geeB

geeB — CS2 Stats

KP76561198047230760[U:1:86965032]Steam profile ↗✓ No bans

536Tracked matches46%Win rate2020Tracked since
CSDB Rating6.1 SolidPositional Player
Premier CS Rating19,558Top 50% of 175,286 CSDB-tracked playersPurple band · top ~10.3% of ranked players (population est.)
CSDB Leaderboard#79696 of 220441 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

+18Premier CS Rating · 19,540 → 19,558
+5Tracked matches · now 536
−3.8ppWin rate · 50.0% → 46.2%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 12 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,558 +1,095 17 Aug17 Sept · 7 days played
18,46319,558peak 19,55817 Aug17 Sept
Faceit ELO: 1,177 +0 3 Sept9 Sept · 2 observations
1,1771,177peak 1,1773 Sept9 Sept
19,914Peak Premier in tracked matches
1,177Highest Faceit ELO seen on CSDB
46Days played since 2025-08-12

Premier CS Rating

  • At peak — 19,558
  • +394 over 30 days · steady
  • Next: Pink band at 20,000 442 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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.

Share this profile

CSDB.GGgeeBFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,558 · Purple bandPEAK ELO1,177csdb.gg/stats

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Performance scores

Aim82
Positioning65
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY44488Last 10044%Win rateLWLLWLWLWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +1.5pp headshot accuracy · +5ms 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

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 519ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 550ms

Last 20

  • 983 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 548ms

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 PlayerPositioning stands above the rest of this profile (+2.2 against its own average).

Aim8.2
Utility4.2
Positioning6.5
Opening Duels4.5
Clutch2.0

Strong CT-side opener

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

s1mple

Plays most like s1mple 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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

T-side openings. Opening success drops from 60% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.2
Positioning6.5
Utility4.2
Mechanics6.5
Opening Duels3.7
Win Impact3.7

Composite 6.1/10 (Solid), 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 rating0.02+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time564ms−89ms
first ⅓ avg 653ms → last ⅓ avg 564ms
Headshot accuracy18.8%+0.0%
first ⅓ avg 18.8% → last ⅓ avg 18.8%

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

0.17Best match rating · 13–7 · dust2, 3 Sept
36%Best headshot accuracy · 13–10 · train, 4 Jan
391msFastest reaction time · 10–13 · cache, 16 Aug
13–1Biggest win · nuke, 13 Jun

Across the last 100 tracked matches.

Highlights

5Longest win streak
76In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 57% over 7ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
cacheC1881044%0.01
mirageC167944%0.03
ancientD1441029%-0.02
dust2B137654%0.02
infernoA95456%0.02
anubisD72529%-0.01
nukeA74357%0.00
overpassD62433%-0.00
vertigo31233%0.05
shelter2020%0.01
fachwerk21150%0.07
train220100%0.03
office110100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

83Matches
61%Win rate
1.24Avg K/D
87.9ADR
41%Headshot %

Clutches & streaks

30%1v1 clutch win
27%1v2 clutch win
15Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Overpass1060%1.1319.8
Dust2862%1.5721.0
Mirage862%1.2818.1
Ancient667%1.0216.3
Inferno560%1.1317.0
Train250%1.2816.0
Nuke10%1.0012.0

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.

19.2%Headshot accuracy
38.4%Accuracy (enemy spotted)
41.6%Spray accuracy
79.4%Counter-strafing
9.5°Preaim
555msReaction time
30.1%T opening success
59.7%CT opening success
0.57Enemies flashed / flash
3.2%Flash assists
6.95HE damage / grenade
6.95Flashes / 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 30.1445% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–130.0119%17 Sept
dust213–100.0431%17 Sept
shelter7–13-0.0020%17 Sept
anubis3–13-0.0018%17 Sept
cache13–90.0115%17 Sept
dust23–13-0.0529%7 Sept
vertigo13–100.0721%7 Sept
inferno11–130.0417%7 Sept
office5–10.0126%7 Sept
dust213–70.1713%3 Sept
inferno13–100.0310%1 Sept
mirage8–130.0522%1 Sept
mirage12–120.0823%20 Aug
cache7–13-0.0222%19 Aug
fachwerk13–50.0933%19 Aug
ancient15–15-0.0124%18 Aug
inferno13–90.029%18 Aug
dust213–70.044%18 Aug
vertigo12–120.0624%18 Aug
inferno9–13-0.0224%18 Aug
cache16–13-0.0413%17 Aug
mirage13–110.0724%17 Aug
dust213–40.1323%17 Aug
fachwerk12–120.0430%17 Aug
vertigo6–130.0218%17 Aug
anubis7–13-0.083%17 Aug
nuke8–130.0019%16 Aug
cache10–130.0314%16 Aug
nuke7–130.0013%4 Aug
anubis10–13-0.0421%4 Aug
cache13–80.065%3 Aug
mirage7–13-0.0319%3 Aug
inferno14–160.0316%1 Aug
cache13–110.0321%29 Jul
ancient13–10-0.0222%29 Jul
mirage15–15-0.018%25 Jul
nuke13–50.0615%25 Jul
mirage10–130.027%24 Jul
ancient13–5-0.0221%24 Jul
mirage13–20.0322%19 Jul
nuke13–80.0228%19 Jul
cache1–7-0.049%19 Jul
cache5–13-0.0719%19 Jul
dust213–16-0.0316%19 Jul
anubis13–110.0414%16 Jul
cache11–130.0118%16 Jul
mirage7–130.0620%15 Jul
cache13–9-0.0631%10 Jul
shelter11–130.0329%9 Jul
dust216–130.0311%20 Jun
anubis14–160.0020%18 Jun
inferno8–13-0.0219%18 Jun
overpass9–13-0.056%18 Jun
nuke13–1-0.037%13 Jun
overpass8–130.0527%13 Jun
nuke8–13-0.038%13 Jun
overpass7–130.0217%12 Jun
dust213–110.0220%12 Jun
inferno13–60.0514%12 Jun
ancient12–00.0721%12 Jun
ancient12–120.0110%20 May
cache13–20.047%20 May
cache12–120.0813%14 May
cache7–13-0.066%12 May
cache13–50.0713%12 May
cache13–60.1622%6 May
cache6–13-0.0125%6 May
cache8–130.0116%6 May
cache9–13-0.0021%6 May
ancient8–13-0.0520%22 Apr
mirage13–90.1019%22 Apr
anubis13–10.0216%28 Mar
mirage13–110.0613%28 Mar
mirage10–130.0128%17 Feb
anubis6–130.0027%17 Feb
ancient10–13-0.0214%15 Jan
train13–10-0.0336%4 Jan
dust26–13-0.0317%4 Jan
nuke13–9-0.0229%27 Sept
overpass13–10-0.0016%26 Sept
ancient3–13-0.0410%23 Sept
ancient7–13-0.0318%22 Sept
ancient8–13-0.0416%19 Sept
dust28–130.0213%19 Sept
ancient13–8-0.0813%15 Sept
overpass13–100.0323%14 Sept
mirage12–120.0319%14 Sept
inferno13–90.1113%14 Sept
mirage13–7-0.0228%11 Sept
mirage13–110.0012%9 Sept
inferno13–11-0.055%6 Sept
train13–50.1025%6 Sept
ancient11–130.0017%6 Sept
dust23–13-0.0920%6 Sept
mirage10–13-0.0022%20 Aug
ancient4–13-0.0131%20 Aug
ancient13–160.0114%17 Aug
mirage13–80.0320%17 Aug
dust213–80.0118%17 Aug
overpass12–16-0.0511%12 Aug

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 →