KabeZa

KabeZa — CS2 Stats

CX76561198016825292[U:1:56559564]Steam profile ↗✓ No bans

1,967Tracked matches60%Win rate2020Tracked since
CSDB Rating7.8 StrongPositional Player
Premier CS Rating24,999Top 25% of 175,286 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#20400 of 221148 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+104Premier CS Rating · 24,895 → 24,999
+4Tracked matches · now 1,967
0.0ppWin rate · 60.0% → 60.0%
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. 25 days played since 18 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 24,999 +2,055 18 Jul17 Sept · 22 days played
21,21525,113peak 25,11318 Jul17 Sept
25,113Peak Premier in tracked matches
25Days played since 2026-07-18

Premier CS Rating

  • 114 below peak (25,113)
  • +2,297 over 30 days · improving
  • Next: Red band at 25,000 1 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-06
  • Purple band 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.

Share this profile

CSDB.GGKabeZaFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER24,999 · Pink 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

Aim87
Positioning78
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY52462Last 10052%Win rateWWLLLLWWLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +5.3pp headshot accuracy · −44ms reaction

Win rate down 30pp 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

  • 23 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 33%
  • Avg reaction 497ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 34%
  • Avg reaction 503ms

Last 20

  • 137 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 31%
  • Avg reaction 525ms

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 (+1.8 against its own average).

Aim8.7
Utility6.2
Positioning7.8
Opening Duels6.6
Clutch3.2

Sharp aimerEffective flashes

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

donk

Plays most like donk 91% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

T openings. 65% T opening-duel success — entries that actually open the round.

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

Aim8.7
Positioning7.8
Utility6.2
Mechanics6.3
Opening Duels7.9
Win Impact8.3

Composite 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time533ms−53ms
first ⅓ avg 586ms → last ⅓ avg 533ms
Headshot accuracy33.9%+7.7%
first ⅓ avg 26.2% → last ⅓ avg 33.9%

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 · 13–5 · inferno, 13 Sept
63%Best headshot accuracy · 13–3 · ancient, 11 Sept
406msFastest reaction time · 16–14 · ancient, 12 Sept
13–0Biggest win · inferno, 7 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
96In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 67% over 6mirageWeakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA25141156%0.00
cacheB23121152%0.01
nukeB1991047%0.01
mirageB136746%0.02
ancientA85363%0.04
dust2S64267%0.01
anubis31233%0.01
vertigo21150%0.08
poseidon1010%-0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,471Matches
51%Win rate
1.22Avg K/D
85.8ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1937%0.9015.1
Inferno1963%1.3820.2
Anubis1729%1.0416.2
Ancient1573%1.2418.0
Nuke1258%1.2017.0
Train967%1.7718.7
Dust2862%1.0719.8
Cache667%1.8718.3

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.

32.9%Headshot accuracy
32.2%Accuracy (enemy spotted)
36.9%Spray accuracy
78.3%Counter-strafing
9.0°Preaim
527msReaction time
65.0%T opening success
57.9%CT opening success
0.72Enemies flashed / flash
8.6%Flash assists
7.99HE damage / grenade
6.04Flashes / match

Recommended for you

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.

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–60.0627%17 Sept
nuke16–130.0232%17 Sept
cache2–13-0.0625%17 Sept
nuke1–4-0.0450%17 Sept
cache14–160.0130%15 Sept
nuke6–130.0143%14 Sept
inferno13–11-0.0033%13 Sept
ancient13–70.0927%13 Sept
nuke6–130.0247%13 Sept
cache13–90.0324%13 Sept
inferno13–50.1731%13 Sept
inferno13–60.0840%13 Sept
nuke13–100.0915%13 Sept
ancient13–20.0626%13 Sept
inferno13–40.0332%13 Sept
cache4–13-0.0320%12 Sept
mirage9–130.0238%12 Sept
nuke13–110.0528%12 Sept
ancient16–14-0.0126%12 Sept
cache13–6-0.0328%12 Sept
inferno13–110.0926%12 Sept
dust213–160.0330%12 Sept
cache13–70.0131%11 Sept
dust213–9-0.0237%11 Sept
ancient13–60.1047%11 Sept
nuke4–130.1047%11 Sept
cache10–13-0.0241%11 Sept
ancient13–30.0563%11 Sept
inferno14–160.0838%11 Sept
mirage10–13-0.0233%11 Sept
cache13–10-0.0119%11 Sept
mirage7–13-0.0350%10 Sept
inferno7–13-0.0539%10 Sept
nuke13–80.0117%9 Sept
cache16–120.0435%9 Sept
inferno13–110.0224%9 Sept
mirage13–70.0942%9 Sept
nuke10–13-0.0126%8 Sept
inferno13–9-0.0220%8 Sept
inferno3–130.0333%8 Sept
cache6–130.0022%8 Sept
nuke13–70.0339%8 Sept
cache13–30.0927%7 Sept
cache5–13-0.066%7 Sept
inferno13–00.0019%7 Sept
mirage8–13-0.0130%7 Sept
mirage13–160.0219%7 Sept
nuke11–13-0.0242%5 Sept
ancient9–13-0.0214%5 Sept
cache13–10-0.0431%5 Sept
mirage13–100.0244%5 Sept
nuke6–130.0031%5 Sept
cache13–90.0021%5 Sept
dust211–13-0.0644%5 Sept
nuke13–110.0129%5 Sept
mirage13–40.0819%5 Sept
anubis13–160.0433%4 Sept
inferno13–80.0133%4 Sept
cache14–16-0.0520%20 Aug
nuke8–130.0337%20 Aug
inferno13–20.1238%20 Aug
poseidon7–9-0.1017%20 Aug
nuke8–13-0.0530%11 Aug
dust213–70.0227%10 Aug
cache13–6-0.0441%10 Aug
vertigo13–100.0428%3 Aug
cache2–6-0.1033%3 Aug
cache13–60.0718%2 Aug
inferno4–13-0.0230%30 Jul
mirage13–10.0423%30 Jul
anubis4–13-0.0412%28 Jul
nuke16–13-0.0138%28 Jul
cache7–130.0627%26 Jul
vertigo6–130.1229%26 Jul
nuke8–8-0.0516%25 Jul
inferno2–9-0.128%25 Jul
inferno0–9-0.150%25 Jul
inferno3–9-0.1610%25 Jul
inferno9–20.0820%25 Jul
inferno0–9-0.2513%25 Jul
inferno9–70.0830%25 Jul
cache8–13-0.0138%22 Jul
nuke16–120.0233%22 Jul
anubis13–100.0420%22 Jul
dust216–140.0533%20 Jul
mirage13–50.0429%20 Jul
cache13–40.1530%20 Jul
inferno4–13-0.0620%20 Jul
mirage15–150.0126%20 Jul
inferno8–130.0234%19 Jul
ancient9–13-0.0130%19 Jul
mirage6–13-0.0020%19 Jul
dust213–110.0324%19 Jul
ancient10–130.0229%19 Jul
nuke13–90.0351%19 Jul
cache2–130.0335%19 Jul
mirage13–70.0234%18 Jul
inferno13–100.0633%18 Jul
inferno9–130.0136%18 Jul
cache13–90.0736%18 Jul

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 →