Vibban

Vibban — CS2 Stats

76561197960761968[U:1:496240]Steam profile ↗✓ No bans

473Tracked matches63%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
CSDB Leaderboard#25011 of 259985 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,860 +7,918 17 Sept – 1 Jul · 13 days played
16,94225,123peak 25,12317 Sept1 Jul
25,123Peak Premier in tracked matches
55Days played since 2024-03-17

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

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CSDB.GGVibbanFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning57
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateWLWWWLWWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.8pp headshot accuracy · −49ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 587ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 574ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 598ms

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 (+2 against its own average).

Aim7.9
Utility5.4
Positioning5.7
Opening Duels2.7
Clutch1.0

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

Twistzz

Plays most like Twistzz 95% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

T-side openings. Opening success drops from 49% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim7.9
Positioning5.7
Utility5.4
Mechanics7.0
Opening Duels2.3
Win Impact9.4

Composite 6.5/10 (Solid), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time584ms+15ms
first ⅓ avg 569ms → last ⅓ avg 584ms
Headshot accuracy23.0%−0.1%
first ⅓ avg 23.0% → last ⅓ avg 23.0%

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

0.14Best match rating · 10–1 · mirage, 7 Jul →
43%Best headshot accuracy · 6–13 · vertigo, 17 Mar →
391msFastest reaction time · 5–13 · inferno, 27 Oct →
13–2Biggest win · mirage, 1 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
12–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 67% over 33infernoWeakest map · 50% over 18
MapGradePlayedRecordWin rateAvg rating
mirageS3322–1167%0.01
infernoB189–950%0.01
anubisA138–562%0.01
ancientA138–562%0.01
dust2S96–367%0.00
overpassB63–350%0.02
cache—42–250%0.01
vertigo—20–20%0.02
nuke—20–20%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

324Matches
57%Win rate
1.26Avg K/D
75.7ADR
45%Headshot %

Clutches & streaks

25%1v1 clutch win
35%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4445%1.0115.0
Anubis2471%1.2517.6
Ancient2264%0.9814.7
Overpass978%1.5319.7
Dust2933%0.8212.6
Inferno333%0.8513.7
Vertigo3100%1.8120.0
Cache2100%1.0014.0

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.

22.6%Headshot accuracy
34.8%Accuracy (enemy spotted)
36.4%Spray accuracy
81.6%Counter-strafing
8.4°Preaim
594msReaction time
27.5%T opening success
48.7%CT opening success
0.51Enemies flashed / flash
4.1%Flash assists
12.97HE damage / grenade
5.40Flashes / 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 27.4603% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage13–60.1319%5 Aug →
inferno10–13-0.0433%23 Jul →
cache13–9-0.0121%23 Jul →
mirage13–90.0219%23 Jul →
anubis13–80.0132%22 Jul →
mirage11–13-0.0319%22 Jul →
anubis13–110.0318%22 Jul →
cache13–60.0122%22 Jul →
cache8–13-0.0016%18 Jul →
vertigo7–90.0529%12 Jul →
inferno13–5-0.0123%12 Jul →
mirage3–13-0.0322%12 Jul →
cache9–130.0332%12 Jul →
mirage13–9-0.0517%1 Jul →
mirage16–140.0123%1 Jul →
inferno7–130.0211%26 Jun →
nuke11–13-0.0126%26 Jun →
anubis13–90.0526%21 Jun →
ancient13–40.0635%21 Jun →
inferno13–110.0232%21 Jun →
overpass13–11-0.0312%16 Jun →
mirage5–13-0.0310%16 Jun →
overpass14–160.0136%10 Jun →
anubis12–160.0214%22 May →
mirage13–11-0.0010%22 May →
inferno13–70.0122%22 May →
dust26–13-0.0526%19 May →
inferno16–13-0.0729%19 Mar →
mirage13–70.0827%26 Feb →
ancient13–40.0827%26 Feb →
overpass13–30.1117%26 Feb →
inferno13–60.0528%3 Jan →
dust213–8-0.0027%3 Jan →
mirage13–110.0522%3 Jan →
mirage9–130.0028%26 Dec →
mirage13–11-0.0023%26 Dec →
inferno13–80.0026%28 Nov →
inferno10–130.0232%11 Nov →
ancient13–80.0413%11 Nov →
mirage13–6-0.0035%9 Nov →
ancient2–13-0.0432%8 Nov →
ancient13–90.0419%7 Nov →
ancient13–60.0337%14 Oct →
inferno10–130.0621%6 Oct →
overpass2–13-0.0319%6 Oct →
inferno15–150.0221%7 Sept →
ancient10–13-0.0314%14 Aug →
overpass13–80.0119%14 Aug →
mirage13–30.0211%8 Aug →
dust213–110.0423%8 Aug →
overpass12–160.0416%29 Jul →
inferno16–14-0.0217%29 Jul →
dust213–5-0.0311%29 Jul →
inferno13–80.089%10 Jul →
mirage11–13-0.0218%7 Jul →
mirage10–10.1414%7 Jul →
mirage13–20.0424%1 Jul →
anubis13–60.0113%1 Jul →
dust213–60.0324%14 Jun →
anubis13–16-0.0116%29 Apr →
mirage10–130.0212%25 Feb →
anubis8–130.0233%21 Feb →
mirage13–70.0325%21 Feb →
dust29–13-0.0230%20 Feb →
anubis13–50.0121%20 Feb →
ancient16–130.0321%19 Feb →
nuke10–13-0.0317%19 Feb →
ancient13–11-0.0218%19 Feb →
mirage13–90.0036%19 Feb →
dust216–130.0229%19 Feb →
anubis13–110.0018%14 Dec →
mirage6–13-0.0110%24 Nov →
ancient15–15-0.009%24 Nov →
mirage13–80.0927%10 Nov →
anubis13–30.037%10 Nov →
ancient0–13-0.0242%10 Nov →
inferno13–100.0130%10 Nov →
mirage3–13-0.1517%3 Nov →
inferno8–130.0622%29 Oct →
inferno5–130.0124%27 Oct →
ancient13–90.0219%27 Oct →
mirage13–70.0339%20 Oct →
mirage13–7-0.0240%20 Oct →
anubis13–9-0.0118%26 Sept →
mirage16–120.0221%26 Sept →
mirage13–5-0.0213%23 Sept →
dust213–7-0.0016%17 Sept →
mirage16–120.0721%17 Sept →
mirage13–16-0.0228%16 Sept →
mirage12–16-0.0711%10 Jun →
dust27–130.0223%10 Jun →
ancient1–13-0.0514%27 May →
anubis5–13-0.039%3 May →
inferno6–130.0034%28 Apr →
mirage13–20.0630%28 Apr →
mirage6–13-0.0027%4 Apr →
inferno11–13-0.0424%21 Mar →
mirage13–110.0618%20 Mar →
anubis11–130.0025%20 Mar →
vertigo6–13-0.0243%17 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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