Kilbz

Kilbz — CS2 Stats

76561198395461103[U:1:435195375]Steam profile ↗✓ No bans

876Tracked matches58%Win rate2021Tracked since
1,167Hours in CS11Hrs last 2 wks
CSDB Rating4.1 DevelopingPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

+37Tracked matches · now 876
+30.8ppWin rate · 26.9% → 57.7%

Rating over time

37Days played since 2026-07-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim58
Positioning37
Utility7

0–100 skill scores via Leetify.

Recent form

STEADY37–50–13Last 10037%Win rateLWWLWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +4.6pp headshot accuracy · +18ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 639ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 598ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 589ms

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 (+2.2 against its own average).

Aim5.8
Utility0.7
Positioning3.7
Opening Duels0.0

Limited utility dependence

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

sh1ro

Plays most like sh1ro 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 594ms 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

Aim5.8
Positioning3.7
Utility0.7
Mechanics5.0
Opening Duels0.0
Win Impact7.6

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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time591ms−8ms
first ⅓ avg 599ms → last ⅓ avg 591ms
Headshot accuracy12.7%−0.0%
first ⅓ avg 12.7% → last ⅓ avg 12.7%

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

0.31Best match rating · 9–2 · inferno, 1 Oct →
33%Best headshot accuracy · 9–13 · mirage, 20 Sept →
328msFastest reaction time · 0–9 · inferno, 11 Oct →
13–2Biggest win · cache, 26 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
7–6In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD257–1828%-0.02
vertigoB209–1145%-0.04
cacheB157–847%-0.05
mirageC145–936%-0.04
ancientD61–517%-0.03
officeC52–340%-0.04
anubisA53–260%0.02
overpass—32–167%-0.04
nuke—21–150%-0.03
train—20–20%-0.04
shelter—10–10%-0.06
italy—10–10%-0.04
boulder—10–10%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

29,795Lifetime kills
0.69K/D
2,288Matches
33.3%Match win rate
36.8%Headshot %
9.7%Shot accuracy
3,853MVPs
638Hours (in match)
1,936Bombs planted
234Bombs defused

Most-used weapons

Lifetime map wins

2,756inferno
1,443dust2
1,156vertigo
1,031nuke
436train
290office
86cbble
43lake

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

Faceit stats

Combat

2Matches
0%Win rate
0.37Avg K/D
—ADR
45%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

13.2%Headshot accuracy
35.2%Accuracy (enemy spotted)
37.0%Spray accuracy
72.4%Counter-strafing
9.8°Preaim
594msReaction time
21.8%T opening success
27.1%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
7.91HE damage / grenade
0.07Flashes / 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 13.2049% — below the 15% mark we flag

    Aim Training →
  2. 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 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 21.7928% — below the 40% mark we flag

Spend your practice time on Ancient

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
office8–130.0213%28 Oct →
office13–40.0115%28 Oct →
mirage13–3-0.0314%28 Oct →
inferno2–9-0.0620%28 Oct →
vertigo13–60.019%27 Oct →
nuke13–110.0216%27 Oct →
inferno2–9-0.0323%27 Oct →
anubis13–6-0.0518%26 Oct →
cache13–2-0.0217%26 Oct →
inferno3–9-0.077%25 Oct →
mirage9–13-0.0719%25 Oct →
cache12–12-0.038%24 Oct →
cache11–13-0.0911%24 Oct →
inferno5–9-0.058%24 Oct →
cache13–11-0.0316%16 Oct →
vertigo13–60.0415%14 Oct →
cache2–13-0.078%14 Oct →
inferno9–70.019%14 Oct →
cache13–10-0.070%13 Oct →
cache6–13-0.0412%13 Oct →
cache13–9-0.0815%11 Oct →
inferno5–13-0.097%11 Oct →
inferno8–8-0.0122%11 Oct →
vertigo8–4-0.0314%11 Oct →
inferno8–8-0.023%11 Oct →
inferno0–9-0.1713%11 Oct →
vertigo12–12-0.0810%6 Oct →
ancient8–13-0.0418%6 Oct →
cache13–60.029%5 Oct →
mirage12–12-0.0116%4 Oct →
vertigo12–12-0.0410%1 Oct →
office13–11-0.0113%1 Oct →
inferno9–20.3112%1 Oct →
mirage7–13-0.0714%25 Sept →
vertigo13–7-0.0911%24 Sept →
mirage13–7-0.0710%20 Sept →
mirage9–13-0.0233%20 Sept →
inferno5–9-0.0812%17 Sept →
ancient6–13-0.099%17 Sept →
cache5–13-0.0815%17 Sept →
vertigo10–13-0.0612%17 Sept →
inferno9–7-0.0127%17 Sept →
ancient9–13-0.056%14 Sept →
anubis4–00.0818%14 Sept →
inferno5–9-0.1433%9 Sept →
vertigo2–9-0.0911%9 Sept →
shelter9–13-0.0614%9 Sept →
office7–13-0.0711%9 Sept →
ancient10–13-0.089%9 Sept →
inferno7–9-0.0110%9 Sept →
vertigo12–12-0.0315%6 Sept →
overpass12–12-0.0724%6 Sept →
inferno9–30.0610%6 Sept →
mirage13–3-0.0017%6 Sept →
cache8–13-0.0119%5 Sept →
vertigo13–80.0210%4 Sept →
vertigo12–12-0.0111%26 Aug →
mirage11–13-0.0210%26 Aug →
anubis12–120.0015%22 Aug →
vertigo11–13-0.0431%20 Aug →
vertigo8–13-0.0812%20 Aug →
inferno5–9-0.0129%20 Aug →
vertigo13–10-0.0111%19 Aug →
mirage13–6-0.077%19 Aug →
nuke1–13-0.0821%19 Aug →
inferno11–13-0.0310%19 Aug →
cache7–13-0.078%19 Aug →
overpass13–90.0410%14 Aug →
vertigo13–8-0.0417%14 Aug →
train1–13-0.054%14 Aug →
train4–13-0.026%14 Aug →
cache6–13-0.0811%13 Aug →
anubis7–13-0.042%13 Aug →
ancient7–13-0.0915%10 Aug →
office2–13-0.1315%10 Aug →
inferno3–9-0.064%10 Aug →
mirage10–13-0.0418%9 Aug →
vertigo1–13-0.0216%5 Aug →
cache13–5-0.0219%5 Aug →
inferno4–9-0.184%5 Aug →
overpass13–10-0.0918%4 Aug →
vertigo12–12-0.0912%4 Aug →
italy12–12-0.045%2 Aug →
vertigo13–7-0.0112%2 Aug →
inferno7–13-0.0616%2 Aug →
vertigo13–2-0.0316%31 Jul →
inferno7–9-0.0314%31 Jul →
inferno5–90.0926%31 Jul →
cache13–7-0.0520%30 Jul →
ancient13–40.1925%30 Jul →
anubis13–70.1017%30 Jul →
boulder10–13-0.055%29 Jul →
vertigo12–12-0.0515%29 Jul →
mirage8–13-0.0210%29 Jul →
mirage8–13-0.0616%29 Jul →
inferno9–60.1411%29 Jul →
mirage8–13-0.039%28 Jul →
inferno9–70.0210%28 Jul →
inferno9–7-0.0013%28 Jul →
mirage13–3-0.0111%28 Jul →

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.