core.bee ;>

core.bee ;> — CS2 Stats

DE76561197993317812[U:1:33052084]Steam profile ↗✓ No bans

2,228Tracked matches58%Win rate2020Tracked since
5,246Hours in CS9Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating27,948Top 5% of 212,695 CSDB-tracked playersRed band · top ~1.6% of ranked players (population est.)
CSDB Leaderboard#2956 of 259554 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (9 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: 27,948 +2,094 8 Aug – 24 Oct · 30 days played
25,81128,190peak 28,1908 Aug24 Oct
28,190Peak Premier in tracked matches
32Days played since 2026-08-08

Premier CS Rating

  • 242 below peak (28,190)
  • +1,026 over 30 days · improving
  • +2,094 over 90 days
  • Next: Gold band at 30,000 — 2,052 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-31
  • Pink band first seen 2026-08-31

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate41.9%50.9%
Shot accuracy16.2%13.7%
Kill/death ratio1.611.09
Match win rate47.6%48.4%

Share this profile

CSDB.GGcore.bee ;>FACEITLevel 10STANDINGTop 12.4% of rankedPREMIER27,948 · Red bandcsdb.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

Aim77
Positioning54
Utility48

0–100 skill scores via Leetify.

Recent form

COLD52–40–8Last 10052%Win rateWWLWTLLTLT

Last 10 vs previous 10: −50pp win rate · +0.00 avg rating · −0.1pp headshot accuracy · +28ms reaction

Win rate down 50pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 585ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 584ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 570ms

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 (+1.5 against its own average).

Aim7.7
Utility4.8
Positioning5.4
Opening Duels0.7
Clutch4.8

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

b1t

Plays most like b1t 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 569ms 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

Aim7.7
Positioning5.4
Utility4.8
Mechanics6.1
Opening Duels3.3
Win Impact7.6

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time574ms−5ms
first ⅓ avg 579ms → last ⅓ avg 574ms
Headshot accuracy19.7%+1.0%
first ⅓ avg 18.7% → last ⅓ avg 19.7%

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

0.10Best match rating · 13–6 · nuke, 22 Oct →
35%Best headshot accuracy · 10–13 · ancient, 24 Oct →
406msFastest reaction time · 5–13 · inferno, 28 Aug →
13–2Biggest win · mirage, 10 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
13–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 67% over 6dust2Weakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA2414–1058%0.01
cacheB2210–1245%0.00
dust2C177–1041%-0.03
ancientB126–650%0.00
mirageB115–645%0.00
nukeS64–267%0.01
anubisA53–260%-0.01
vertigo—22–0100%0.01
train—11–0100%0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

189,818Lifetime kills
1.61K/D · Top 5% of Level 10 players
6,577Matches
47.6%Match win rate
41.9%Headshot %
16.2%Shot accuracy · Top 50% of Level 10 players
16,675MVPs
3,022Hours (in match)
9,867Bombs planted
2,049Bombs defused

Most-used weapons

AK-4758,269
AWP11,279
P2507,651
FAMAS5,195
MAC-104,340

Lifetime map wins

18,705inferno
4,945dust2
4,206nuke
1,752vertigo
1,646cbble
1,149train
334office
194aztec

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

Faceit stats

Combat

675Matches
53%Win rate
1.16Avg K/D
76.4ADR
40%Headshot %

Clutches & streaks

44%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno5349%1.1315.7
Ancient5159%1.1016.5
Anubis3855%1.2216.7
Mirage3876%1.2516.2
Dust22638%0.9416.0
Cache2259%1.2915.3
Nuke1856%1.0115.6
Vertigo1759%1.0916.3

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.

19.2%Headshot accuracy
37.7%Accuracy (enemy spotted)
40.2%Spray accuracy
77.3%Counter-strafing
9.8°Preaim
569msReaction time
49.6%T opening success
37.1%CT opening success
0.50Enemies flashed / flash
5.6%Flash assists
10.43HE damage / grenade
5.23Flashes / 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 37.1245% — below the 40% mark we flag

Spend your practice time on Dust 2

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.0132%2 Nov →
vertigo13–4-0.0323%2 Nov →
inferno6–130.0320%2 Nov →
cache13–50.0118%2 Nov →
ancient12–12-0.0129%2 Nov →
ancient10–130.0135%24 Oct →
inferno8–130.0113%24 Oct →
inferno12–120.0215%24 Oct →
cache4–13-0.024%24 Oct →
cache15–15-0.0120%24 Oct →
nuke13–60.1027%22 Oct →
cache5–130.0121%22 Oct →
inferno13–9-0.0419%22 Oct →
nuke13–50.0819%17 Oct →
cache13–60.0122%10 Oct →
cache13–80.0012%10 Oct →
anubis13–9-0.0628%10 Oct →
mirage13–11-0.0520%10 Oct →
mirage13–20.0320%10 Oct →
inferno6–13-0.0722%2 Oct →
nuke6–13-0.0414%2 Oct →
cache15–150.0712%2 Oct →
inferno13–11-0.0216%2 Oct →
dust24–13-0.1010%2 Oct →
cache13–60.0413%24 Sept →
mirage7–13-0.0013%24 Sept →
inferno13–70.0528%23 Sept →
cache3–13-0.0315%23 Sept →
mirage2–130.0718%23 Sept →
ancient13–30.0116%15 Sept →
dust27–13-0.1221%15 Sept →
mirage6–00.0022%15 Sept →
ancient8–2-0.0035%15 Sept →
dust21–13-0.0622%14 Sept →
cache7–13-0.0518%14 Sept →
nuke13–20.0225%14 Sept →
inferno13–110.0612%13 Sept →
cache10–13-0.0619%13 Sept →
dust213–30.007%11 Sept →
dust22–130.007%10 Sept →
mirage13–90.0323%10 Sept →
inferno13–90.0811%10 Sept →
ancient9–130.0119%10 Sept →
cache13–90.0115%5 Sept →
inferno13–110.0212%4 Sept →
inferno13–110.0425%4 Sept →
anubis3–13-0.039%4 Sept →
train13–70.0925%4 Sept →
mirage11–13-0.0622%4 Sept →
anubis6–130.0215%3 Sept →
cache13–50.0121%31 Aug →
inferno13–100.037%31 Aug →
anubis13–110.0013%31 Aug →
dust213–90.019%31 Aug →
ancient10–130.0918%31 Aug →
inferno5–13-0.0524%28 Aug →
nuke8–13-0.0215%27 Aug →
ancient16–130.0115%27 Aug →
cache8–13-0.0215%27 Aug →
dust29–13-0.0419%27 Aug →
dust213–11-0.0322%26 Aug →
cache13–2-0.0212%26 Aug →
inferno9–130.0227%26 Aug →
inferno13–30.0525%26 Aug →
dust211–13-0.0213%26 Aug →
inferno13–60.0720%26 Aug →
cache11–130.0316%25 Aug →
cache12–120.0031%25 Aug →
dust213–50.0124%25 Aug →
cache13–9-0.0127%25 Aug →
ancient13–20.0822%22 Aug →
cache15–150.0119%21 Aug →
ancient5–13-0.0316%21 Aug →
dust216–14-0.079%21 Aug →
dust24–13-0.0216%21 Aug →
inferno13–7-0.033%20 Aug →
cache13–11-0.0126%19 Aug →
dust213–90.0220%19 Aug →
mirage13–8-0.0128%18 Aug →
inferno9–130.0125%18 Aug →
inferno1–13-0.0621%14 Aug →
mirage12–120.0616%14 Aug →
anubis13–110.0421%14 Aug →
cache16–130.0110%14 Aug →
inferno16–14-0.0215%14 Aug →
dust211–13-0.0130%14 Aug →
dust214–160.0222%13 Aug →
inferno9–13-0.0318%13 Aug →
inferno13–9-0.0112%13 Aug →
dust210–13-0.0616%12 Aug →
ancient9–13-0.0618%12 Aug →
nuke9–6-0.0729%12 Aug →
inferno13–3-0.0013%12 Aug →
ancient13–11-0.0821%11 Aug →
dust213–11-0.0320%11 Aug →
vertigo13–60.048%10 Aug →
cache12–120.0223%10 Aug →
mirage7–13-0.0610%10 Aug →
inferno6–130.0117%8 Aug →
mirage4–13-0.0013%8 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.