Kempa

Kempa — CS2 Stats

76561198260229426[U:1:299963698]Steam profile ↗✓ No bans

592Tracked matches50%Win rate2023Tracked since
474Hours in CS
CSDB Rating5.6 SolidPositional Player
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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: 15,000 +5,553 5 May – 2 Nov · 27 days played
9,44715,943peak 15,9435 May2 Nov
16,137Peak Premier in tracked matches
40Days played since 2026-05-02

Premier CS Rating

  • 943 below peak (15,943)
  • -609 over 30 days · declining
  • +1,665 over 90 days
  • Next: Pink band at 20,000 — 5,000 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate37.5%44.4%46.9%9.4% short
Shot accuracy4.4%11.9%13.0%8.5% short
Kill/death ratio1.081.031.08meets
Match win rate51.3%45.2%46.7%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKempaPREMIER15,000 · Purple 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

Aim83
Positioning47
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY56–38–6Last 10056%Win rateLWLWWWWLWL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · −0.1pp headshot accuracy · −39ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 17%
  • Avg reaction 506ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 485ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 505ms

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 (+2.4 against its own average).

Aim8.3
Utility3.2
Positioning4.7
Opening Duels0.9
Clutch0.4

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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower 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

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

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

Aim8.3
Positioning4.7
Utility3.2
Mechanics6.3
Opening Duels2.0
Win Impact5.0

Composite 5.6/10 (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 rating0.02−0.04
first ⅓ avg 0.06 → last ⅓ avg 0.02
Reaction time502ms−90ms
first ⅓ avg 592ms → last ⅓ avg 502ms
Headshot accuracy14.3%+0.2%
first ⅓ avg 14.1% → last ⅓ avg 14.3%

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

0.32Best match rating · 9–1 · poseidon, 21 May →
28%Best headshot accuracy · 13–9 · office, 4 Sept →
328msFastest reaction time · 10–13 · inferno, 25 Oct →
13–1Biggest win · cache, 3 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
11–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 67% over 15officeWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
cacheA159–660%0.02
ancientS1510–567%0.01
mirageS128–467%0.02
infernoB105–550%0.03
anubisA106–460%0.02
dust2B84–450%-0.04
officeC73–443%0.03
nukeB63–350%0.05
train—41–325%0.02
overpass—41–325%0.04
poseidon—44–0100%0.20
vertigo—22–0100%-0.03
debris—10–10%-0.05
stronghold—10–10%0.06
italy—10–10%0.17

Across the last 100 tracked matches.

Lifetime stats

22,130Lifetime kills
1.08K/D · Top 50% of Purple band
1,375Matches
51.3%Match win rate · Top 10% of Purple band
37.5%Headshot %
4.4%Shot accuracy
3,720MVPs
474Hours (in match)
1,830Bombs planted
292Bombs defused

Most-used weapons

Lifetime map wins

1,993inferno
1,573nuke
973dust2
672vertigo
462train
210office
130lake
91bank

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

Faceit stats

Combat

28Matches
46%Win rate
0.73Avg K/D
64.8ADR
38%Headshot %

Clutches & streaks

22%1v1 clutch win
22%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage838%0.7411.9
Inferno540%0.718.6
Ancient450%0.7110.3
Nuke425%0.508.5
Dust2450%0.8812.0
Anubis3100%0.8814.3

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.

14.3%Headshot accuracy
40.7%Accuracy (enemy spotted)
38.9%Spray accuracy
78.2%Counter-strafing
8.6°Preaim
504msReaction time
35.8%T opening success
40.2%CT opening success
0.34Enemies flashed / flash
5.7%Flash assists
13.37HE damage / grenade
1.77Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.2541% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3399 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 35.8197% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage10–130.0514%2 Nov →
mirage13–110.037%2 Nov →
inferno9–130.0822%2 Nov →
office8–20.1514%2 Nov →
office13–70.0526%2 Nov →
dust213–30.0214%27 Oct →
anubis16–130.0113%25 Oct →
inferno10–13-0.0323%25 Oct →
inferno13–70.0714%18 Oct →
dust23–13-0.073%18 Oct →
inferno5–130.0319%17 Oct →
cache8–130.0011%17 Oct →
train12–120.0314%13 Oct →
train6–130.0119%13 Oct →
train9–13-0.0117%13 Oct →
anubis16–140.0113%4 Oct →
cache13–1-0.0521%3 Oct →
ancient10–13-0.0411%3 Oct →
ancient4–13-0.0516%3 Oct →
ancient13–90.0310%3 Oct →
cache13–80.0417%3 Oct →
vertigo13–7-0.0118%26 Sept →
vertigo13–3-0.045%26 Sept →
dust23–13-0.115%26 Sept →
overpass12–120.1021%19 Sept →
office7–13-0.0315%19 Sept →
anubis10–13-0.019%19 Sept →
mirage13–30.0416%19 Sept →
anubis13–90.026%19 Sept →
anubis6–130.0314%12 Sept →
mirage15–150.0012%12 Sept →
inferno13–70.0818%12 Sept →
anubis13–60.0616%12 Sept →
cache13–50.0519%11 Sept →
poseidon9–40.126%11 Sept →
overpass5–9-0.039%11 Sept →
nuke5–90.1018%11 Sept →
anubis13–30.1110%4 Sept →
office2–13-0.0311%4 Sept →
office13–90.0028%4 Sept →
poseidon9–30.1727%4 Sept →
debris6–9-0.056%1 Sept →
inferno11–130.0117%1 Sept →
dust26–13-0.0818%28 Aug →
ancient13–90.1016%28 Aug →
anubis15–15-0.0317%23 Aug →
ancient13–80.0312%23 Aug →
cache11–130.0313%18 Aug →
ancient13–40.1112%18 Aug →
dust211–20.0615%18 Aug →
train13–60.0510%12 Aug →
ancient13–70.0310%9 Aug →
cache13–10.0218%7 Aug →
mirage13–20.036%7 Aug →
dust213–8-0.0324%7 Aug →
mirage13–8-0.0216%7 Aug →
nuke8–80.078%7 Aug →
inferno5–9-0.143%7 Aug →
ancient16–14-0.0612%4 Aug →
nuke13–11-0.0111%2 Aug →
nuke13–5-0.038%1 Aug →
cache13–7-0.0211%1 Aug →
cache8–13-0.0214%31 Jul →
ancient13–9-0.058%31 Jul →
cache11–13-0.0513%31 Jul →
ancient7–13-0.1015%24 Jul →
anubis13–11-0.0611%24 Jul →
dust28–13-0.1015%24 Jul →
dust216–140.039%17 Jul →
ancient9–13-0.0721%17 Jul →
inferno13–110.0516%14 Jul →
mirage14–16-0.085%13 Jul →
cache13–40.1023%4 Jul →
cache9–130.028%4 Jul →
mirage13–11-0.0115%4 Jul →
cache13–8-0.0012%3 Jul →
ancient16–14-0.0613%3 Jul →
inferno13–40.1410%30 May →
mirage4–13-0.039%30 May →
mirage13–110.1314%24 May →
ancient13–80.1814%24 May →
poseidon9–60.2011%21 May →
poseidon9–10.329%21 May →
ancient10–130.0918%21 May →
ancient13–60.0522%21 May →
inferno16–13-0.0211%18 May →
office9–13-0.0520%18 May →
office9–130.1314%14 May →
stronghold10–130.0618%10 May →
italy12–120.1714%10 May →
cache13–90.1718%10 May →
anubis13–160.1014%8 May →
nuke13–100.0611%8 May →
mirage13–80.0811%7 May →
cache13–70.0619%7 May →
mirage13–110.0515%5 May →
nuke7–130.1013%5 May →
overpass8–130.0617%5 May →
cache7–13-0.0621%2 May →
overpass9–60.044%2 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.