killabee

killabee — CS2 Stats

76561197963269154[U:1:3003426]Steam profile ↗✓ No bans

522Tracked matches43%Win rate2020Tracked since
CSDB Rating4.0 DevelopingPositional Player
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (37 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,592 → 1,592
+2Tracked matches · now 522
−3.3ppWin rate · 46.7% → 43.3%

Rating over time

Premier CS Rating: 17,757 +204 4 Dec – 5 Jan · 10 days played
17,55319,824peak 19,8244 Dec5 Jan
19,999Peak Premier in tracked matches
1,592Highest Faceit ELO seen on CSDB
50Days played since 2025-09-28

Faceit ELO

  • At peak — 1,592
  • Next: Level 9 at 1,751 — 159 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-06
  • Level 7 first seen 2026-09-06

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.

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CSDB.GGkillabeePEAK ELO1,592csdb.gg/stats

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Performance scores

Aim51
Positioning55
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateLLLWLLLWWW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −5.2pp headshot accuracy · −61ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 511ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 547ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 577ms

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 against its own average).

Aim5.1
Utility3.7
Positioning5.5
Opening Duels2.2
Clutch2.6

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

NiKo

Plays most like NiKo 82% 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. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.1
Positioning5.5
Utility3.7
Mechanics3.9
Opening Duels2.0
Win Impact2.8

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time587ms−47ms
first ⅓ avg 634ms → last ⅓ avg 587ms
Headshot accuracy16.7%+1.3%
first ⅓ avg 15.4% → last ⅓ avg 16.7%

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

0.19Best match rating · 13–6 · nuke, 16 Nov →
31%Best headshot accuracy · 13–6 · overpass, 19 May →
422msFastest reaction time · 11–13 · ancient, 6 Sept →
13–0Biggest win · nuke, 24 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
7–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 57% over 21mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA2112–957%0.00
ancientC188–1044%-0.03
overpassB179–853%0.01
infernoD133–1023%-0.02
dust2D113–827%-0.03
anubisD72–529%-0.01
trainD62–433%-0.02
mirageD61–517%0.00
cache—10–10%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

537Matches
51%Win rate
0.94Avg K/D
70.1ADR
43%Headshot %

Clutches & streaks

33%1v1 clutch win
15%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke5064%0.9914.9
Ancient4757%0.8613.2
Inferno4344%0.9112.7
Anubis3244%0.8313.1
Dust22446%0.7912.1
Overpass1464%1.1416.4
Train944%0.8612.0
Mirage714%0.8613.9

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.

16.3%Headshot accuracy
31.9%Accuracy (enemy spotted)
36.6%Spray accuracy
67.7%Counter-strafing
10.4°Preaim
595msReaction time
41.8%T opening success
34.0%CT opening success
0.44Enemies flashed / flash
2.7%Flash assists
10.37HE damage / grenade
2.81Flashes / 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 0.4441 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 34.0488% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke0–6-0.0529%8 Sept →
ancient11–13-0.047%6 Sept →
dust24–13-0.1015%4 Sept →
ancient13–8-0.0213%4 Sept →
cache10–130.0321%30 Aug →
nuke2–13-0.0513%27 Aug →
nuke1–13-0.0512%24 Aug →
overpass13–2-0.0525%29 May →
nuke13–5-0.037%29 May →
ancient13–70.007%29 May →
inferno13–80.0217%19 May →
overpass13–60.0531%19 May →
nuke13–20.0023%19 May →
dust213–90.0218%12 May →
nuke6–13-0.0513%12 May →
ancient8–13-0.0614%12 May →
inferno16–14-0.0114%12 Mar →
nuke11–13-0.0429%10 Mar →
dust28–13-0.0322%10 Mar →
nuke13–70.0218%4 Mar →
dust213–4-0.0125%4 Mar →
anubis14–16-0.0411%11 Jan →
nuke13–11-0.0213%11 Jan →
ancient10–13-0.027%11 Jan →
inferno3–13-0.0424%11 Jan →
dust210–13-0.0014%11 Jan →
train3–13-0.0223%5 Jan →
nuke13–40.0219%5 Jan →
nuke11–13-0.0312%4 Jan →
inferno6–13-0.0515%4 Jan →
dust213–6-0.0413%2 Jan →
mirage5–130.0218%2 Jan →
ancient2–13-0.0212%28 Dec →
nuke4–130.0119%28 Dec →
ancient3–13-0.0418%28 Dec →
nuke1–110.0210%28 Dec →
ancient4–13-0.087%28 Dec →
ancient12–12-0.0523%28 Dec →
ancient14–16-0.066%22 Dec →
ancient13–11-0.0016%22 Dec →
overpass12–50.0430%22 Dec →
overpass8–130.0211%22 Dec →
ancient16–12-0.0019%15 Dec →
mirage13–10-0.0110%15 Dec →
anubis7–13-0.0116%15 Dec →
anubis12–12-0.0114%15 Dec →
ancient13–80.0322%11 Dec →
overpass13–90.0114%10 Dec →
inferno10–130.0023%9 Dec →
overpass10–13-0.0418%9 Dec →
inferno13–16-0.0512%8 Dec →
dust25–13-0.070%8 Dec →
train9–13-0.0522%8 Dec →
inferno4–13-0.0224%7 Dec →
nuke13–90.0319%7 Dec →
mirage8–13-0.0213%7 Dec →
train13–110.0014%6 Dec →
nuke13–110.0112%6 Dec →
nuke16–13-0.0111%6 Dec →
mirage7–13-0.0317%6 Dec →
ancient15–15-0.0512%4 Dec →
overpass13–20.0820%4 Dec →
dust210–13-0.0315%3 Dec →
ancient13–7-0.0124%2 Dec →
inferno4–13-0.0717%2 Dec →
overpass10–13-0.019%1 Dec →
mirage8–130.0017%30 Nov →
overpass0–13-0.0819%25 Nov →
nuke6–13-0.0611%25 Nov →
ancient12–12-0.0320%25 Nov →
anubis0–5-0.000%25 Nov →
overpass13–5-0.0211%24 Nov →
nuke13–00.0714%24 Nov →
overpass12–120.0515%24 Nov →
overpass13–50.0313%20 Nov →
anubis13–9-0.0210%17 Nov →
nuke13–40.0512%17 Nov →
nuke13–60.1919%16 Nov →
train6–130.0123%16 Nov →
overpass13–100.0313%16 Nov →
dust26–130.0215%12 Nov →
inferno10–13-0.0215%12 Nov →
inferno13–110.0719%11 Nov →
anubis13–110.0321%9 Nov →
train13–80.0415%9 Nov →
train4–13-0.1019%5 Nov →
inferno9–130.0114%5 Nov →
mirage7–130.0513%4 Nov →
overpass10–13-0.0316%3 Nov →
anubis8–13-0.0412%2 Nov →
dust29–13-0.0629%26 Oct →
overpass13–100.0112%21 Oct →
ancient13–9-0.0217%18 Oct →
ancient16–12-0.0313%6 Oct →
inferno5–13-0.076%6 Oct →
inferno11–13-0.0020%5 Oct →
nuke13–30.0226%2 Oct →
dust22–13-0.0512%29 Sept →
overpass12–120.0015%28 Sept →
overpass12–120.0221%28 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 →

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