Akalit <3 m3L

Akalit <3 m3L — CS2 Stats

DE76561197968787116[U:1:8521388]Steam profile ↗✓ No bans

497Tracked matches42%Win rate2022Tracked since
1,797Hours in CS43Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating15,166Purple band · top ~27.7% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (yesterday). 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: 15,166 +167 22 Jul – 2 Oct · 18 days played
13,73015,166peak 15,16622 Jul2 Oct
15,167Peak Premier in tracked matches
26Days played since 2026-07-09

Premier CS Rating

  • At peak — 15,166
  • Next: Pink band at 20,000 — 4,834 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 rate57.9%44.3%46.9%above
Shot accuracy15.5%11.9%13.0%above
Kill/death ratio1.391.031.08above
Match win rate36.9%45.2%46.7%9.8% short

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGAkalit <3 m3LPREMIER15,166 · Purple bandcsdb.gg/stats

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Performance scores

Aim76
Positioning60
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY39–55–6Last 10039%Win rateTWWLWWLLWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +4.4pp headshot accuracy · +18ms reaction

Win rate up 20pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 548ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 582ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 573ms

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 (+2.3 against its own average).

Aim7.6
Utility2.5
Positioning6.0
Opening Duels2.5

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 84% playstyle similarity

Most alike: positioning profile, aim 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

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

Reaction time. 580ms 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
Positioning6.0
Utility2.5
Mechanics6.7
Opening Duels5.0
Win Impact2.4

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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time587ms−47ms
first ⅓ avg 633ms → last ⅓ avg 587ms
Headshot accuracy23.7%−3.0%
first ⅓ avg 26.8% → last ⅓ avg 23.7%

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

0.40Best match rating · 9–1 · overpass, 9 Aug →
53%Best headshot accuracy · 9–6 · inferno, 12 Jul →
430msFastest reaction time · 13–4 · inferno, 2 Oct →
13–1Biggest win · dust2, 24 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–12In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 57% over 7ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C2510–1540%-0.00
nukeC207–1335%0.02
infernoC188–1044%0.01
anubisB126–650%0.02
ancientD81–713%0.01
cacheA74–357%0.03
mirageD61–517%-0.03
vertigo—20–20%-0.04
overpass—22–0100%0.24

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,993Lifetime kills
1.39K/D · Top 10% of Purple band
1,961Matches
36.9%Match win rate
57.9%Headshot % · Top 10% of Purple band
15.5%Shot accuracy · Top 25% of Purple band
5,143MVPs
770Hours (in match)
1,674Bombs planted
528Bombs defused

Most-used weapons

Lifetime map wins

4,662dust2
1,846inferno
1,834nuke
623cbble
340train
177vertigo
31aztec
26militia

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

Faceit stats

Combat

2Matches
0%Win rate
0.48Avg K/D
—ADR
46%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

22.6%Headshot accuracy
34.1%Accuracy (enemy spotted)
33.2%Spray accuracy
80.3%Counter-strafing
8.5°Preaim
580msReaction time
55.9%T opening success
44.3%CT opening success
0.31Enemies flashed / flash
2.8%Flash assists
10.92HE damage / grenade
2.78Flashes / 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. 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 0.3101 — below the 0.5 mark we flag

    Grenade Lineups →
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient15–15-0.0116%2 Oct →
inferno13–40.0146%2 Oct →
nuke13–110.0224%30 Sept →
dust210–13-0.0331%30 Sept →
inferno13–40.0733%30 Sept →
inferno13–90.0321%29 Sept →
mirage3–13-0.0622%29 Sept →
anubis14–160.0623%29 Sept →
inferno13–8-0.0018%28 Sept →
mirage5–13-0.0716%28 Sept →
dust29–13-0.0534%28 Sept →
mirage9–13-0.0415%28 Sept →
dust23–13-0.0118%28 Sept →
inferno13–10-0.0218%28 Sept →
mirage15–15-0.029%28 Sept →
nuke12–160.0330%27 Sept →
nuke8–130.0114%27 Sept →
nuke13–50.0529%27 Sept →
dust213–70.0417%27 Sept →
inferno6–13-0.0721%27 Sept →
dust213–110.0132%27 Sept →
anubis13–80.0722%27 Sept →
anubis10–13-0.0322%26 Sept →
ancient15–150.0729%26 Sept →
mirage13–50.0415%26 Sept →
ancient15–150.0113%25 Sept →
dust27–13-0.0121%25 Sept →
ancient2–130.0430%25 Sept →
mirage7–130.0131%23 Sept →
cache12–160.0120%23 Sept →
ancient7–13-0.0324%23 Sept →
cache5–13-0.0025%22 Sept →
anubis4–13-0.0545%22 Sept →
dust29–13-0.0521%22 Sept →
ancient13–10-0.0420%21 Sept →
inferno4–13-0.0722%21 Sept →
nuke5–13-0.0326%21 Sept →
ancient9–13-0.0220%20 Sept →
nuke15–150.0126%20 Sept →
dust213–6-0.0426%20 Sept →
nuke13–40.0432%20 Sept →
anubis9–130.0135%19 Sept →
inferno13–11-0.0414%19 Sept →
anubis13–70.0520%19 Sept →
nuke11–13-0.0020%19 Sept →
dust28–13-0.0433%19 Sept →
dust216–140.0323%19 Sept →
nuke15–150.0631%24 Aug →
dust213–60.0623%24 Aug →
dust213–10.0618%24 Aug →
inferno11–13-0.0414%23 Aug →
nuke13–60.0424%23 Aug →
dust213–11-0.0115%23 Aug →
dust213–7-0.0316%23 Aug →
vertigo3–9-0.0243%9 Aug →
overpass9–10.4014%9 Aug →
nuke7–90.1127%9 Aug →
inferno5–90.0423%9 Aug →
inferno14–16-0.0525%30 Jul →
nuke13–50.0615%30 Jul →
nuke11–13-0.0626%26 Jul →
nuke9–13-0.0324%26 Jul →
dust211–13-0.0240%26 Jul →
dust210–130.0326%26 Jul →
anubis11–13-0.0120%26 Jul →
dust25–13-0.0323%24 Jul →
inferno13–30.0250%22 Jul →
anubis13–110.0116%22 Jul →
dust213–90.0936%22 Jul →
cache13–50.0515%22 Jul →
dust213–90.1225%21 Jul →
cache13–80.0537%21 Jul →
anubis13–11-0.0141%21 Jul →
ancient10–130.0320%21 Jul →
inferno13–160.0638%21 Jul →
dust29–130.0034%21 Jul →
dust211–13-0.018%21 Jul →
inferno11–13-0.0121%21 Jul →
dust26–13-0.048%20 Jul →
anubis16–130.0530%20 Jul →
nuke13–70.0226%20 Jul →
anubis10–130.0323%20 Jul →
dust211–13-0.0518%20 Jul →
nuke6–13-0.0220%17 Jul →
inferno3–13-0.0921%17 Jul →
inferno7–130.0343%15 Jul →
nuke7–130.0118%15 Jul →
cache13–8-0.0135%15 Jul →
dust25–13-0.0531%14 Jul →
nuke13–90.0134%14 Jul →
inferno8–130.0328%14 Jul →
cache4–13-0.0215%14 Jul →
anubis13–60.0623%14 Jul →
cache13–40.1241%14 Jul →
overpass9–40.0817%12 Jul →
vertigo3–9-0.0736%12 Jul →
nuke6–90.1017%12 Jul →
inferno9–60.2553%12 Jul →
nuke10–13-0.0630%9 Jul →
dust214–16-0.0327%9 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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