۞Zebber

۞Zebber — CS2 Stats

MC76561197996521968[U:1:36256240]Steam profile ↗✓ No bans

302Tracked matches36%Win rate2020Tracked since
CSDB Rating4.0 DevelopingSupport
Premier CS Rating10,248Blue band · top ~53.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

−434Premier CS Rating · 10,682 → 10,248

Rating over time

Premier CS Rating: 10,248 -949 31 Jul – 1 Oct · 30 days played
10,24814,409peak 14,40931 Jul1 Oct
14,627Peak Premier in tracked matches
29Days played since 2026-07-31

Premier CS Rating

  • 4,161 below peak (14,409)
  • -1,691 over 30 days · declining
  • Next: Purple band at 15,000 — 4,752 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

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

Share this profile

CSDB.GG۞ZebberFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER10,248 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning46
Utility60

0–100 skill scores via Leetify.

Recent form

COLD40–58–2Last 10040%Win rateLLLTLWWLWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +1.1pp headshot accuracy · −27ms reaction

Win rate down 20pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 20%
  • Avg reaction 625ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 605ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 618ms

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 (+1.6 against its own average).

Aim4.6
Utility6.0
Positioning4.6
Opening Duels2.6

Strong CT-side opener

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 73% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 626ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.6
Positioning4.6
Utility6.0
Mechanics4.2
Opening Duels3.3
Win Impact0.2

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time617ms−40ms
first ⅓ avg 656ms → last ⅓ avg 617ms
Headshot accuracy19.8%+2.0%
first ⅓ avg 17.8% → last ⅓ avg 19.8%

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

0.10Best match rating · 13–2 · dust2, 19 Aug →
40%Best headshot accuracy · 8–13 · cache, 22 Aug →
422msFastest reaction time · 3–13 · anubis, 1 Oct →
13–1Biggest win · inferno, 20 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
13–6In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 62% over 13anubisWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
dust2D196–1332%-0.01
mirageC187–1139%-0.01
infernoC167–944%-0.04
ancientB147–750%-0.02
nukeA138–562%-0.03
anubisD111–109%-0.02
cacheC94–544%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.6%Headshot accuracy
31.7%Accuracy (enemy spotted)
32.2%Spray accuracy
68.9%Counter-strafing
11.0°Preaim
626msReaction time
37.0%T opening success
49.5%CT opening success
0.60Enemies flashed / flash
2.6%Flash assists
8.76HE damage / grenade
8.85Flashes / 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 37.0142% — below the 40% mark we flag

Spend your practice time on Anubis

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.1120%1 Oct →
anubis3–13-0.0920%1 Oct →
mirage8–130.0022%26 Sept →
anubis15–15-0.0417%24 Sept →
cache8–13-0.0420%12 Sept →
inferno13–7-0.0210%12 Sept →
ancient13–11-0.0429%12 Sept →
inferno9–13-0.0823%12 Sept →
nuke13–2-0.0213%12 Sept →
mirage4–13-0.0323%12 Sept →
cache13–6-0.0312%12 Sept →
anubis3–13-0.0230%10 Sept →
mirage7–130.0120%10 Sept →
ancient13–11-0.0417%3 Sept →
dust210–13-0.0713%3 Sept →
mirage15–15-0.0416%2 Sept →
mirage13–50.0722%2 Sept →
inferno13–10-0.0113%2 Sept →
nuke16–14-0.0421%1 Sept →
dust214–16-0.0020%1 Sept →
dust211–13-0.0321%1 Sept →
ancient13–160.0417%31 Aug →
anubis6–130.0015%31 Aug →
mirage13–110.0225%28 Aug →
mirage13–160.0222%28 Aug →
nuke9–13-0.0613%27 Aug →
ancient13–110.0422%26 Aug →
ancient5–13-0.0611%25 Aug →
dust26–13-0.0919%25 Aug →
inferno2–13-0.068%24 Aug →
anubis4–13-0.0430%24 Aug →
mirage4–13-0.0237%24 Aug →
inferno13–20.0135%22 Aug →
cache8–13-0.0140%22 Aug →
dust214–16-0.0618%22 Aug →
ancient13–8-0.045%22 Aug →
inferno13–11-0.075%22 Aug →
ancient8–13-0.0414%22 Aug →
cache16–13-0.0115%21 Aug →
dust26–13-0.0324%21 Aug →
nuke13–12-0.0420%21 Aug →
mirage13–10-0.0111%20 Aug →
nuke13–11-0.0226%20 Aug →
inferno13–10.0124%20 Aug →
anubis10–13-0.0213%19 Aug →
nuke9–13-0.0521%19 Aug →
dust213–20.1026%19 Aug →
nuke8–13-0.0521%18 Aug →
inferno6–13-0.0620%18 Aug →
mirage13–20.0129%18 Aug →
inferno11–13-0.0521%17 Aug →
ancient13–6-0.0213%17 Aug →
anubis7–13-0.0723%17 Aug →
dust213–90.0620%16 Aug →
mirage3–13-0.066%16 Aug →
cache13–110.069%16 Aug →
mirage12–16-0.0323%16 Aug →
ancient2–13-0.0230%16 Aug →
dust25–130.0033%16 Aug →
inferno9–13-0.0211%16 Aug →
inferno11–13-0.0415%15 Aug →
ancient6–130.0522%15 Aug →
mirage13–100.0617%15 Aug →
dust213–8-0.065%15 Aug →
nuke13–90.0715%15 Aug →
dust214–160.0219%15 Aug →
anubis16–130.0515%14 Aug →
mirage0–13-0.0528%14 Aug →
cache9–13-0.0316%14 Aug →
ancient5–130.0420%14 Aug →
dust22–13-0.0224%14 Aug →
inferno16–140.0318%14 Aug →
cache2–13-0.0920%14 Aug →
nuke13–6-0.057%14 Aug →
dust213–90.0121%14 Aug →
anubis3–13-0.0713%13 Aug →
inferno13–8-0.0432%13 Aug →
mirage13–10-0.0312%13 Aug →
ancient13–11-0.0610%13 Aug →
dust24–130.0224%13 Aug →
dust29–130.0024%13 Aug →
nuke13–100.045%13 Aug →
ancient13–16-0.0321%12 Aug →
inferno9–13-0.0714%11 Aug →
mirage13–8-0.008%11 Aug →
dust29–13-0.0518%9 Aug →
ancient13–6-0.0718%6 Aug →
inferno13–16-0.0418%6 Aug →
dust213–80.0418%6 Aug →
nuke1–13-0.0724%6 Aug →
inferno4–13-0.0910%6 Aug →
anubis9–13-0.0330%6 Aug →
dust213–40.0519%6 Aug →
nuke16–14-0.0121%31 Jul →
anubis9–130.0815%31 Jul →
mirage5–130.0210%31 Jul →
cache9–13-0.0720%31 Jul →
dust29–130.0128%31 Jul →
cache13–110.0514%31 Jul →
mirage10–13-0.037%31 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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