Slamming Avant-Cyber Shitgrind

Slamming Avant-Cyber Shitgrind — CS2 Stats

US76561198011121967[U:1:50856239]Steam profile ↗✓ No bans

1,072Tracked matches27%Win rate2024Tracked since
1,104Hours in CS13Hrs last 2 wks
CSDB Rating4.1 DevelopingSupport
FaceitLevel 2 · 646 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 646 → 646
+33Tracked matches · now 1,072
−20.0ppWin rate · 46.7% → 26.7%

Rating over time

646Highest Faceit ELO seen on CSDB
42Days played since 2026-05-19

Faceit ELO

  • At peak — 646
  • Next: Level 3 at 751 — 105 to go
  • Reached: Level 2
  • Level 2 first seen 2026-08-30

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches80——
Win rate30%——
K/D0.82——
Headshot %53%——

Measured 16 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,991), 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 2 medianLevel 3 medianvs Level 3
Headshot rate52.9%41.3%41.8%above
Shot accuracy3.0%12.7%12.2%9.2% short
Kill/death ratio1.160.950.98above
Match win rate39.4%42.6%43.3%3.9% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSlamming Avant-Cyber Shit…FACEITLevel 2 · 646 ELOSTANDINGTop 97.9% of rankedPEAK ELO646csdb.gg/stats

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Performance scores

Aim66
Positioning35
Utility42

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateWLLLLLWLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −4.3pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 637ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 630ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 663ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim6.6
Utility4.2
Positioning3.5
Opening Duels0.0
Clutch2.0

Excellent counter-strafing

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 92% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 664ms 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

Aim6.6
Positioning3.5
Utility4.2
Mechanics8.6
Opening Duels0.1
Win Impact0.0

Composite 4.1/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time672ms−24ms
first ⅓ avg 696ms → last ⅓ avg 672ms
Headshot accuracy19.5%+0.8%
first ⅓ avg 18.7% → last ⅓ avg 19.5%

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.

Personal bests

0.13Best match rating · 9–13 · dust2, 14 Jul →
43%Best headshot accuracy · 8–13 · dust2, 29 Jul →
500msFastest reaction time · 7–13 · ancient, 4 Aug →
13–0Biggest win · overpass, 2 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 83% over 6ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
cacheC249–1538%-0.01
dust2C177–1041%-0.00
mirageD154–1127%-0.02
nukeB115–645%-0.01
ancientD92–722%-0.02
infernoA85–363%-0.00
overpassS65–183%0.01
anubis—42–250%-0.04
vertigo—32–167%0.01
train—10–10%-0.06
shelter—10–10%-0.01
boulder—10–10%0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,639Lifetime kills
1.16K/D · Top 25% of Level 2 players
1,789Matches
39.4%Match win rate
52.9%Headshot % · Top 10% of Level 2 players
3.0%Shot accuracy
3,183MVPs
608Hours (in match)
1,701Bombs planted
478Bombs defused

Most-used weapons

Lifetime map wins

4,973dust2
1,575nuke
1,146inferno
606train
402vertigo
197office
56bank
38safehouse

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

Faceit stats

Combat

88Matches
47%Win rate
0.76Avg K/D
59.3ADR
53%Headshot %

Clutches & streaks

30%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1450%0.7312.6
Inferno1436%0.659.6
Cache1338%0.7712.0
Ancient1338%0.7610.9
Mirage1127%0.7010.4
Overpass1080%0.8213.7
Dust2956%0.689.8
Anubis475%1.5114.8

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
34.8%Accuracy (enemy spotted)
31.4%Spray accuracy
88.7%Counter-strafing
10.4°Preaim
664msReaction time
31.1%T opening success
30.0%CT opening success
0.55Enemies flashed / flash
4.4%Flash assists
5.55HE damage / grenade
11.29Flashes / 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 31.0518% — below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–90.0622%14 Oct →
ancient8–13-0.0116%14 Oct →
dust27–13-0.0721%14 Oct →
nuke9–130.0318%14 Oct →
cache9–13-0.0310%13 Oct →
mirage7–13-0.0513%13 Oct →
inferno13–5-0.0515%12 Oct →
dust211–13-0.0128%12 Oct →
mirage10–13-0.0312%7 Oct →
vertigo9–13-0.0415%4 Oct →
dust213–10.0618%4 Oct →
inferno13–30.0516%4 Oct →
dust26–13-0.0615%3 Oct →
mirage3–13-0.0733%3 Oct →
dust210–130.0326%3 Oct →
vertigo13–60.0424%30 Sept →
cache3–13-0.1019%30 Sept →
cache6–130.0822%30 Sept →
dust28–13-0.0315%30 Sept →
train8–13-0.0624%29 Sept →
anubis9–13-0.0223%29 Sept →
dust213–4-0.0016%29 Sept →
mirage8–10-0.038%29 Sept →
inferno13–11-0.0342%26 Sept →
ancient7–13-0.0619%26 Sept →
nuke11–13-0.0025%25 Sept →
dust210–130.0112%24 Sept →
mirage4–13-0.0412%10 Sept →
nuke7–13-0.0411%6 Sept →
cache3–13-0.0328%4 Sept →
dust213–30.0412%4 Sept →
dust213–11-0.0522%2 Sept →
overpass13–6-0.0137%2 Sept →
ancient1–13-0.0924%21 Aug →
dust28–13-0.0016%21 Aug →
cache1–13-0.0916%4 Aug →
ancient7–13-0.0817%4 Aug →
mirage10–13-0.0428%4 Aug →
vertigo13–90.0217%29 Jul →
dust28–13-0.0243%29 Jul →
nuke2–13-0.097%29 Jul →
mirage6–13-0.0725%27 Jul →
anubis13–5-0.0621%26 Jul →
nuke13–8-0.0410%26 Jul →
mirage7–130.0513%15 Jul →
inferno9–130.0527%15 Jul →
dust213–90.0222%14 Jul →
cache7–13-0.0017%14 Jul →
dust29–130.1323%14 Jul →
mirage13–30.0629%14 Jul →
shelter7–13-0.0121%9 Jul →
inferno2–13-0.0517%9 Jul →
boulder9–130.0919%9 Jul →
nuke13–30.0920%9 Jul →
overpass13–00.1124%2 Jul →
cache13–9-0.0521%2 Jul →
cache13–60.0431%2 Jul →
nuke16–14-0.0317%1 Jul →
inferno13–80.0626%1 Jul →
nuke10–13-0.0320%1 Jul →
cache13–2-0.0118%30 Jun →
cache16–120.0015%25 Jun →
mirage13–6-0.0123%25 Jun →
dust213–10-0.0422%24 Jun →
cache3–13-0.0730%24 Jun →
mirage13–11-0.0115%24 Jun →
anubis10–13-0.0721%23 Jun →
ancient16–12-0.0014%18 Jun →
anubis13–11-0.0224%18 Jun →
ancient9–13-0.0215%16 Jun →
cache13–4-0.0133%16 Jun →
nuke9–13-0.0118%16 Jun →
overpass13–9-0.0615%16 Jun →
mirage9–13-0.0113%15 Jun →
cache5–130.0516%15 Jun →
ancient13–30.1130%15 Jun →
cache12–12-0.0429%15 Jun →
cache10–13-0.0625%15 Jun →
cache13–16-0.0622%15 Jun →
mirage11–13-0.0313%11 Jun →
inferno11–13-0.0018%11 Jun →
cache13–100.0117%10 Jun →
dust216–12-0.0520%10 Jun →
overpass16–14-0.0329%9 Jun →
mirage6–13-0.048%6 Jun →
cache8–130.0020%6 Jun →
inferno13–8-0.0415%6 Jun →
overpass13–60.0515%28 May →
cache12–12-0.0126%28 May →
cache13–90.0313%25 May →
nuke13–10-0.0711%23 May →
ancient11–13-0.0125%23 May →
cache7–13-0.0321%23 May →
cache10–13-0.0119%21 May →
overpass6–13-0.0129%21 May →
ancient11–13-0.0310%20 May →
dust26–13-0.019%20 May →
cache13–30.0312%19 May →
mirage12–120.0215%19 May →
cache13–40.0420%19 May →

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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