Kaluka

Kaluka — CS2 Stats

NO76561198035752447[U:1:75486719]Steam profile ↗✓ No bans

1,352Tracked matches48%Win rate2020Tracked since
5,482Hours in CS10Hrs last 2 wks
CSDB Rating6.0 SolidSupport
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,281 → 2,281
+15Tracked matches · now 1,352
+11.5ppWin rate · 36.7% → 48.1%

Rating over time

Premier CS Rating: 22,632 -242 19 Apr – 6 Jul · 16 days played
22,12124,511peak 24,51119 Apr6 Jul
Faceit ELO: 2,281 +0 29 Aug – 17 Sept · 4 observations
2,2812,281peak 2,28129 Aug17 Sept
24,911Peak Premier in tracked matches
2,281Highest Faceit ELO seen on CSDB
27Days played since 2026-04-19

Faceit ELO

  • At peak — 2,281
  • Next: 2,500 ELO at 2,500 — 219 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 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches22——
Win rate50%——
K/D1.29——
Headshot %51%——

Measured 29 Aug 2026 → 28 Sep 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGKalukaPEAK ELO2,281csdb.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

Aim76
Positioning55
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWTTTLLWLWW

Last 10 vs previous 10: 0pp win rate · +0.06 avg rating · −0.3pp headshot accuracy · −95ms reaction

Win rate 0pp 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

  • 1–1–3 · 20% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 21%
  • Avg reaction 505ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 20%
  • Avg reaction 552ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 599ms

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 (+1.3 against its own average).

Aim7.6
Utility5.8
Positioning5.5
Opening Duels2.6
Clutch4.0

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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 602ms 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

Aim7.6
Positioning5.5
Utility5.8
Mechanics6.7
Opening Duels2.9
Win Impact4.4

Composite 6.0/10 (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 rating0.03+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time602ms−2ms
first ⅓ avg 604ms → last ⅓ avg 602ms
Headshot accuracy19.0%+1.0%
first ⅓ avg 18.0% → last ⅓ avg 19.0%

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

0.31Best match rating · 9–0 · overpass, 27 Jun →
38%Best headshot accuracy · 2–13 · dust2, 20 May →
422msFastest reaction time · 5–9 · inferno, 28 Jun →
13–0Biggest win · mirage, 26 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 75% over 8anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C229–1341%0.01
infernoB178–947%0.02
mirageA148–657%0.03
ancientA138–562%-0.02
anubisD93–633%0.02
overpassA85–363%0.07
nukeS86–275%0.04
cacheA53–260%0.01
vertigo—41–325%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

172,236Lifetime kills
1.06K/D · Top 50% of tracked players
8,937Matches
51.0%Match win rate · Top 25% of tracked players
47.9%Headshot % · Top 50% of tracked players
20.2%Shot accuracy · Top 5% of tracked players
35,181MVPs
3,216Hours (in match)
14,230Bombs planted
8,313Bombs defused

Most-used weapons

AK-4767,362
Glock-1810,771
AWP5,486
UMP-453,560
Knife2,307
P902,054

Lifetime map wins

13,125dust2
12,818inferno
5,918train
4,766nuke
3,653cbble
2,260vertigo
154lake
82shorttrain

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

Faceit stats

Combat

1,592Matches
51%Win rate
1.03Avg K/D
74.4ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
15%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis944%0.9914.4
Dust2989%0.9613.6
Ancient888%0.9513.9
Mirage850%0.8313.3
Inferno520%0.6712.2
Overpass30%0.6611.7
Vertigo3100%1.3413.7
Cache250%0.8613.5

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.

19.9%Headshot accuracy
36.4%Accuracy (enemy spotted)
38.2%Spray accuracy
80.3%Counter-strafing
9.2°Preaim
602msReaction time
45.4%T opening success
37.5%CT opening success
0.67Enemies flashed / flash
8.4%Flash assists
10.27HE damage / grenade
4.99Flashes / 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 37.453% — below the 40% mark we flag

Spend your practice time on Anubis

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 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.1723%26 Sept →
anubis12–120.0015%26 Sept →
anubis12–120.1320%26 Sept →
overpass12–120.0423%26 Sept →
dust22–13-0.0426%26 Sept →
cache8–130.0119%26 Sept →
mirage13–00.1313%26 Sept →
inferno7–130.0419%25 Sept →
anubis13–70.0718%25 Sept →
dust213–90.1520%25 Sept →
mirage8–20.0512%25 Sept →
dust211–13-0.044%25 Sept →
anubis13–160.0034%29 Aug →
mirage11–13-0.0025%1 Aug →
ancient4–13-0.0914%1 Aug →
dust27–130.1122%1 Aug →
anubis13–80.0215%30 Jul →
mirage8–130.0422%27 Jul →
cache13–80.0126%25 Jul →
nuke13–30.0625%25 Jul →
cache13–11-0.0015%23 Jul →
dust211–13-0.0220%23 Jul →
mirage13–100.0316%6 Jul →
cache13–5-0.0112%6 Jul →
inferno8–130.0320%6 Jul →
anubis5–13-0.0624%6 Jul →
ancient6–13-0.0328%4 Jul →
mirage13–100.0422%4 Jul →
ancient13–6-0.0324%4 Jul →
nuke9–70.019%28 Jun →
overpass9–50.1310%28 Jun →
inferno5–9-0.0913%28 Jun →
vertigo8–80.0421%28 Jun →
overpass9–30.109%27 Jun →
vertigo9–10.2312%27 Jun →
inferno9–50.0928%27 Jun →
nuke9–20.1418%27 Jun →
nuke9–30.1730%27 Jun →
overpass9–00.3127%27 Jun →
inferno9–6-0.0218%27 Jun →
vertigo7–9-0.0414%27 Jun →
mirage10–13-0.0215%13 Jun →
dust25–13-0.0215%13 Jun →
nuke9–13-0.0316%13 Jun →
inferno8–13-0.0221%13 Jun →
overpass7–9-0.0822%13 Jun →
vertigo2–9-0.2423%13 Jun →
inferno9–40.1628%13 Jun →
nuke9–40.0111%13 Jun →
mirage13–80.0314%12 Jun →
ancient13–70.0225%12 Jun →
inferno8–13-0.0310%31 May →
mirage8–130.0117%31 May →
dust210–13-0.0911%31 May →
dust28–130.0120%30 May →
mirage13–90.0819%30 May →
cache8–130.0115%30 May →
ancient9–130.0214%30 May →
inferno6–13-0.029%30 May →
dust211–130.0011%30 May →
overpass13–20.0536%30 May →
ancient16–14-0.0214%29 May →
inferno13–11-0.037%29 May →
dust213–60.1224%29 May →
anubis2–13-0.0613%20 May →
dust22–13-0.0938%20 May →
mirage13–20.0614%20 May →
overpass13–100.0413%20 May →
inferno13–70.0929%20 May →
mirage13–160.0519%16 May →
mirage13–6-0.0124%16 May →
dust213–20.1130%16 May →
ancient13–11-0.0418%16 May →
nuke7–130.0021%15 May →
ancient13–70.0119%15 May →
dust211–13-0.0114%15 May →
dust216–120.0211%15 May →
anubis6–130.0216%14 May →
dust213–50.0119%14 May →
ancient7–13-0.0415%14 May →
dust27–13-0.0514%11 May →
overpass5–13-0.0315%11 May →
inferno16–12-0.0124%11 May →
nuke13–10-0.0112%11 May →
anubis13–10-0.0117%11 May →
ancient5–13-0.0726%11 May →
inferno9–13-0.0225%10 May →
ancient16–14-0.0111%10 May →
dust213–5-0.0114%10 May →
dust215–120.0217%5 May →
ancient13–11-0.0018%5 May →
dust28–130.0326%5 May →
inferno5–130.047%26 Apr →
dust22–13-0.0618%26 Apr →
ancient13–70.0615%24 Apr →
mirage11–13-0.0417%24 Apr →
inferno6–13-0.0418%24 Apr →
inferno13–100.0120%19 Apr →
dust213–100.0320%19 Apr →
dust213–80.0410%19 Apr →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.