Cibino

Cibino — CS2 Stats

NO76561198018094412[U:1:57828684]Steam profile ↗✓ No bans

706Tracked matches52%Win rate2023Tracked since
542Hours in CS
CSDB Rating4.4 DevelopingSupport
Premier CS Rating10,549Blue band · top ~52% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 30 days played since 17 Aug 2024. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,549 -5,533 17 Aug – 4 Sept · 12 days played
10,54916,082peak 16,08217 Aug4 Sept
16,270Peak Premier in tracked matches
30Days played since 2024-08-17

Premier CS Rating

  • 5,533 below peak (16,082)
  • Next: Purple band at 15,000 — 4,451 to go
  • Reached: Purple band · Blue band · Light Blue band

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 3 among CSDB-tracked players (n=9,584), 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 3 medianLevel 4 medianvs Level 4
Headshot rate40.3%41.9%42.7%2.4% short
Shot accuracy14.3%12.2%11.3%above
Kill/death ratio0.990.980.99meets
Match win rate39.6%43.3%43.9%4.3% short

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

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCibinoFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER10,549 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim52
Positioning50
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWWWLWWLLLL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +4.7pp headshot accuracy · +18ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 545ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 581ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 572ms

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 (+0.9 against its own average).

Aim5.2
Utility5.2
Positioning5.0
Opening Duels2.7

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 79% 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

T-side openings. Opening success drops from 48% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim5.2
Positioning5.0
Utility5.2
Mechanics3.0
Opening Duels2.3
Win Impact5.6

Composite 4.4/10 (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-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time567ms−54ms
first ⅓ avg 621ms → last ⅓ avg 567ms
Headshot accuracy12.8%+0.2%
first ⅓ avg 12.6% → last ⅓ avg 12.8%

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

0.15Best match rating · 13–6 · anubis, 13 Sept →
29%Best headshot accuracy · 11–13 · ancient, 15 Sept →
375msFastest reaction time · 10–13 · vertigo, 8 Sept →
13–1Biggest win · inferno, 4 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
12–9In matches decided by ≤2 rounds
18Overtime games

Map breakdown

anubisBest map · 82% over 11mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C218–1338%-0.02
nukeA1912–763%-0.01
ancientC156–940%-0.01
infernoC125–742%-0.01
anubisS119–282%0.01
mirageD72–529%-0.02
cacheD72–529%-0.02
overpass—30–30%-0.04
vertigo—31–233%0.02
train—22–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,712Lifetime kills
0.99K/D · Top 50% of Level 3 players
1,478Matches
39.6%Match win rate
40.3%Headshot %
14.3%Shot accuracy · Top 50% of Level 3 players
2,783MVPs
542Hours (in match)
906Bombs planted
185Bombs defused

Most-used weapons

Lifetime map wins

2,416inferno
1,888dust2
1,669nuke
540vertigo
359train
279cbble
49office
35lake

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

Faceit stats

Combat

12Matches
67%Win rate
1.21Avg K/D
—ADR
34%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1100%1.3811.0
Nuke1100%1.1919.0

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.

13.2%Headshot accuracy
34.6%Accuracy (enemy spotted)
41.8%Spray accuracy
63.7%Counter-strafing
11.5°Preaim
563msReaction time
23.9%T opening success
48.4%CT opening success
0.60Enemies flashed / flash
6.9%Flash assists
9.04HE damage / grenade
11.79Flashes / 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 13.2433% — 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 23.9059% — below the 40% mark we flag

Spend your practice time on Mirage

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient16–14-0.019%4 Sept →
inferno13–1-0.0325%4 Sept →
mirage13–110.1119%4 Sept →
dust22–13-0.0513%4 Sept →
nuke13–6-0.0110%4 Sept →
dust213–7-0.0616%4 Sept →
inferno6–13-0.049%25 Aug →
dust23–13-0.059%25 Aug →
cache7–13-0.048%25 Aug →
cache11–130.0119%23 Aug →
dust24–13-0.065%23 Aug →
mirage7–13-0.044%23 Aug →
inferno6–13-0.072%22 Aug →
cache2–13-0.083%22 Aug →
inferno12–16-0.0312%22 Aug →
ancient16–140.0313%22 Aug →
anubis7–13-0.0610%22 Aug →
nuke13–8-0.037%22 Aug →
cache13–9-0.0819%22 Aug →
nuke16–13-0.0516%22 Aug →
cache11–130.0318%22 Aug →
nuke13–100.0012%22 Aug →
inferno13–70.0725%21 Aug →
dust213–3-0.019%16 Aug →
anubis13–10.018%16 Aug →
ancient13–100.0615%16 Aug →
ancient5–13-0.0519%15 Aug →
train13–90.0810%15 Aug →
cache15–150.0119%14 Aug →
inferno12–160.0520%14 Aug →
dust212–16-0.069%14 Aug →
ancient15–150.0113%14 Aug →
overpass7–13-0.0414%18 May →
anubis13–4-0.039%18 May →
dust212–16-0.0410%18 May →
dust213–90.0413%30 Apr →
ancient4–13-0.0410%30 Apr →
nuke11–13-0.059%30 Apr →
cache11–1-0.0015%30 Apr →
train16–14-0.0312%3 Nov →
dust214–160.0011%3 Nov →
dust215–15-0.0015%11 Aug →
ancient8–13-0.0715%29 Jun →
nuke13–8-0.069%29 Jun →
inferno8–13-0.0612%8 Jun →
inferno13–100.0117%5 Jun →
nuke13–40.029%5 Jun →
anubis13–3-0.0311%5 Jun →
mirage4–13-0.0810%5 Jun →
anubis13–16-0.0111%25 May →
dust213–16-0.0210%25 May →
mirage2–13-0.0416%25 May →
dust211–13-0.0416%25 Apr →
nuke13–60.0421%25 Apr →
dust213–8-0.0726%9 Mar →
dust213–11-0.0519%9 Mar →
ancient13–160.0010%2 Mar →
dust213–7-0.0216%2 Mar →
nuke11–130.0210%2 Mar →
anubis16–13-0.0217%13 Oct →
overpass12–12-0.0210%13 Oct →
dust20–13-0.079%13 Oct →
nuke13–110.0213%26 Sept →
anubis13–8-0.0119%26 Sept →
nuke9–13-0.0515%26 Sept →
ancient11–13-0.0929%15 Sept →
nuke13–90.059%15 Sept →
mirage4–13-0.086%15 Sept →
anubis13–60.1515%13 Sept →
inferno10–00.073%13 Sept →
nuke11–130.0410%13 Sept →
ancient13–40.0310%13 Sept →
mirage7–13-0.037%13 Sept →
vertigo10–130.009%8 Sept →
ancient10–3-0.0420%8 Sept →
dust213–10.1017%8 Sept →
ancient16–140.046%7 Sept →
vertigo13–8-0.0010%7 Sept →
anubis13–11-0.0216%7 Sept →
dust29–13-0.0412%7 Sept →
dust29–13-0.0323%7 Sept →
inferno9–13-0.0519%7 Sept →
overpass9–13-0.0618%6 Sept →
nuke9–130.0110%6 Sept →
vertigo9–130.0717%6 Sept →
nuke12–160.0114%6 Sept →
anubis13–60.0820%6 Sept →
dust213–110.0210%29 Aug →
inferno11–13-0.0114%29 Aug →
dust27–13-0.006%28 Aug →
ancient10–130.0219%28 Aug →
nuke13–7-0.0717%28 Aug →
anubis13–110.0515%28 Aug →
nuke4–13-0.088%19 Aug →
ancient10–13-0.0711%19 Aug →
nuke13–110.009%17 Aug →
ancient3–130.058%17 Aug →
mirage13–110.0117%17 Aug →
nuke13–3-0.088%17 Aug →
inferno13–10-0.0115%17 Aug →

Match data via Leetify.

Recent teammates

Milestones

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