eRbS

eRbS — CS2 Stats

DK76561197968663051[U:1:8397323]Steam profile ↗✓ No bans

4,861Tracked matches30%Win rate2020Tracked since
6,901Hours in CS28Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

+9Tracked matches · now 4,861
0.0ppWin rate · 29.6% → 29.6%

Rating over time

31Days played since 2026-05-10

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=13,496), 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 rate39.5%44.8%45.7%6.2% short
Shot accuracy19.1%12.4%12.7%above
Kill/death ratio0.971.031.050.08 short
Match win rate48.4%45.2%45.7%above

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGeRbSFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning59
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateWLWWLLWLWL

Last 10 vs previous 10: +40pp win rate · +0.06 avg rating · +0.9pp headshot accuracy · −40ms reaction

Win rate up 40pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 512ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 518ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 538ms

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 (+1.8 against its own average).

Aim7.4
Utility4.1
Positioning5.9
Opening Duels3.3
Clutch3.2

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

jL

Plays most like jL 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 563ms 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

Aim7.4
Positioning5.9
Utility4.1
Mechanics6.6
Opening Duels3.6
Win Impact0.0

Composite 5.4/10 (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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time555ms−62ms
first ⅓ avg 618ms → last ⅓ avg 555ms
Headshot accuracy22.2%−6.2%
first ⅓ avg 28.5% → last ⅓ avg 22.2%

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

0.21Best match rating · 9–2 · vertigo, 23 Aug →
75%Best headshot accuracy · 5–1 · dust2, 15 Aug →
406msFastest reaction time · 13–9 · italy, 6 Sept →
13–2Biggest win · nuke, 19 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 60% over 5infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB2915–1452%-0.02
italyB2411–1346%-0.01
officeD103–730%-0.02
dust2B63–350%0.02
infernoD61–517%-0.08
vertigoA53–260%0.04
shelter—41–325%-0.04
rush_001—32–167%-0.01
ancient—31–233%-0.01
anubis—31–233%0.01
cache—32–167%-0.04
mirage—10–10%0.00
fachwerk—11–0100%-0.01
debris—10–10%0.05
poseidon—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

169,752Lifetime kills
0.97K/D
9,445Matches
48.4%Match win rate · Top 25% of Level 6 players
39.5%Headshot %
19.1%Shot accuracy · Top 10% of Level 6 players
22,613MVPs
3,643Hours (in match)
6,559Bombs planted
1,956Bombs defused

Most-used weapons

AWP49,282
AK-4718,293
XM101412,101
AUG6,515
SG 5534,615

Lifetime map wins

36,278nuke
16,642inferno
14,302vertigo
6,249dust2
1,054train
720office
429italy
324lake

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

Faceit stats

Combat

335Matches
50%Win rate
1.11Avg K/D
88.7ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
29%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke5364%1.5319.9
Ancient3238%1.3518.6
Anubis2339%1.1518.0
Inferno2157%1.2718.6
Vertigo1547%0.9715.9
Dust21527%1.0816.9
Cache1331%0.9317.1
Mirage367%0.9015.7

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.

21.1%Headshot accuracy
34.8%Accuracy (enemy spotted)
35.2%Spray accuracy
79.5%Counter-strafing
10.1°Preaim
563msReaction time
49.8%T opening success
38.8%CT opening success
0.56Enemies flashed / flash
0.8%Flash assists
10.97HE damage / grenade
3.83Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8304 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 38.8317% — below the 40% mark we flag

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
rush_0018–4-0.0531%28 Oct →
ancient6–130.0210%17 Oct →
rush_0018–6-0.0242%11 Oct →
vertigo13–90.0713%8 Oct →
rush_0013–70.0438%8 Oct →
nuke11–130.0417%2 Oct →
anubis13–100.0614%30 Sept →
mirage3–130.0018%23 Sept →
dust213–100.0721%16 Sept →
dust210–13-0.0430%16 Sept →
nuke8–13-0.0014%15 Sept →
dust22–11-0.0618%15 Sept →
inferno9–13-0.0916%14 Sept →
shelter3–13-0.0721%14 Sept →
fachwerk13–8-0.0123%14 Sept →
office2–13-0.0723%14 Sept →
nuke19–220.0030%13 Sept →
vertigo10–13-0.0130%13 Sept →
nuke7–13-0.0219%13 Sept →
italy1–10-0.0629%13 Sept →
italy12–12-0.0526%13 Sept →
anubis7–13-0.0520%7 Sept →
inferno5–13-0.1125%7 Sept →
italy7–130.0032%6 Sept →
office4–13-0.0626%6 Sept →
italy13–9-0.0432%6 Sept →
italy13–8-0.0017%30 Aug →
italy12–12-0.0426%30 Aug →
italy13–40.0410%29 Aug →
italy10–130.0033%29 Aug →
office12–12-0.0212%29 Aug →
nuke13–11-0.0014%29 Aug →
shelter5–13-0.016%29 Aug →
italy13–5-0.0423%29 Aug →
shelter4–13-0.1017%28 Aug →
shelter13–40.0312%28 Aug →
italy13–9-0.0219%28 Aug →
anubis11–130.0323%28 Aug →
italy11–130.0525%28 Aug →
italy5–130.0636%28 Aug →
office11–130.0121%28 Aug →
italy2–13-0.0425%28 Aug →
italy11–13-0.0421%28 Aug →
office13–6-0.0229%28 Aug →
italy13–90.0447%28 Aug →
office12–120.0227%28 Aug →
italy9–13-0.0624%27 Aug →
italy13–6-0.0027%27 Aug →
italy0–13-0.0755%27 Aug →
office12–12-0.0230%27 Aug →
italy13–60.0525%27 Aug →
italy7–2-0.0650%27 Aug →
office13–100.0330%27 Aug →
inferno7–13-0.0317%27 Aug →
vertigo6–13-0.0214%27 Aug →
nuke6–13-0.0830%27 Aug →
dust216–130.0229%27 Aug →
office12–12-0.0132%27 Aug →
italy13–110.0142%27 Aug →
italy8–30.0038%27 Aug →
italy12–12-0.0224%26 Aug →
office13–10-0.0617%26 Aug →
italy7–130.0218%26 Aug →
nuke4–13-0.0026%26 Aug →
nuke7–13-0.0614%26 Aug →
inferno2–13-0.129%26 Aug →
debris7–90.0527%23 Aug →
poseidon9–6-0.0250%23 Aug →
vertigo9–20.2131%23 Aug →
nuke8–80.0240%23 Aug →
nuke13–11-0.0519%19 Aug →
nuke13–7-0.0538%17 Aug →
nuke1–9-0.2029%17 Aug →
nuke0–9-0.0441%17 Aug →
nuke12–2-0.0014%15 Aug →
ancient14–16-0.026%15 Aug →
dust25–10.1375%15 Aug →
nuke13–90.0519%15 Aug →
nuke0–13-0.0419%12 Aug →
inferno13–10-0.0425%12 Aug →
nuke16–13-0.0110%12 Aug →
nuke13–50.0822%12 Aug →
nuke13–7-0.0221%12 Aug →
nuke13–4-0.0127%12 Aug →
nuke16–14-0.0517%11 Aug →
dust214–16-0.0250%11 Aug →
vertigo13–11-0.0431%10 Aug →
nuke2–9-0.0732%10 Aug →
nuke11–130.0232%8 Aug →
nuke13–100.0112%8 Aug →
nuke13–100.0348%5 Aug →
nuke13–7-0.0340%5 Aug →
nuke1–13-0.0221%19 Jul →
nuke13–20.0114%19 Jul →
inferno12–12-0.1130%21 May →
nuke13–20.0113%21 May →
cache7–13-0.0442%21 May →
ancient13–6-0.0115%13 May →
cache13–11-0.0623%13 May →
cache13–5-0.0235%10 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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