$Kali

$Kali — CS2 Stats

BB76561198307567535[U:1:347301807]Steam profile ↗✓ No bans

1,352Tracked matches60%Win rate2020Tracked since
5,237Hours in CS2Hrs last 2 wks
CSDB Rating7.0 StrongSupport
Premier CS Rating20,412Top 50% of 215,248 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)
CSDB Leaderboard#78754 of 261492 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 20,412 → 20,412
+2Tracked matches · now 1,352
+2.3ppWin rate · 57.7% → 60.0%

Rating over time

Premier CS Rating: 20,412 +2,871 25 Jun – 3 Nov · 10 days played
17,54120,795peak 20,79525 Jun3 Nov
21,342Peak Premier in tracked matches
38Days played since 2026-06-23

Premier CS Rating

  • 383 below peak (20,795)
  • Next: Red band at 25,000 — 4,588 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-25
  • Purple band first seen 2026-09-25

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate45.2%46.9%49.3%4.1% short
Shot accuracy15.2%13.0%13.4%above
Kill/death ratio0.941.081.120.18 short
Match win rate41.0%46.7%48.5%7.5% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG$KaliPREMIER20,412 · Pink bandcsdb.gg/stats

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Performance scores

Aim83
Positioning61
Utility63

0–100 skill scores via Leetify.

Recent form

HOT55–39–6Last 10055%Win rateTLWWWWWWWT

Last 10 vs previous 10: +40pp win rate · −0.02 avg rating · +0.9pp headshot accuracy · −30ms reaction

Win rate up 40pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 503ms

Last 10

  • 7–1–2 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 567ms

Last 20

  • 10–5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 581ms

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 (+2.1 against its own average).

Aim8.3
Utility6.3
Positioning6.1
Opening Duels2.8
Clutch1.6

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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 586ms 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

Aim8.3
Positioning6.1
Utility6.3
Mechanics7.3
Opening Duels2.9
Win Impact8.3

Composite 7.0/10 (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+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time587ms−44ms
first ⅓ avg 631ms → last ⅓ avg 587ms
Headshot accuracy21.0%+2.6%
first ⅓ avg 18.4% → last ⅓ avg 21.0%

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

0.22Best match rating · 13–3 · mirage, 23 Jun →
33%Best headshot accuracy · 2–13 · mirage, 7 Nov →
422msFastest reaction time · 13–1 · inferno, 11 Jul →
13–1Biggest win · dust2, 11 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 61% over 36infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB3918–2146%0.02
dust2A3622–1461%0.01
infernoC104–640%0.02
cacheB63–350%0.03
ancient—43–175%0.02
nuke—33–0100%-0.01
anubis—22–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

146,961Lifetime kills
0.94K/D
6,612Matches
41.0%Match win rate
45.2%Headshot %
15.2%Shot accuracy · Top 50% of Pink band
14,037MVPs
3,098Hours (in match)
5,518Bombs planted
1,403Bombs defused

Most-used weapons

AK-4752,955
AWP8,493
FAMAS4,208
P2503,994
SG 5532,408

Lifetime map wins

13,960dust2
8,213inferno
1,269train
954nuke
633cbble
452vertigo
122lake
97safehouse

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

Faceit stats

Combat

49Matches
53%Win rate
1.31Avg K/D
96.1ADR
47%Headshot %

Clutches & streaks

28%1v1 clutch win
31%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1669%1.5320.9
Dust2560%1.3820.0
Inferno560%1.5925.2
Nuke367%1.5718.3
Anubis367%1.3718.7
Ancient250%1.2815.5
Train250%1.2918.0
Overpass10%0.7613.0

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.

20.8%Headshot accuracy
38.4%Accuracy (enemy spotted)
39.8%Spray accuracy
82.6%Counter-strafing
9.0°Preaim
586msReaction time
37.3%T opening success
46.0%CT opening success
0.66Enemies flashed / flash
5.8%Flash assists
8.60HE damage / grenade
16.66Flashes / 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 37.342% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno12–120.0425%7 Nov →
mirage2–130.0533%7 Nov →
dust213–10.0817%11 Oct →
inferno13–40.0233%11 Oct →
mirage13–110.0313%10 Oct →
inferno13–50.0330%10 Oct →
mirage13–6-0.0417%10 Oct →
dust213–20.0622%10 Oct →
dust213–7-0.0115%4 Oct →
inferno12–120.0718%4 Oct →
mirage12–120.0624%4 Oct →
dust212–120.0117%30 Sept →
dust25–130.0125%23 Sept →
dust20–13-0.0122%23 Sept →
mirage13–50.1712%23 Sept →
mirage10–130.0723%23 Sept →
nuke13–100.0128%22 Sept →
mirage12–120.1115%16 Sept →
inferno6–130.0520%16 Sept →
nuke13–100.0229%8 Sept →
mirage4–130.0513%28 Aug →
mirage2–13-0.0418%28 Aug →
dust213–11-0.0020%27 Aug →
dust27–00.0225%27 Aug →
mirage9–130.0125%2 Aug →
dust213–4-0.0126%26 Jul →
dust213–90.0518%23 Jul →
mirage8–130.0115%22 Jul →
mirage13–70.0215%19 Jul →
mirage8–130.0417%19 Jul →
mirage7–13-0.0416%19 Jul →
dust24–13-0.0824%17 Jul →
ancient5–13-0.0121%17 Jul →
inferno6–13-0.0722%17 Jul →
mirage13–90.0317%17 Jul →
dust210–13-0.0117%17 Jul →
dust29–130.0530%17 Jul →
mirage10–13-0.0112%17 Jul →
mirage13–30.0813%17 Jul →
cache13–40.1021%16 Jul →
mirage2–13-0.0319%16 Jul →
dust216–130.0615%16 Jul →
mirage16–14-0.0217%15 Jul →
cache4–130.0124%15 Jul →
ancient13–10-0.0418%15 Jul →
dust28–13-0.0012%14 Jul →
dust210–13-0.0213%14 Jul →
cache13–8-0.0121%14 Jul →
dust25–130.0212%14 Jul →
mirage8–13-0.0214%14 Jul →
mirage5–13-0.0319%13 Jul →
dust213–80.0410%13 Jul →
mirage2–13-0.0510%13 Jul →
inferno4–13-0.0420%13 Jul →
dust29–13-0.0614%13 Jul →
dust211–13-0.0516%12 Jul →
dust213–90.0214%12 Jul →
inferno13–10.1012%11 Jul →
dust27–13-0.0317%11 Jul →
dust213–40.1323%11 Jul →
mirage13–9-0.0112%11 Jul →
cache13–60.0524%10 Jul →
mirage13–50.1018%10 Jul →
anubis13–110.0220%10 Jul →
dust27–130.0115%10 Jul →
mirage13–80.0328%9 Jul →
dust213–60.0420%8 Jul →
dust213–100.0115%6 Jul →
dust213–90.0120%5 Jul →
ancient9–20.0010%5 Jul →
mirage13–100.0820%5 Jul →
mirage6–13-0.0415%5 Jul →
dust27–0-0.078%5 Jul →
dust213–1-0.0217%5 Jul →
dust213–90.0319%4 Jul →
mirage11–130.1014%4 Jul →
mirage16–14-0.0117%4 Jul →
inferno9–13-0.0222%3 Jul →
mirage6–13-0.0719%3 Jul →
mirage13–70.0114%3 Jul →
ancient13–100.1218%3 Jul →
nuke13–11-0.0617%1 Jul →
mirage13–11-0.0215%30 Jun →
dust213–90.0620%29 Jun →
mirage0–9-0.0113%29 Jun →
dust213–80.0330%27 Jun →
dust213–80.0224%27 Jun →
dust213–90.1127%27 Jun →
mirage13–8-0.0317%27 Jun →
anubis13–40.0513%27 Jun →
cache11–13-0.0020%26 Jun →
inferno13–40.0427%26 Jun →
mirage13–50.0818%26 Jun →
mirage12–120.0122%26 Jun →
dust210–13-0.0123%25 Jun →
mirage16–140.0119%25 Jun →
mirage2–13-0.0524%25 Jun →
dust213–5-0.0114%24 Jun →
cache7–130.0520%23 Jun →
mirage13–30.2219%23 Jun →

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 →

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