⸸Kago |

⸸Kago | — CS2 Stats

DE76561197976787634[U:1:16521906]Steam profile ↗✓ No bans

5,066Tracked matches57%Win rate2020Tracked since
11,690Hours in CS
CSDB Rating5.4 DevelopingSupport
Premier CS Rating15,312Purple band · top ~27.2% of ranked players (population est.)
FaceitLevel 4 · 1,216 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (3 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: 15,312 -187 1 Sept – 27 Oct · 22 days played
14,66516,802peak 16,8021 Sept27 Oct
Faceit ELO: 1,216 +0 1 Sept – 15 Sept · 4 observations
1,2161,216peak 1,2161 Sept15 Sept
17,092Peak Premier in tracked matches
1,216Highest Faceit ELO seen on CSDB
32Days played since 2026-09-01

Faceit ELO

  • At peak — 1,216
  • Next: Level 7 at 1,351 — 135 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-01
  • Level 5 first seen 2026-09-01

Premier CS Rating

  • 1,490 below peak (16,802)
  • +312 over 30 days · steady
  • Next: Pink band at 20,000 — 4,688 to go
  • Reached: 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate60.2%42.7%43.8%above
Shot accuracy15.1%11.2%12.0%above
Kill/death ratio0.890.991.020.13 short
Match win rate36.6%43.9%44.7%8.1% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG⸸Kago |FACEITLevel 4 · 1,216 ELOSTANDINGTop 81.0% of rankedPREMIER15,312 · Purple bandPEAK ELO1,216csdb.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

Aim63
Positioning41
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47–44–9Last 10047%Win rateLWWWTWLLLL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · +3.5pp headshot accuracy · +3ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 584ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 563ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 561ms

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 (+1.9 against its own average).

Aim6.3
Utility5.2
Positioning4.1
Opening Duels1.0
Clutch2.8

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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 555ms 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

Aim6.3
Positioning4.1
Utility5.2
Mechanics6.3
Opening Duels2.6
Win Impact7.4

Composite 5.4/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time551ms−21ms
first ⅓ avg 573ms → last ⅓ avg 551ms
Headshot accuracy16.0%−2.0%
first ⅓ avg 18.0% → last ⅓ avg 16.0%

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 · 13–3 · ancient, 8 Oct →
37%Best headshot accuracy · 8–13 · office, 28 Sept →
383msFastest reaction time · 13–3 · anubis, 21 Oct →
13–1Biggest win · cache, 10 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–2In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 64% over 11mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A4226–1662%-0.00
ancientB136–746%-0.02
infernoD123–925%-0.02
nukeA117–464%-0.00
mirageD71–614%-0.05
anubisD71–614%-0.00
cacheD62–433%-0.02
vertigo—11–0100%-0.01
office—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

373,223Lifetime kills
0.89K/D
14,967Matches
36.6%Match win rate
60.2%Headshot % · Top 5% of Level 4 players
15.1%Shot accuracy · Top 50% of Level 4 players
30,465MVPs
11,690Hours (in match)
10,919Bombs planted
2,687Bombs defused

Most-used weapons

AK-47127,142
AWP31,272
Glock-1816,310
SSG 0816,158
P2508,813
FAMAS8,254
MAC-106,995

Lifetime map wins

29,569dust2
28,803inferno
18,112nuke
5,040vertigo
3,236train
1,511cbble
1,106office
272italy

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

Faceit stats

Combat

1,470Matches
50%Win rate
0.95Avg K/D
72.2ADR
45%Headshot %

Clutches & streaks

34%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno16251%0.8413.2
Dust212854%0.9814.8
Anubis11148%0.8714.2
Ancient6629%0.8014.1
Nuke5347%0.9213.7
Mirage2552%0.8213.1
Overpass1650%0.9113.4
Vertigo1650%0.9014.4

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.

15.8%Headshot accuracy
34.1%Accuracy (enemy spotted)
31.8%Spray accuracy
78.4%Counter-strafing
10.2°Preaim
555msReaction time
48.0%T opening success
33.0%CT opening success
0.51Enemies flashed / flash
6.0%Flash assists
7.93HE damage / grenade
8.86Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.0303% — 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.

14% 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
mirage3–13-0.0633%30 Oct →
dust213–40.0122%29 Oct →
ancient13–5-0.0225%29 Oct →
vertigo13–2-0.0112%29 Oct →
inferno12–12-0.029%29 Oct →
cache13–80.0214%28 Oct →
ancient10–13-0.033%27 Oct →
dust27–130.0616%26 Oct →
dust22–13-0.0218%26 Oct →
mirage8–13-0.0612%26 Oct →
cache12–16-0.079%26 Oct →
ancient13–16-0.0711%25 Oct →
nuke13–11-0.0328%25 Oct →
cache4–13-0.0714%24 Oct →
dust212–12-0.059%24 Oct →
dust213–6-0.037%24 Oct →
dust213–11-0.056%23 Oct →
dust213–3-0.0818%23 Oct →
ancient10–13-0.0410%21 Oct →
anubis13–3-0.0217%21 Oct →
dust213–11-0.0325%20 Oct →
dust213–60.0230%19 Oct →
dust213–110.0621%19 Oct →
dust28–13-0.0325%19 Oct →
dust210–13-0.046%18 Oct →
dust213–70.0614%18 Oct →
anubis7–13-0.0021%18 Oct →
dust213–8-0.0612%18 Oct →
inferno13–6-0.0331%17 Oct →
ancient13–20.009%17 Oct →
nuke13–100.013%17 Oct →
dust213–60.0325%17 Oct →
dust211–13-0.0414%16 Oct →
mirage6–13-0.0624%15 Oct →
nuke13–40.0214%15 Oct →
anubis12–12-0.0013%15 Oct →
dust212–120.0325%15 Oct →
nuke13–11-0.0118%15 Oct →
anubis10–130.0814%15 Oct →
inferno6–13-0.089%14 Oct →
nuke7–13-0.0617%13 Oct →
dust26–13-0.0710%13 Oct →
cache5–13-0.0615%13 Oct →
dust213–9-0.0022%13 Oct →
dust24–13-0.0320%13 Oct →
dust213–50.1021%12 Oct →
dust213–90.0218%12 Oct →
dust213–3-0.017%12 Oct →
ancient13–10-0.0011%11 Oct →
inferno13–11-0.0617%11 Oct →
nuke8–130.0414%11 Oct →
nuke13–9-0.0510%11 Oct →
dust28–13-0.0415%10 Oct →
dust212–120.0317%10 Oct →
dust213–70.0014%10 Oct →
inferno8–13-0.0221%10 Oct →
dust212–12-0.0221%10 Oct →
dust212–120.0317%10 Oct →
inferno8–13-0.118%10 Oct →
cache13–10.0824%10 Oct →
nuke13–6-0.015%9 Oct →
dust25–13-0.0414%9 Oct →
ancient4–13-0.0611%9 Oct →
mirage5–13-0.0315%9 Oct →
mirage13–5-0.0616%9 Oct →
mirage5–13-0.0418%8 Oct →
ancient13–30.1416%8 Oct →
ancient13–8-0.0518%8 Oct →
dust213–6-0.0116%7 Oct →
dust213–60.0218%7 Oct →
ancient6–13-0.047%7 Oct →
dust213–100.0418%7 Oct →
dust27–13-0.0618%7 Oct →
dust213–3-0.0121%7 Oct →
dust213–8-0.019%7 Oct →
ancient13–20.008%7 Oct →
inferno14–16-0.018%7 Oct →
cache7–13-0.0219%4 Oct →
nuke10–13-0.0123%4 Oct →
inferno7–13-0.0327%4 Oct →
dust213–50.0226%3 Oct →
inferno10–130.0433%3 Oct →
dust213–50.0417%3 Oct →
anubis5–13-0.0228%3 Oct →
dust213–90.0817%3 Oct →
anubis9–13-0.0520%1 Oct →
ancient9–130.0614%1 Oct →
ancient7–13-0.0911%29 Sept →
anubis4–130.0018%29 Sept →
dust213–7-0.0119%29 Sept →
office8–13-0.0237%28 Sept →
inferno6–130.0120%27 Sept →
nuke13–60.0318%27 Sept →
dust212–12-0.0620%27 Sept →
nuke15–150.0515%27 Sept →
mirage10–13-0.055%24 Sept →
inferno13–110.0516%24 Sept →
dust213–8-0.0315%24 Sept →
inferno8–13-0.0615%22 Sept →
dust213–11-0.0220%21 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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