chakaL

chakaL — CS2 Stats

76561197996308067[U:1:36042339]Steam profile ↗✓ No bans

1,624Tracked matches60%Win rate2020Tracked since
CSDB Rating6.1 SolidSupport
FaceitLevel 9 · 1,996 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (62 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,996 → 1,996
+10Tracked matches · now 1,624
−3.3ppWin rate · 63.3% → 60.0%

Rating over time

Premier CS Rating: 27,715 +16,022 2 Jul – 25 Jun · 6 days played
11,69327,715peak 27,7152 Jul25 Jun
27,715Peak Premier in tracked matches
1,996Highest Faceit ELO seen on CSDB
48Days played since 2023-06-05

Faceit ELO

  • At peak — 1,996
  • Next: Level 10 at 2,001 — 5 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

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.GGchakaLFACEITLevel 9 · 1,996 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,996csdb.gg/stats

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Performance scores

Aim74
Positioning55
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY62–36–2Last 10062%Win rateLLLLLWWWWW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −5.6pp headshot accuracy · +37ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 586ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 568ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 550ms

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 (+0.9 against its own average).

Aim7.4
Utility5.8
Positioning5.5
Opening Duels4.1
Clutch4.2

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim 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

T-side openings. Opening success drops from 54% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim7.4
Positioning5.5
Utility5.8
Mechanics6.7
Opening Duels3.7
Win Impact8.3

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time578ms+25ms
first ⅓ avg 553ms → last ⅓ avg 578ms
Headshot accuracy20.9%−2.2%
first ⅓ avg 23.1% → last ⅓ avg 20.9%

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

0.18Best match rating · 9–2 · rooftop, 21 Nov →
52%Best headshot accuracy · 6–13 · dust2, 18 Jun →
406msFastest reaction time · 9–0 · inferno, 28 Jun →
13–1Biggest win · ancient, 24 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L5Current streak
5–1In matches decided by ≤2 rounds
20Overtime games

Map breakdown

overpassBest map · 83% over 6mirageWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2818–1064%0.01
dust2A1911–858%0.02
ancientA148–657%0.00
nukeS1410–471%0.02
mirageB105–550%0.01
overpassS65–183%0.05
anubis—30–30%-0.01
cache—21–150%0.01
rooftop—11–0100%0.18
train—11–0100%0.06
grail—11–0100%-0.01
vertigo—11–0100%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,465Matches
52%Win rate
1.17Avg K/D
66.6ADR
43%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient4151%0.9513.1
Inferno4149%0.8914.5
Dust21833%0.8112.3
Nuke1145%0.8613.9
Anubis812%0.8614.3
Overpass757%0.8514.9
Cache650%0.7912.3
Train10%0.6511.0

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.

21.2%Headshot accuracy
34.6%Accuracy (enemy spotted)
38.8%Spray accuracy
80.0%Counter-strafing
10.8°Preaim
568msReaction time
35.1%T opening success
54.4%CT opening success
0.56Enemies flashed / flash
7.8%Flash assists
8.44HE damage / grenade
8.04Flashes / 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 35.1112% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno12–16-0.0616%9 Sept →
dust23–13-0.0512%8 Sept →
cache5–13-0.0310%30 Aug →
inferno4–13-0.0618%29 Aug →
mirage9–130.0121%27 Aug →
ancient13–8-0.0115%26 Aug →
nuke13–50.0424%24 Aug →
ancient13–10.0526%24 Aug →
cache13–80.0512%5 Aug →
ancient13–80.0815%5 Aug →
ancient13–60.0124%31 Jul →
mirage3–13-0.0510%29 Jul →
inferno13–80.0113%25 Jun →
nuke13–90.0621%25 Jun →
dust213–10.1041%24 Jun →
overpass13–80.1031%24 Jun →
inferno13–7-0.0115%24 Jun →
inferno13–10-0.0424%22 Jun →
ancient13–11-0.0218%22 Jun →
inferno5–13-0.0127%22 Jun →
mirage11–13-0.0418%18 Jun →
inferno13–90.0117%18 Jun →
ancient9–130.0118%18 Jun →
nuke13–70.0129%18 Jun →
dust26–13-0.0252%18 Jun →
nuke13–40.0644%18 Jun →
nuke13–9-0.0719%17 Jun →
dust24–13-0.0411%17 Jun →
inferno7–13-0.0523%29 Mar →
inferno13–90.0625%19 Mar →
dust213–90.0319%13 Mar →
overpass16–19-0.0413%22 Nov →
nuke4–13-0.0713%22 Nov →
inferno8–13-0.0231%21 Nov →
rooftop9–20.1833%21 Nov →
mirage13–6-0.0316%17 Aug →
nuke13–160.0117%16 Aug →
nuke13–30.0422%16 Aug →
overpass13–90.0623%16 Aug →
train13–30.0619%16 Aug →
dust215–150.0222%15 Aug →
ancient13–4-0.0316%15 Aug →
inferno13–9-0.0423%9 Aug →
dust213–20.0216%9 Aug →
nuke13–7-0.0520%9 Aug →
inferno13–20.1723%19 Jul →
inferno13–70.0423%19 Jul →
nuke8–130.0630%16 Jul →
dust213–10-0.0139%7 Jul →
overpass13–10.0812%7 Jul →
inferno13–20.0329%7 Jul →
anubis12–160.0419%6 Jul →
inferno13–60.0417%5 Jul →
inferno13–40.1027%5 Jul →
dust26–130.0123%5 Jul →
dust27–130.0132%5 Jul →
nuke13–20.0933%5 Jul →
inferno13–90.0324%4 Jul →
mirage13–10-0.057%4 Jul →
dust213–8-0.0423%4 Jul →
dust213–80.0427%3 Jul →
dust213–100.0826%3 Jul →
dust213–70.0032%2 Jul →
dust213–40.0130%29 Jun →
dust27–13-0.0128%29 Jun →
mirage13–90.0515%29 Jun →
nuke13–11-0.0110%28 Jun →
inferno9–00.0933%28 Jun →
inferno13–60.0718%28 Jun →
mirage10–130.0627%28 Jun →
mirage7–1-0.0240%28 Jun →
dust213–70.1518%27 Jun →
dust213–80.0119%27 Jun →
ancient12–160.0613%27 Jun →
nuke13–30.0228%27 Jun →
dust27–130.1024%27 Jun →
mirage13–10.0923%27 Jun →
inferno13–10.1819%24 Jun →
grail13–11-0.0120%23 Jun →
anubis7–13-0.0126%8 Aug →
inferno19–15-0.0629%2 Aug →
inferno13–16-0.0224%10 Feb →
ancient9–130.0321%1 Oct →
ancient9–13-0.1218%30 Sept →
overpass13–60.1034%30 Sept →
ancient8–8-0.0217%1 Sept →
inferno11–16-0.0131%21 Jul →
overpass16–12-0.0025%21 Jul →
ancient14–30.0328%21 Jul →
mirage2–90.0230%18 Jul →
nuke4–90.0221%18 Jul →
ancient13–16-0.0313%12 Jun →
inferno16–140.0522%6 Jun →
ancient16–50.018%6 Jun →
vertigo16–110.0613%6 Jun →
inferno13–160.0027%6 Jun →
anubis18–22-0.0518%5 Jun →
inferno16–14-0.0726%5 Jun →
inferno11–16-0.0419%5 Jun →
inferno9–16-0.0232%5 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 →

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