOT47–47–6Last 10047%Win rateWWWWWWLTWL

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating

Player DNA

Aim3.4
Aggression9.6
Utility5.7
Positioning5.4
Opening Duels4.6
Clutch4.0

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

device

Plays most like device 83% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Reaction time. 664ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim3.4
Positioning5.4
Utility5.7
Mechanics1.5
Opening Duels4.6
Win Impact3.8

Composite 4.0/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time649ms−24ms
first ⅓ avg 673ms → last ⅓ avg 649ms
Headshot accuracy13.5%+0.6%
first ⅓ avg 12.9% → last ⅓ avg 13.5%

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

0.15Best rating — mirage 13–2
13–1Biggest win — ancient
6Longest win streak
W6Current streak
4–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 71% over 14mirageWeakest map · 39% over 36
MapGradePlayedRecordWin rateAvg rating
mirageC3614–2239%0.01
dust2C239–1439%0.01
infernoS1410–471%0.02
nukeA95–456%0.04
ancientC73–443%-0.01
anubisA53–260%-0.02
train—42–250%0.02
overpass—21–150%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 36). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
55%Win rate
0.90Avg K/D
71.2ADR
34%Headshot %

Clutches & streaks

40%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage450%1.0415.5
Inferno450%0.8014.3
Ancient2100%0.8211.5
Dust210%0.9415.0

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.

13.6%Headshot accuracy
36.0%Accuracy (enemy spotted)
42.9%Spray accuracy
56.7%Counter-strafing
13.5°Preaim
664msReaction time
41.3%T opening success
55.2%CT opening success
0.67Enemies flashed / flash
5.6%Flash assists
10.11HE damage / grenade
12.15Flashes / 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 13.4691° — above the 12° mark we flag

    Aim Training →
  2. 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 13.6013% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

39% win rate across 36 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–13-0.0620%4 Aug →
nuke13–8-0.028%31 Jul →
anubis16–130.037%14 Apr →
inferno13–110.0228%13 Apr →
mirage13–6-0.077%11 Apr →
inferno13–110.087%2 Apr →
dust211–130.0312%26 Mar →
dust215–15-0.039%26 Mar →
mirage13–60.1314%25 Mar →
inferno12–16-0.008%12 Mar →
ancient4–130.0214%12 Mar →
nuke8–13-0.0311%12 Mar →
dust215–150.0120%12 Mar →
mirage13–40.009%12 Mar →
dust213–4-0.0413%9 Mar →
mirage5–13-0.0513%8 Mar →
inferno6–130.0123%8 Mar →
mirage7–13-0.0310%7 Mar →
dust213–16-0.0220%7 Mar →
nuke4–130.0815%1 Mar →
inferno1–13-0.080%1 Mar →
overpass4–13-0.0218%1 Mar →
dust213–80.0510%13 Jan →
mirage13–90.006%29 Oct →
inferno13–40.0318%22 Oct →
mirage11–130.1411%4 Oct →
inferno6–130.0317%18 Sept →
dust26–130.1121%17 Sept →
mirage9–130.0914%20 Aug →
inferno13–40.0418%19 Aug →
inferno13–40.0618%17 Aug →
dust212–120.0714%17 Aug →
nuke13–90.0812%16 Aug →
nuke4–130.0311%16 Aug →
mirage15–150.0313%16 Aug →
mirage15–15-0.0216%15 Aug →
mirage13–90.0626%15 Aug →
inferno13–20.0720%14 Aug →
dust24–13-0.0121%13 Aug →
nuke13–40.029%11 Aug →
mirage13–16-0.0219%11 Aug →
ancient13–1-0.038%11 Aug →
overpass13–10-0.0210%11 Aug →
mirage1–13-0.048%11 Aug →
dust213–70.0213%11 Aug →
ancient13–8-0.059%11 Aug →
mirage9–13-0.0411%24 Jul →
dust28–13-0.0511%18 Jul →
mirage8–130.0116%17 May →
train6–130.1310%17 May →
dust210–13-0.040%10 May →
dust20–1-0.120%9 May →
anubis6–13-0.0613%4 May →
mirage13–3-0.0211%3 May →
mirage1–13-0.036%3 May →
anubis9–13-0.095%16 Apr →
mirage14–16-0.075%9 Apr →
train13–8-0.024%5 Apr →
dust213–60.0129%5 Apr →
inferno13–9-0.028%30 Mar →
dust213–70.129%29 Mar →
nuke13–100.0117%22 Mar →
mirage13–80.078%22 Mar →
mirage15–150.0018%20 Mar →
mirage14–160.0615%19 Mar →
anubis13–100.0414%17 Mar →
ancient2–13-0.0615%17 Mar →
ancient12–00.078%13 Mar →
dust213–6-0.027%11 Mar →
train6–13-0.1213%11 Mar →
mirage5–13-0.0116%10 Mar →
mirage9–13-0.0110%5 Mar →
ancient11–130.0512%3 Mar →
anubis13–90.018%3 Mar →
mirage11–13-0.0412%2 Mar →
dust24–13-0.0315%2 Mar →
mirage13–60.0419%2 Mar →
dust25–13-0.0023%2 Mar →
dust28–130.0912%27 Feb →
mirage5–13-0.0511%26 Feb →
mirage3–13-0.036%23 Feb →
ancient3–13-0.0517%23 Feb →
mirage13–11-0.009%22 Feb →
mirage13–30.0013%22 Feb →
inferno13–100.0329%21 Feb →
mirage16–120.0113%20 Feb →
mirage5–13-0.0614%20 Feb →
dust216–13-0.0413%19 Feb →
mirage13–90.0620%19 Feb →
mirage6–100.0615%19 Feb →
train10–50.0714%19 Feb →
nuke13–100.0419%16 Feb →
dust213–2-0.0212%16 Feb →
mirage13–110.019%15 Feb →
dust210–00.0710%14 Feb →
nuke10–130.119%12 Feb →
inferno13–80.045%12 Feb →
mirage8–13-0.0111%11 Feb →
mirage13–20.158%11 Feb →
dust210–13-0.0215%11 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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