GAFFFFS

GAFFFFS — CS2 Stats

76561198996056576[U:1:1035790848]Steam profile ↗✓ No bans

501Tracked matches60%Win rate2021Tracked since
614Hours in CS
CSDB Rating4.8 DevelopingPositional Player
FaceitLevel 5 · 1,106 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,556 +1,011 27 Apr – 4 May · 5 days played
12,54513,556peak 13,55627 Apr4 May
13,556Peak Premier in tracked matches
1,106Highest Faceit ELO seen on CSDB
41Days played since 2025-04-18

Faceit ELO

  • At peak — 1,106
  • Next: Level 6 at 1,201 — 95 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate40.8%43.8%44.8%4.0% short
Shot accuracy12.2%12.0%12.4%0.3% short
Kill/death ratio0.981.021.030.05 short
Match win rate28.8%44.7%45.2%16.4% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGAFFFFSFACEITLevel 5 · 1,106 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,106csdb.gg/stats

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Performance scores

Aim58
Positioning53
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateLWLWWLWWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −3.8pp headshot accuracy · +75ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 624ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 671ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 634ms

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: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim5.8
Utility1.9
Positioning5.3
Opening Duels3.1
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.

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

donk

Plays most like donk 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 624ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.8
Positioning5.3
Utility1.9
Mechanics7.9
Opening Duels2.4
Win Impact8.3

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time624ms+39ms
first ⅓ avg 585ms → last ⅓ avg 624ms
Headshot accuracy12.9%+1.1%
first ⅓ avg 11.8% → last ⅓ avg 12.9%

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 · 13–3 · inferno, 30 Jun →
27%Best headshot accuracy · 13–4 · dust2, 9 Jul →
453msFastest reaction time · 13–11 · anubis, 27 Apr →
13–1Biggest win · ancient, 22 May →

Across the last 100 tracked matches.

Highlights

10Longest win streak
10–15In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 70% over 20dust2Weakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
anubisA2214–864%-0.00
ancientS2014–670%0.00
infernoA1912–763%0.00
dust2C166–1038%-0.01
mirageC167–944%0.01
nukeA74–357%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,261Lifetime kills
0.98K/D
1,871Matches
28.8%Match win rate
40.8%Headshot %
12.2%Shot accuracy · Top 50% of Level 5 players
2,601MVPs
614Hours (in match)
1,524Bombs planted
285Bombs defused

Most-used weapons

AK-4716,866
AWP3,662
AUG2,138
MP91,118

Lifetime map wins

3,669dust2
2,479inferno
335nuke
231lake
97italy
74office
68train
26vertigo

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

Faceit stats

Combat

225Matches
49%Win rate
1.01Avg K/D
69.0ADR
37%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5036%0.9614.3
Dust24943%0.9913.4
Inferno4461%1.0013.8
Anubis3364%1.1914.3
Ancient3256%1.0013.8
Nuke1338%0.8313.1
Overpass333%1.0516.3

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.

12.7%Headshot accuracy
32.5%Accuracy (enemy spotted)
35.4%Spray accuracy
85.4%Counter-strafing
10.0°Preaim
624msReaction time
37.8%T opening success
41.1%CT opening success
0.51Enemies flashed / flash
6.4%Flash assists
10.86HE damage / grenade
12.69Flashes / 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 12.7406% — below the 15% mark we flag

    Aim Training →
  2. 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 37.7964% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke14–16-0.0015%21 Dec →
inferno13–40.0413%2 Nov →
dust26–13-0.069%22 Sept →
ancient13–110.0514%16 Sept →
ancient13–90.018%11 Sept →
dust210–13-0.0414%11 Sept →
mirage13–100.077%2 Sept →
mirage16–14-0.018%15 Aug →
dust214–16-0.038%6 Aug →
inferno13–70.0312%6 Aug →
nuke16–13-0.0112%27 Jul →
inferno13–4-0.039%27 Jul →
ancient10–13-0.0320%10 Jul →
mirage13–90.068%9 Jul →
anubis11–13-0.0312%9 Jul →
dust213–40.1227%9 Jul →
mirage9–130.079%7 Jul →
anubis13–10-0.0318%7 Jul →
ancient8–13-0.0019%7 Jul →
anubis13–40.0712%3 Jul →
inferno13–30.128%30 Jun →
anubis13–8-0.0513%30 Jun →
nuke13–80.0324%30 Jun →
dust214–16-0.0816%23 Jun →
inferno13–5-0.017%16 Jun →
anubis11–13-0.057%16 Jun →
dust25–13-0.0119%11 Jun →
mirage9–13-0.0318%11 Jun →
anubis13–60.0811%11 Jun →
ancient13–7-0.008%11 Jun →
dust213–16-0.039%9 Jun →
inferno11–13-0.0620%9 Jun →
anubis13–100.0913%9 Jun →
inferno13–16-0.019%3 Jun →
ancient13–100.0320%3 Jun →
anubis13–11-0.0018%3 Jun →
nuke11–13-0.0515%28 May →
mirage9–13-0.0210%28 May →
inferno13–90.016%28 May →
ancient7–13-0.0319%28 May →
nuke9–13-0.0611%26 May →
inferno11–130.0215%26 May →
dust29–13-0.0510%26 May →
nuke13–11-0.0413%24 May →
mirage13–110.0113%23 May →
anubis13–100.0014%22 May →
ancient13–10.0322%22 May →
inferno13–10-0.0120%21 May →
mirage11–130.0114%21 May →
ancient13–90.0413%21 May →
dust213–4-0.0121%21 May →
anubis8–13-0.046%19 May →
nuke13–80.0015%19 May →
ancient13–9-0.045%19 May →
dust27–13-0.0314%17 May →
anubis13–8-0.068%16 May →
dust213–8-0.0312%16 May →
mirage9–130.0320%16 May →
dust211–130.0321%15 May →
anubis13–16-0.027%15 May →
mirage9–13-0.0013%15 May →
mirage13–9-0.0420%12 May →
anubis13–70.019%12 May →
ancient11–130.029%12 May →
ancient12–16-0.0110%9 May →
inferno13–110.0111%7 May →
anubis6–130.0514%7 May →
dust213–80.0213%7 May →
anubis13–20.0523%7 May →
inferno11–13-0.059%7 May →
mirage13–7-0.0324%4 May →
anubis14–16-0.067%4 May →
ancient16–130.0113%1 May →
inferno10–13-0.0115%1 May →
anubis9–13-0.0121%1 May →
dust213–4-0.022%1 May →
inferno9–13-0.069%1 May →
ancient16–19-0.0311%29 Apr →
mirage8–130.0010%29 Apr →
ancient13–11-0.008%29 Apr →
dust28–13-0.0219%29 Apr →
dust213–90.0311%28 Apr →
anubis13–60.038%28 Apr →
ancient13–11-0.002%28 Apr →
anubis13–8-0.0112%28 Apr →
ancient13–8-0.017%28 Apr →
anubis13–11-0.029%27 Apr →
ancient13–4-0.038%27 Apr →
mirage13–90.0311%27 Apr →
inferno13–90.0415%27 Apr →
inferno13–11-0.047%26 Apr →
mirage11–13-0.0616%26 Apr →
ancient13–9-0.0111%25 Apr →
inferno11–13-0.0219%24 Apr →
inferno13–30.0817%24 Apr →
anubis13–7-0.026%24 Apr →
mirage10–130.0015%24 Apr →
anubis7–13-0.018%18 Apr →
ancient13–100.0016%18 Apr →
inferno13–6-0.0210%18 Apr →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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