City Airlines

City Airlines — CS2 Stats

IE76561199110377039[U:1:1150111311]Steam profile ↗✓ No bans

1,450Tracked matches52%Win rate2022Tracked since
2,225Hours in CS26Hrs last 2 wks
CSDB Rating5.6 SolidSupport
Premier CS Rating20,000Top 50% of 215,386 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#84574 of 261542 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (10 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.

Rating over time

Premier CS Rating: 20,000 +1,815 29 Aug – 4 Nov · 25 days played
16,58020,000peak 20,00029 Aug4 Nov
20,486Peak Premier in tracked matches
28Days played since 2026-08-29

Premier CS Rating

  • At peak — 20,000
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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=10,505), 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 rate38.4%41.8%42.7%4.3% short
Shot accuracy7.7%12.2%11.2%3.6% short
Kill/death ratio0.750.980.990.24 short
Match win rate47.1%43.3%43.9%above

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGCity AirlinesFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER20,000 · Pink 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

Aim69
Positioning48
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLLWWWLWWWL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +0.8pp headshot accuracy · +32ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 576ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 565ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 549ms

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 (+3.1 against its own average).

Aim6.9
Utility6.3
Positioning4.8
Opening Duels1.2
Clutch0.6

Effective flashes

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

b1t

Plays most like b1t 80% 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

Strengths

Flashes. 0.88 enemies blinded per flash — utility that consistently lands.

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

Aim6.9
Positioning4.8
Utility6.3
Mechanics5.6
Opening Duels1.5
Win Impact5.6

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time536ms−39ms
first ⅓ avg 575ms → last ⅓ avg 536ms
Headshot accuracy13.9%−0.0%
first ⅓ avg 13.9% → last ⅓ avg 13.9%

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

0.11Best match rating · 13–9 · anubis, 19 Oct →
30%Best headshot accuracy · 13–6 · inferno, 22 Oct →
406msFastest reaction time · 8–13 · ancient, 2 Nov →
13–0Biggest win · inferno, 8 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
12–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 65% over 17nukeWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.02
anubisS1711–665%0.01
dust2A148–657%-0.04
infernoA138–562%-0.02
nukeD124–833%0.01
cacheC104–640%-0.03
ancientC73–443%-0.01
office—41–325%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,007Lifetime kills
0.75K/D
3,797Matches
47.1%Match win rate · Top 25% of Level 3 players
38.4%Headshot %
7.7%Shot accuracy
4,538MVPs
1,319Hours (in match)
3,022Bombs planted
489Bombs defused

Most-used weapons

Lifetime map wins

5,083inferno
3,668nuke
3,536dust2
2,130vertigo
854cbble
544office
280train
175italy

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

Faceit stats

Combat

70Matches
44%Win rate
0.93Avg K/D
84.5ADR
47%Headshot %

Clutches & streaks

23%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2642%0.8815.0
Dust21644%0.9317.1
Inferno1070%1.0215.8
Nuke714%1.0117.0
Anubis743%1.0319.1
Ancient333%0.8119.7
Overpass1100%0.5910.0

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.

13.4%Headshot accuracy
34.3%Accuracy (enemy spotted)
39.2%Spray accuracy
75.2%Counter-strafing
8.6°Preaim
546msReaction time
27.2%T opening success
41.7%CT opening success
0.88Enemies flashed / flash
3.1%Flash assists
10.13HE damage / grenade
8.21Flashes / 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 13.4006% — 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 27.1538% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0315%4 Nov →
cache8–13-0.038%4 Nov →
dust213–10-0.0317%4 Nov →
dust213–7-0.097%4 Nov →
cache13–4-0.0515%4 Nov →
cache5–13-0.0415%4 Nov →
mirage13–40.0520%4 Nov →
inferno13–10-0.0215%4 Nov →
inferno13–7-0.018%4 Nov →
mirage14–16-0.0310%3 Nov →
mirage13–80.0611%3 Nov →
inferno13–9-0.0325%3 Nov →
anubis7–13-0.0210%2 Nov →
anubis13–70.069%2 Nov →
dust210–13-0.0020%2 Nov →
anubis13–4-0.0013%2 Nov →
office7–130.0113%2 Nov →
office13–70.039%2 Nov →
dust213–9-0.085%2 Nov →
anubis16–140.036%2 Nov →
ancient10–13-0.0612%2 Nov →
mirage11–13-0.019%2 Nov →
ancient8–13-0.0312%2 Nov →
mirage10–13-0.0819%2 Nov →
mirage13–10-0.0319%2 Nov →
ancient11–13-0.0510%1 Nov →
dust22–13-0.0821%1 Nov →
dust24–13-0.0421%1 Nov →
dust213–11-0.0314%31 Oct →
dust215–15-0.0118%31 Oct →
mirage11–13-0.0319%31 Oct →
anubis13–9-0.0018%31 Oct →
inferno15–15-0.0314%31 Oct →
dust213–9-0.0615%28 Oct →
mirage9–130.0218%27 Oct →
anubis13–11-0.017%27 Oct →
anubis16–140.0614%27 Oct →
inferno9–13-0.077%24 Oct →
nuke9–130.0116%24 Oct →
nuke6–13-0.019%23 Oct →
anubis13–8-0.0313%22 Oct →
nuke10–130.0311%22 Oct →
inferno13–110.0112%22 Oct →
office8–130.006%22 Oct →
cache9–13-0.0713%22 Oct →
mirage13–9-0.049%22 Oct →
inferno13–6-0.0230%22 Oct →
cache13–80.0212%22 Oct →
cache11–13-0.0220%22 Oct →
anubis13–90.0419%21 Oct →
nuke13–60.0922%21 Oct →
ancient13–80.0416%21 Oct →
nuke5–130.0115%20 Oct →
cache5–13-0.0514%19 Oct →
anubis13–90.1118%19 Oct →
anubis3–13-0.0221%16 Oct →
nuke13–10-0.0318%15 Oct →
mirage8–13-0.045%15 Oct →
nuke14–16-0.0413%14 Oct →
office3–13-0.0012%13 Oct →
dust27–13-0.0610%7 Oct →
inferno7–13-0.0310%7 Oct →
mirage2–130.0319%2 Oct →
mirage13–90.0414%1 Oct →
ancient13–10-0.0417%14 Sept →
mirage6–13-0.0415%14 Sept →
cache16–14-0.0313%11 Sept →
dust213–100.0224%11 Sept →
ancient9–130.0110%11 Sept →
dust213–110.0315%11 Sept →
mirage13–10.0419%11 Sept →
mirage13–4-0.0419%9 Sept →
mirage13–6-0.0113%9 Sept →
inferno10–13-0.0417%9 Sept →
inferno15–150.0216%8 Sept →
nuke2–13-0.0713%8 Sept →
anubis13–7-0.019%8 Sept →
cache8–13-0.0611%8 Sept →
nuke13–70.0919%8 Sept →
nuke13–7-0.0211%8 Sept →
ancient13–60.0516%8 Sept →
inferno13–0-0.009%8 Sept →
dust210–13-0.077%8 Sept →
anubis7–13-0.0210%8 Sept →
mirage5–13-0.0818%8 Sept →
inferno13–100.0219%7 Sept →
anubis16–14-0.0215%7 Sept →
anubis4–13-0.0011%6 Sept →
dust216–13-0.0211%6 Sept →
mirage14–16-0.0511%6 Sept →
cache13–11-0.0315%6 Sept →
mirage13–10-0.0117%6 Sept →
nuke4–13-0.0118%6 Sept →
anubis13–16-0.0310%5 Sept →
inferno13–11-0.0712%5 Sept →
mirage5–13-0.0217%5 Sept →
nuke15–150.1011%5 Sept →
mirage16–14-0.038%29 Aug →
mirage13–11-0.076%29 Aug →
mirage13–90.0221%29 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.