KagisB

KagisB — CS2 Stats

LV76561198152377882[U:1:192112154]Steam profile ↗✓ No bans

1,040Tracked matches55%Win rate2021Tracked since
1,627Hours in CS2Hrs last 2 wks
CSDB Rating4.1 DevelopingSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

+8Tracked matches · now 1,040
+5.2ppWin rate · 50.0% → 55.2%

Rating over time

Premier CS Rating: 15,571 -901 22 Nov – 17 Jan · 10 days played
15,57117,497peak 17,49722 Nov17 Jan
17,601Peak Premier in tracked matches
51Days played since 2025-10-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches13——
Win rate62%——
K/D0.80——
Headshot %50%——

Measured 7 Sep 2026 → 4 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,649), 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 rate43.8%43.8%44.8%1.0% short
Shot accuracy17.1%12.0%12.4%above
Kill/death ratio0.771.021.030.27 short
Match win rate25.2%44.7%45.2%20.1% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGKagisBFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.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

Aim38
Positioning33
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateLWWLWLWWLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −6.6pp headshot accuracy · −39ms reaction

Win rate 0pp 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 -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 559ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 606ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 626ms

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 (+2.8 against its own average).

Aim3.8
Utility4.8
Positioning3.3
Opening Duels0.0
Clutch0.0

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 70% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 647ms 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

Aim3.8
Positioning3.3
Utility4.8
Mechanics6.2
Opening Duels0.0
Win Impact6.7

Composite 4.1/10 (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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time652ms+61ms
first ⅓ avg 591ms → last ⅓ avg 652ms
Headshot accuracy15.7%+0.6%
first ⅓ avg 15.1% → last ⅓ avg 15.7%

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

0.06Best match rating · 13–8 · nuke, 2 Nov →
50%Best headshot accuracy · 6–2 · nuke, 21 Oct →
438msFastest reaction time · 1–13 · inferno, 12 Mar →
13–0Biggest win · nuke, 24 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 67% over 18mirageWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB2413–1154%-0.02
ancientS1812–667%-0.02
infernoB137–654%-0.03
mirageC94–544%-0.03
cacheB84–450%-0.01
dust2B84–450%-0.04
vertigoB63–350%-0.02
train—42–250%-0.04
anubis—30–30%-0.02
overpass—30–30%-0.06
golden—20–20%-0.04
palacio—20–20%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,905Lifetime kills
0.77K/D
3,518Matches
25.2%Match win rate
43.8%Headshot % · Top 50% of Level 5 players
17.1%Shot accuracy · Top 25% of Level 5 players
5,004MVPs
1,513Hours (in match)
2,856Bombs planted
421Bombs defused

Most-used weapons

AK-4719,980
AWP8,404
P901,784
AUG1,626
P2501,498

Lifetime map wins

3,455inferno
2,107nuke
1,990dust2
843vertigo
499train
98cbble
75office
26bank

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

Faceit stats

Combat

74Matches
55%Win rate
0.77Avg K/D
57.1ADR
41%Headshot %

Clutches & streaks

12%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient2756%0.8011.7
Nuke1464%0.7911.5
Anubis1060%0.7412.0
Inferno1050%0.719.8
Vertigo743%0.828.7
Dust2367%0.7711.7
Mirage250%0.7814.0

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.

15.6%Headshot accuracy
26.1%Accuracy (enemy spotted)
30.1%Spray accuracy
77.8%Counter-strafing
10.7°Preaim
647msReaction time
25.1%T opening success
18.5%CT opening success
0.52Enemies flashed / flash
4.5%Flash assists
8.06HE damage / grenade
8.20Flashes / 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 25.0569% — 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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–13-0.0611%30 Sept →
nuke13–30.0311%30 Sept →
ancient13–9-0.0315%17 Sept →
nuke3–13-0.0916%17 Sept →
nuke13–110.0213%16 Sept →
nuke9–13-0.088%16 Sept →
nuke13–5-0.0527%9 Sept →
ancient13–8-0.0711%9 Sept →
inferno4–130.026%6 Sept →
inferno13–4-0.0419%2 Sept →
vertigo9–13-0.0733%25 Aug →
cache2–130.0020%25 Aug →
nuke13–1-0.0220%22 Aug →
cache13–10-0.0115%22 Aug →
dust212–12-0.0518%23 Jul →
cache13–70.0331%23 Jul →
ancient13–8-0.0512%9 Jul →
cache10–130.0417%9 Jul →
cache13–10-0.027%9 Jul →
nuke13–8-0.0329%7 Jul →
dust213–20.008%7 Jul →
ancient5–13-0.0913%6 Jul →
cache7–13-0.0614%5 Jul →
cache13–8-0.0524%5 Jul →
ancient9–13-0.049%5 Jul →
anubis2–13-0.0016%11 Jun →
inferno13–10-0.0412%11 Jun →
mirage4–13-0.0411%3 Jun →
mirage6–13-0.0615%25 May →
ancient13–7-0.045%25 May →
dust213–10-0.0419%7 May →
inferno13–5-0.0115%5 May →
cache8–13-0.0416%3 May →
ancient15–15-0.0711%28 Apr →
mirage8–13-0.093%28 Apr →
ancient13–90.0514%26 Apr →
nuke11–13-0.069%26 Apr →
anubis5–13-0.0115%26 Apr →
ancient13–50.0611%24 Apr →
nuke13–70.0211%24 Apr →
ancient8–13-0.0212%20 Mar →
nuke13–9-0.0015%14 Mar →
ancient11–13-0.0418%14 Mar →
vertigo10–13-0.0313%12 Mar →
inferno1–13-0.1111%12 Mar →
ancient13–7-0.0412%7 Mar →
inferno1–10-0.0622%7 Mar →
overpass4–13-0.0714%4 Mar →
dust28–13-0.067%4 Mar →
inferno3–13-0.0610%17 Jan →
inferno13–11-0.0513%12 Jan →
nuke11–13-0.017%11 Jan →
overpass6–13-0.0614%11 Jan →
mirage16–12-0.029%11 Jan →
nuke5–13-0.1019%5 Jan →
ancient11–13-0.0110%4 Jan →
dust213–90.0518%3 Jan →
mirage13–70.0426%3 Jan →
mirage8–13-0.0613%1 Jan →
nuke10–130.025%1 Jan →
train6–13-0.0322%21 Dec →
nuke5–13-0.1214%19 Dec →
ancient13–110.0113%19 Dec →
mirage13–10.018%10 Dec →
mirage13–30.0224%10 Dec →
nuke13–50.0322%10 Dec →
ancient13–20.0127%1 Dec →
inferno15–15-0.0516%1 Dec →
inferno7–13-0.0019%22 Nov →
dust213–9-0.0617%22 Nov →
inferno13–10-0.049%5 Nov →
mirage6–13-0.0810%5 Nov →
nuke6–13-0.0413%3 Nov →
nuke0–2-0.090%3 Nov →
overpass11–13-0.0419%2 Nov →
vertigo3–13-0.0716%2 Nov →
nuke13–80.0616%2 Nov →
inferno13–90.0210%1 Nov →
golden12–12-0.076%27 Oct →
vertigo13–3-0.0411%27 Oct →
ancient13–30.0422%27 Oct →
train5–13-0.054%26 Oct →
ancient13–11-0.0216%25 Oct →
dust212–12-0.0514%25 Oct →
nuke10–13-0.069%25 Oct →
nuke13–00.0522%24 Oct →
vertigo13–100.0220%24 Oct →
ancient13–50.0319%24 Oct →
nuke13–30.0417%23 Oct →
palacio12–120.0117%23 Oct →
train13–9-0.078%23 Oct →
vertigo13–20.0530%23 Oct →
anubis12–12-0.0610%21 Oct →
nuke6–2-0.0550%21 Oct →
train13–7-0.0122%19 Oct →
golden7–13-0.0122%19 Oct →
nuke13–30.069%19 Oct →
inferno13–8-0.0110%19 Oct →
palacio10–130.0414%18 Oct →
dust25–13-0.090%18 Oct →

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.