macle

macle — CS2 Stats

ZW76561198123353305[U:1:163087577]Steam profile ↗✓ No bans

1,632Tracked matches38%Win rate2020Tracked since
4,032Hours in CS23Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
Premier CS Rating21,159Top 50% of 213,399 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)
CSDB Leaderboard#67978 of 260012 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 21,159 +601 29 Sept – 4 Nov · 25 days played
20,06923,815peak 23,81529 Sept4 Nov
23,815Peak Premier in tracked matches
35Days played since 2026-09-13

Premier CS Rating

  • 2,656 below peak (23,815)
  • -480 over 30 days · declining
  • Next: Red band at 25,000 — 3,841 to go
  • Reached: Pink band · 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 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 rate50.6%46.9%49.3%above
Shot accuracy15.4%13.0%13.4%above
Kill/death ratio0.981.081.120.14 short
Match win rate45.8%46.7%48.5%2.7% short

This profile matches the typical Red band player on 2 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.GGmaclePREMIER21,159 · Pink 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

Aim80
Positioning74
Utility45

0–100 skill scores via Leetify.

Recent form

COLD46–50–4Last 10046%Win rateLLLLWWLLLL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +5.1pp headshot accuracy · −10ms reaction

Win rate down 30pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 561ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 529ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 534ms

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 (+1.5 against its own average).

Aim8.0
Utility4.5
Positioning7.4
Opening Duels5.8
Clutch6.0

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

s1mple

Plays most like s1mple 87% 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

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

Aim8.0
Positioning7.4
Utility4.5
Mechanics6.2
Opening Duels8.1
Win Impact1.0

Composite 6.5/10 (Solid), 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 rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time532ms+15ms
first ⅓ avg 516ms → last ⅓ avg 532ms
Headshot accuracy17.4%−6.2%
first ⅓ avg 23.7% → last ⅓ avg 17.4%

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 · debris, 17 Oct →
50%Best headshot accuracy · 5–0 · nuke, 5 Oct →
375msFastest reaction time · 6–13 · dust2, 29 Sept →
13–0Biggest win · mirage, 1 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
10–4In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 71% over 17mirageWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
cacheS1712–571%0.02
mirageD164–1225%-0.02
infernoC146–843%0.01
dust2B136–746%-0.02
anubisB126–650%0.00
nukeD113–827%-0.02
ancientB105–550%0.02
debrisS64–267%0.03
vertigo—10–10%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

118,116Lifetime kills
0.98K/D
5,954Matches
45.8%Match win rate
50.6%Headshot % · Top 50% of Pink band
15.4%Shot accuracy · Top 50% of Pink band
16,674MVPs
2,573Hours (in match)
6,308Bombs planted
1,510Bombs defused

Most-used weapons

AK-4733,036
AWP14,512
P2502,899
FAMAS2,311
SG 5531,907

Lifetime map wins

12,678inferno
10,674dust2
3,691nuke
3,371train
1,468cbble
1,349vertigo
205lake
148office

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

Faceit stats

Combat

804Matches
50%Win rate
1.08Avg K/D
86.6ADR
46%Headshot %

Clutches & streaks

50%1v1 clutch win
36%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno967%0.9415.7
Nuke933%0.8614.1
Ancient825%1.0216.8
Mirage560%1.2217.0
Anubis425%0.8915.3
Dust2250%1.4416.5
Overpass20%0.8816.0
Cache1100%1.1011.0

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.

18.2%Headshot accuracy
37.5%Accuracy (enemy spotted)
35.5%Spray accuracy
77.7%Counter-strafing
8.7°Preaim
507msReaction time
67.3%T opening success
57.6%CT opening success
0.41Enemies flashed / flash
6.8%Flash assists
7.15HE damage / grenade
6.18Flashes / 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 0.4128 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0225%4 Nov →
anubis9–13-0.0312%4 Nov →
mirage3–13-0.0615%4 Nov →
nuke11–13-0.0316%4 Nov →
cache13–90.0821%4 Nov →
cache13–110.0319%3 Nov →
ancient6–13-0.0122%3 Nov →
anubis9–13-0.0218%2 Nov →
nuke8–13-0.0527%2 Nov →
nuke2–130.0423%30 Oct →
inferno6–130.0230%29 Oct →
ancient13–110.0013%29 Oct →
ancient13–70.0415%29 Oct →
cache0–13-0.0212%29 Oct →
ancient10–13-0.0310%29 Oct →
nuke3–9-0.127%28 Oct →
cache13–80.0021%27 Oct →
mirage13–5-0.0414%27 Oct →
dust213–9-0.0114%27 Oct →
mirage2–13-0.0013%26 Oct →
mirage8–13-0.0411%26 Oct →
anubis4–13-0.009%26 Oct →
dust213–30.0020%25 Oct →
inferno8–130.0021%25 Oct →
anubis13–90.0322%25 Oct →
nuke10–13-0.0324%25 Oct →
inferno13–20.1013%25 Oct →
anubis15–15-0.0032%25 Oct →
inferno13–50.0116%25 Oct →
mirage4–13-0.0819%23 Oct →
anubis13–160.0215%23 Oct →
cache13–70.0310%23 Oct →
mirage6–13-0.0222%23 Oct →
dust213–16-0.0124%21 Oct →
mirage13–90.0413%21 Oct →
inferno4–13-0.0917%21 Oct →
mirage4–13-0.019%21 Oct →
dust210–13-0.0230%20 Oct →
inferno13–40.1418%19 Oct →
ancient13–100.0714%19 Oct →
anubis13–100.0214%19 Oct →
inferno13–11-0.0311%19 Oct →
mirage13–90.0333%19 Oct →
dust213–7-0.0013%19 Oct →
inferno4–13-0.0116%18 Oct →
dust28–13-0.0327%18 Oct →
ancient8–13-0.0621%18 Oct →
cache13–40.0325%17 Oct →
cache13–50.0922%17 Oct →
dust213–30.0122%17 Oct →
cache13–90.0623%17 Oct →
debris9–20.1817%17 Oct →
vertigo4–9-0.0914%17 Oct →
inferno6–9-0.0322%17 Oct →
mirage5–130.0018%15 Oct →
mirage1–13-0.1028%15 Oct →
cache13–6-0.0112%14 Oct →
anubis12–160.0316%14 Oct →
ancient16–120.0624%13 Oct →
mirage15–150.0125%13 Oct →
nuke11–130.0219%13 Oct →
nuke16–14-0.0223%12 Oct →
inferno5–13-0.0312%12 Oct →
cache8–13-0.0512%11 Oct →
anubis13–4-0.0427%11 Oct →
nuke16–140.0125%11 Oct →
cache16–14-0.0130%10 Oct →
dust215–15-0.0438%7 Oct →
cache12–160.0125%7 Oct →
inferno16–140.0534%5 Oct →
nuke5–00.0250%5 Oct →
dust213–9-0.0826%5 Oct →
anubis13–10-0.0521%1 Oct →
mirage14–16-0.0030%1 Oct →
cache13–8-0.0127%1 Oct →
nuke11–13-0.0121%1 Oct →
mirage13–00.000%1 Oct →
inferno7–13-0.0121%30 Sept →
mirage10–13-0.0522%30 Sept →
dust26–13-0.0833%29 Sept →
anubis13–70.1139%29 Sept →
inferno9–130.0325%29 Sept →
dust210–13-0.0227%28 Sept →
debris5–9-0.099%24 Sept →
debris9–7-0.0329%24 Sept →
inferno13–6-0.0326%23 Sept →
mirage8–13-0.0324%23 Sept →
cache13–30.1330%23 Sept →
dust210–13-0.0122%23 Sept →
cache12–16-0.0023%22 Sept →
ancient13–70.0622%22 Sept →
anubis13–11-0.027%22 Sept →
ancient10–13-0.0117%20 Sept →
cache13–5-0.0113%18 Sept →
nuke9–13-0.0426%15 Sept →
dust213–8-0.0314%14 Sept →
ancient10–130.0725%14 Sept →
debris8–80.0714%13 Sept →
debris9–40.1219%13 Sept →
debris9–7-0.0821%13 Sept →

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.