Kairo

Kairo — CS2 Stats

FI76561198011839337[U:1:51573609]Steam profile ↗✓ No bans

2,012Tracked matches50%Win rate2020Tracked since
2,769Hours in CS
CSDB Rating6.9 SolidPositional Player
Premier CS Rating26,117Top 10% of 213,399 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#12768 of 260017 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 26,117 +2,705 30 Aug – 4 Nov · 24 days played
22,05726,117peak 26,11730 Aug4 Nov
26,117Peak Premier in tracked matches
23Days played since 2026-08-30

Premier CS Rating

  • At peak — 26,117
  • +1,638 over 30 days · improving
  • Next: Gold band at 30,000 — 3,883 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-30
  • Purple band first seen 2026-08-30

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate46.4%46.8%48.2%1.8% short
Shot accuracy13.5%13.0%13.2%above
Kill/death ratio1.071.061.07meets
Match win rate45.3%46.3%46.9%1.7% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKairoFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER26,117 · Red 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

Aim80
Positioning63
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWWWLWLWWLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +0.4pp headshot accuracy · −47ms 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 18%
  • Avg reaction 499ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 518ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 541ms

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 (+1.6 against its own average).

Aim8.0
Utility6.1
Positioning6.3
Opening Duels3.7
Clutch2.6

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 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 65% on T to 46% on CT — first contacts on the defending side are being lost.

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

Aim8.0
Positioning6.3
Utility6.1
Mechanics5.9
Opening Duels6.4
Win Impact5.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time551ms−2ms
first ⅓ avg 553ms → last ⅓ avg 551ms
Headshot accuracy15.2%−0.8%
first ⅓ avg 16.0% → last ⅓ avg 15.2%

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

0.15Best match rating · 13–4 · cache, 5 Sept →
32%Best headshot accuracy · 13–10 · cache, 9 Oct →
406msFastest reaction time · 5–13 · dust2, 31 Oct →
13–1Biggest win · inferno, 7 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
5–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 86% over 7dust2Weakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
nukeS2618–869%-0.00
cacheS2218–482%0.04
mirageD153–1220%-0.00
dust2D122–1017%0.02
anubisC104–640%-0.00
ancientC83–538%-0.02
infernoS76–186%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

135,714Lifetime kills
1.07K/D · Top 50% of Level 8 players
6,571Matches
45.3%Match win rate
46.4%Headshot %
13.5%Shot accuracy · Top 50% of Level 8 players
15,789MVPs
2,769Hours (in match)
9,209Bombs planted
1,545Bombs defused

Most-used weapons

AK-4747,323
AWP5,933
MP93,076
P2502,382
UMP-452,175

Lifetime map wins

11,394inferno
6,825nuke
6,060dust2
4,832train
3,056cbble
1,281vertigo
140lake
101safehouse

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

Faceit stats

Combat

331Matches
53%Win rate
1.10Avg K/D
89.9ADR
43%Headshot %

Clutches & streaks

33%1v1 clutch win
10%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1872%1.2317.2
Anubis1471%1.3718.0
Mirage825%0.9416.6
Dust2771%1.4318.3
Inferno650%1.6019.3
Vertigo580%1.3216.4
Ancient450%0.9919.3
Train333%1.1821.0

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.

15.4%Headshot accuracy
38.7%Accuracy (enemy spotted)
43.0%Spray accuracy
76.4%Counter-strafing
8.5°Preaim
543msReaction time
65.0%T opening success
46.1%CT opening success
0.43Enemies flashed / flash
5.6%Flash assists
9.26HE damage / grenade
12.31Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4267 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–110.0221%4 Nov →
inferno13–110.0119%4 Nov →
inferno13–9-0.0022%4 Nov →
mirage13–16-0.0418%4 Nov →
nuke13–100.0212%4 Nov →
ancient11–130.0211%31 Oct →
cache13–30.0519%31 Oct →
nuke13–60.0214%31 Oct →
cache9–130.0918%31 Oct →
dust25–13-0.0421%31 Oct →
dust29–130.0314%30 Oct →
dust210–130.0615%30 Oct →
nuke13–60.0017%30 Oct →
mirage7–130.0527%30 Oct →
cache13–80.0824%30 Oct →
mirage4–13-0.017%29 Oct →
nuke13–70.0312%29 Oct →
cache13–70.0320%23 Oct →
mirage9–13-0.0220%23 Oct →
ancient13–11-0.0114%23 Oct →
cache13–70.036%23 Oct →
nuke8–13-0.059%21 Oct →
nuke13–16-0.0121%21 Oct →
mirage13–20.0015%20 Oct →
cache13–90.0211%20 Oct →
nuke3–13-0.0613%20 Oct →
anubis8–13-0.026%18 Oct →
dust213–160.0819%18 Oct →
cache13–20.026%14 Oct →
mirage11–13-0.055%14 Oct →
mirage13–60.0614%14 Oct →
cache13–90.0420%10 Oct →
inferno13–11-0.0114%10 Oct →
anubis2–13-0.0914%10 Oct →
cache11–50.0820%10 Oct →
nuke13–70.0112%10 Oct →
mirage9–130.0422%10 Oct →
cache13–40.0319%10 Oct →
ancient8–13-0.058%10 Oct →
cache13–7-0.0113%10 Oct →
mirage10–13-0.0120%9 Oct →
nuke13–10-0.0113%9 Oct →
inferno13–70.0318%9 Oct →
nuke13–9-0.0312%9 Oct →
ancient6–13-0.087%9 Oct →
cache3–130.0818%9 Oct →
cache13–100.0132%9 Oct →
cache16–13-0.029%7 Oct →
dust23–13-0.0220%7 Oct →
inferno13–10.1214%7 Oct →
nuke13–70.0214%7 Oct →
dust214–16-0.0317%7 Oct →
nuke6–13-0.0513%7 Oct →
cache3–13-0.019%7 Oct →
nuke13–10.0511%7 Oct →
anubis16–13-0.0612%2 Oct →
mirage13–2-0.0021%2 Oct →
nuke6–13-0.0815%27 Sept →
mirage7–13-0.0313%27 Sept →
mirage7–13-0.0415%24 Sept →
cache13–90.0314%24 Sept →
nuke13–70.0215%24 Sept →
nuke2–13-0.0713%24 Sept →
ancient9–13-0.019%22 Sept →
cache13–20.0712%22 Sept →
nuke13–4-0.0114%22 Sept →
dust211–130.0419%22 Sept →
anubis10–130.019%22 Sept →
dust213–60.0414%18 Sept →
inferno13–7-0.0018%18 Sept →
nuke7–00.0121%18 Sept →
ancient8–13-0.0214%18 Sept →
mirage9–13-0.0211%12 Sept →
dust213–40.1029%12 Sept →
anubis14–160.0212%12 Sept →
nuke9–13-0.0718%11 Sept →
nuke13–40.0514%11 Sept →
nuke13–3-0.023%11 Sept →
cache16–120.0211%11 Sept →
anubis13–9-0.0119%11 Sept →
nuke13–160.0627%11 Sept →
anubis15–150.0212%8 Sept →
anubis13–6-0.0118%8 Sept →
anubis9–130.0020%7 Sept →
inferno9–130.0316%7 Sept →
cache13–110.0122%7 Sept →
ancient16–12-0.006%7 Sept →
mirage10–130.0115%7 Sept →
dust27–130.0314%7 Sept →
mirage6–130.0114%5 Sept →
cache13–40.1517%5 Sept →
nuke13–20.0621%5 Sept →
ancient13–70.0013%5 Sept →
cache13–10.0624%5 Sept →
dust215–150.0221%5 Sept →
nuke13–60.018%5 Sept →
anubis13–20.1019%5 Sept →
nuke13–50.009%5 Sept →
dust25–13-0.0413%4 Sept →
cache5–13-0.0527%4 Sept →

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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