Kartza

Kartza — CS2 Stats

76561197999838142[U:1:39572414]Steam profile ↗✓ No bans

3,890Tracked matches52%Win rate2020Tracked since
CSDB Rating6.5 SolidSupport
Premier CS Rating18,844Top 50% of 204,412 CSDB-tracked playersPurple band · top ~13.1% of ranked players (population est.)
CSDB Leaderboard#97457 of 251541 tracked
FaceitLevel 10 · 2,066 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (2 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: 18,844 +2,324 12 Aug – 12 Oct · 19 days played
16,52018,844peak 18,84412 Aug12 Oct
Faceit ELO: 2,066 +0 29 Aug – 11 Oct · 7 observations
2,0662,066peak 2,06629 Aug11 Oct
19,137Peak Premier in tracked matches
2,066Highest Faceit ELO seen on CSDB
26Days played since 2026-08-11

Faceit ELO

  • At peak — 2,066
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 434 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-29
  • Level 9 first seen 2026-08-29

Premier CS Rating

  • At peak — 18,844
  • +797 over 30 days · improving
  • Next: Pink band at 20,000 — 1,156 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

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.GGKartzaFACEITLevel 10 · 2,066 ELOSTANDINGTop 12.4% of rankedPREMIER18,844 · Purple band30 DAYS0 ELOPEAK ELO2,066csdb.gg/stats

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Performance scores

Aim84
Positioning59
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLWWWLWLWLL

Last 10 vs previous 10: −20pp win rate · +0.04 avg rating · −0.6pp headshot accuracy · +1ms reaction

Win rate down 20pp 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 (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 553ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 537ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 536ms

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: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim8.4
Utility6.1
Positioning5.9
Opening Duels2.9
Clutch2.8

Effective flashesLimited 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

ZywOo

Plays most like ZywOo 97% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 56% on T to 41% on CT — first contacts on the defending side are being lost.

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

Aim8.4
Positioning5.9
Utility6.1
Mechanics5.5
Opening Duels4.6
Win Impact5.6

Composite 6.5/10 (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 rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time550ms−22ms
first ⅓ avg 571ms → last ⅓ avg 550ms
Headshot accuracy23.4%+3.0%
first ⅓ avg 20.4% → last ⅓ avg 23.4%

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

0.13Best match rating · 13–1 · anubis, 13 Aug →
50%Best headshot accuracy · 1–13 · train, 14 Aug →
328msFastest reaction time · 0–4 · dust2, 22 Aug →
13–1Biggest win · cache, 16 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–4In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 79% over 19ancientWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
nukeS1915–479%0.00
ancientD186–1233%-0.02
infernoA1610–663%-0.01
cacheB157–847%0.01
dust2B115–645%-0.01
anubisC114–736%-0.01
mirageS96–367%0.00
train—10–10%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,699Matches
51%Win rate
1.05Avg K/D
77.7ADR
43%Headshot %

Clutches & streaks

34%1v1 clutch win
26%1v2 clutch win
15Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient11151%0.9514.8
Anubis9448%1.1816.1
Nuke9159%1.1016.4
Inferno8156%1.0515.8
Vertigo3658%1.2016.3
Mirage3450%1.1814.2
Dust23152%0.8313.5
Train1362%1.0214.2

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.

22.9%Headshot accuracy
38.0%Accuracy (enemy spotted)
43.6%Spray accuracy
74.7%Counter-strafing
9.1°Preaim
543msReaction time
56.4%T opening success
40.7%CT opening success
0.74Enemies flashed / flash
5.2%Flash assists
12.68HE damage / grenade
4.64Flashes / match

Recommended for you

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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–130.0421%12 Oct →
mirage13–90.0825%12 Oct →
cache13–100.0923%12 Oct →
dust213–90.0325%11 Oct →
mirage8–130.0123%10 Oct →
dust213–90.0439%10 Oct →
ancient9–13-0.0417%10 Oct →
nuke13–50.0229%10 Oct →
cache6–130.0327%10 Oct →
anubis10–130.0023%4 Oct →
anubis15–150.0321%2 Oct →
inferno13–90.0228%2 Oct →
nuke13–30.0233%2 Oct →
ancient13–9-0.0524%26 Sept →
inferno13–9-0.0629%26 Sept →
cache13–5-0.0233%26 Sept →
dust24–3-0.0327%26 Sept →
nuke13–6-0.0223%26 Sept →
mirage7–130.0324%25 Sept →
cache13–5-0.0214%25 Sept →
inferno10–13-0.0113%18 Sept →
nuke5–130.0016%15 Sept →
nuke5–13-0.0821%15 Sept →
inferno13–80.0310%14 Sept →
ancient13–160.0221%14 Sept →
ancient9–130.0115%9 Sept →
nuke13–9-0.0126%9 Sept →
nuke13–11-0.0423%6 Sept →
ancient6–13-0.0817%6 Sept →
cache5–13-0.0625%6 Sept →
nuke16–14-0.0126%6 Sept →
cache8–13-0.0732%5 Sept →
dust213–160.0221%5 Sept →
anubis13–80.0014%5 Sept →
ancient10–3-0.0410%5 Sept →
inferno12–16-0.0516%5 Sept →
nuke16–13-0.0416%5 Sept →
anubis7–13-0.0614%5 Sept →
dust213–11-0.0322%5 Sept →
nuke13–100.0311%3 Sept →
inferno13–40.0516%3 Sept →
inferno13–110.0426%2 Sept →
mirage5–13-0.068%2 Sept →
anubis13–8-0.0111%29 Aug →
nuke16–12-0.0217%29 Aug →
anubis2–13-0.0511%22 Aug →
nuke13–90.0214%22 Aug →
inferno19–17-0.0116%22 Aug →
ancient10–13-0.0123%22 Aug →
inferno13–9-0.0416%22 Aug →
ancient13–50.0016%22 Aug →
cache3–130.0229%22 Aug →
dust20–40.0140%22 Aug →
mirage13–10-0.0213%22 Aug →
ancient14–160.0415%22 Aug →
inferno9–130.0123%22 Aug →
ancient9–13-0.0028%22 Aug →
inferno3–13-0.0323%22 Aug →
nuke6–130.0316%21 Aug →
cache13–90.0829%21 Aug →
mirage13–9-0.0112%21 Aug →
anubis8–13-0.0820%21 Aug →
cache7–13-0.0216%21 Aug →
ancient3–13-0.099%19 Aug →
inferno13–30.0311%19 Aug →
mirage13–10-0.0016%19 Aug →
dust213–110.0425%18 Aug →
ancient6–130.0111%18 Aug →
mirage13–100.0320%18 Aug →
anubis9–130.0031%17 Aug →
nuke13–11-0.0024%17 Aug →
dust24–13-0.0829%17 Aug →
cache2–13-0.0613%17 Aug →
cache16–130.088%16 Aug →
inferno13–100.0120%16 Aug →
nuke13–60.0220%16 Aug →
inferno7–13-0.0526%16 Aug →
nuke14–160.0621%16 Aug →
ancient13–16-0.019%16 Aug →
cache13–10.0313%16 Aug →
ancient13–90.0328%16 Aug →
anubis9–13-0.059%14 Aug →
mirage13–11-0.0517%14 Aug →
dust28–13-0.0447%14 Aug →
train1–130.0050%14 Aug →
inferno16–130.0016%14 Aug →
ancient13–11-0.0119%13 Aug →
nuke13–40.1216%13 Aug →
ancient15–15-0.0220%13 Aug →
anubis13–10.1321%13 Aug →
cache13–11-0.0118%13 Aug →
ancient13–110.0113%13 Aug →
nuke13–9-0.0516%13 Aug →
cache8–130.0128%12 Aug →
dust216–14-0.0220%12 Aug →
inferno8–13-0.0718%12 Aug →
dust210–13-0.0218%12 Aug →
nuke13–70.0216%12 Aug →
anubis13–90.0424%11 Aug →
ancient11–13-0.0414%11 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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