kaeo

kaeo — CS2 Stats

76561198006836959[U:1:46571231]Steam profile ↗✓ No bans

530Tracked matches54%Win rate2020Tracked since
1,906Hours in CS
CSDB Rating5.1 DevelopingOpening Duellist
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,684 -868 13 May – 12 Jun · 25 days played
15,35418,524peak 18,52413 May12 Jun
18,635Peak Premier in tracked matches
52Days played since 2023-09-26

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate46.1%43.8%44.8%above
Shot accuracy17.3%12.0%12.4%above
Kill/death ratio0.991.021.030.04 short
Match win rate47.1%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkaeoFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning56
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateTWLLWWTWLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +4.0pp headshot accuracy · −21ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 653ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 666ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 676ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+2 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim4.6
Utility4.3
Positioning5.6
Opening Duels5.9
Clutch0.0

Strong CT-side openerEffective 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

device

Plays most like device 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 662ms 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

Aim4.6
Positioning5.6
Utility4.3
Mechanics5.6
Opening Duels4.7
Win Impact6.2

Composite 5.1/10 (Developing), 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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time674ms+79ms
first ⅓ avg 594ms → last ⅓ avg 674ms
Headshot accuracy21.4%+1.7%
first ⅓ avg 19.7% → last ⅓ avg 21.4%

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 · 13–5 · nuke, 11 Apr →
42%Best headshot accuracy · 6–13 · anubis, 3 May →
391msFastest reaction time · 4–13 · mirage, 26 Sept →
13–2Biggest win · grail, 8 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 86% over 7trainWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoC187–1139%-0.00
mirageB179–853%0.02
nukeB147–750%0.01
ancientC146–843%0.02
dust2C125–742%0.00
trainD112–918%0.02
anubisS76–186%0.01
overpass—32–167%0.04
agency—11–0100%0.03
grail—11–0100%0.06
office—10–10%-0.06
vertigo—10–10%0.00

Across the last 100 tracked matches.

Lifetime stats

87,584Lifetime kills
0.99K/D
3,059Matches
47.1%Match win rate · Top 50% of Level 5 players
46.1%Headshot % · Top 50% of Level 5 players
17.3%Shot accuracy · Top 25% of Level 5 players
8,321MVPs
1,906Hours (in match)
4,917Bombs planted
1,121Bombs defused

Most-used weapons

AK-4729,660
AWP11,043
P2503,427
Tec-92,366
SSG 081,454

Lifetime map wins

9,778dust2
6,524inferno
2,106train
1,925nuke
1,447cbble
514vertigo
288office
37dust

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

Faceit stats

Combat

136Matches
49%Win rate
1.19Avg K/D
83.8ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%1.3320.0
Mirage10%0.6012.0

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.

22.5%Headshot accuracy
29.6%Accuracy (enemy spotted)
30.5%Spray accuracy
75.0%Counter-strafing
11.7°Preaim
662msReaction time
33.5%T opening success
64.2%CT opening success
0.71Enemies flashed / flash
11.0%Flash assists
10.06HE damage / grenade
10.21Flashes / 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. 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 33.468% — below the 40% mark we flag

Spend your practice time on Train

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke15–15-0.0115%8 Jan →
dust213–100.0134%8 Jan →
train8–13-0.0522%24 Dec →
mirage8–130.0525%18 Dec →
nuke13–110.0928%18 Dec →
overpass13–50.0735%18 Dec →
overpass15–150.0720%13 Dec →
overpass13–9-0.0337%12 Dec →
inferno7–13-0.0213%6 Dec →
dust213–100.0123%26 Nov →
mirage13–80.0619%4 Oct →
mirage13–6-0.0227%13 Aug →
anubis12–50.0216%12 Jun →
ancient13–100.0123%12 Jun →
agency13–50.0323%12 Jun →
inferno13–4-0.0417%29 May →
mirage11–13-0.0115%27 May →
dust213–7-0.0135%27 May →
inferno6–13-0.0115%27 May →
nuke8–130.0422%26 May →
dust25–130.0315%26 May →
ancient13–100.0325%26 May →
inferno14–160.0720%26 May →
mirage3–130.0029%26 May →
train11–130.1227%26 May →
inferno7–13-0.1029%26 May →
ancient5–130.0022%26 May →
train6–130.0515%25 May →
mirage13–100.0220%25 May →
nuke13–8-0.0111%22 May →
dust28–13-0.0812%22 May →
ancient13–110.049%21 May →
nuke8–13-0.038%19 May →
anubis13–8-0.0310%19 May →
nuke13–5-0.0320%18 May →
ancient15–150.0015%18 May →
mirage7–130.0535%18 May →
train13–11-0.0023%16 May →
dust213–100.0321%16 May →
inferno16–14-0.0329%15 May →
mirage13–90.0321%15 May →
mirage13–40.1336%15 May →
train6–130.0027%15 May →
dust25–13-0.0629%15 May →
ancient15–150.0217%13 May →
inferno2–30.0338%11 May →
inferno7–13-0.0224%8 May →
ancient13–60.0826%8 May →
grail13–20.0630%8 May →
inferno13–20.1129%7 May →
mirage13–70.0330%7 May →
dust214–160.0218%7 May →
ancient13–100.0123%7 May →
nuke13–30.0321%6 May →
inferno13–9-0.0420%6 May →
nuke10–130.0114%5 May →
anubis6–13-0.0542%3 May →
train4–13-0.0613%1 May →
dust213–160.0122%29 Apr →
ancient5–13-0.0333%29 Apr →
ancient6–130.015%28 Apr →
ancient5–130.0120%28 Apr →
train11–00.0925%28 Apr →
ancient10–130.1124%26 Apr →
mirage5–130.0423%24 Apr →
nuke2–13-0.0530%24 Apr →
mirage13–11-0.0118%24 Apr →
train11–130.0340%21 Apr →
inferno13–110.0316%15 Apr →
anubis13–100.0116%15 Apr →
ancient13–110.0517%11 Apr →
nuke13–50.1533%11 Apr →
inferno11–130.0420%10 Apr →
ancient4–13-0.0225%10 Apr →
dust210–13-0.0123%10 Apr →
mirage14–16-0.0813%8 Apr →
dust211–130.0018%7 Apr →
nuke3–13-0.0614%24 Mar →
train11–13-0.0215%18 Mar →
train15–15-0.0216%17 Mar →
inferno7–13-0.0128%17 Mar →
anubis13–60.0224%16 Mar →
nuke13–30.0419%16 Mar →
dust213–110.0522%14 Mar →
train15–150.0526%13 Mar →
office8–13-0.0621%3 Mar →
mirage13–90.0728%14 Aug →
inferno13–90.0616%13 May →
mirage15–150.0122%25 Mar →
anubis13–100.0220%25 Mar →
inferno10–13-0.0613%17 Mar →
inferno7–3-0.020%17 Mar →
nuke0–4-0.040%4 Feb →
mirage13–50.0528%28 Sept →
anubis13–100.0523%28 Sept →
inferno15–15-0.0114%28 Sept →
nuke13–100.0522%28 Sept →
vertigo8–130.0022%26 Sept →
mirage4–13-0.0719%26 Sept →
inferno7–13-0.0216%26 Sept →

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 →

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