macca

macca — CS2 Stats

AU76561198065171533[U:1:104905805]Steam profile ↗✓ No bans

2,166Tracked matches39%Win rate2023Tracked since
2,060Hours in CS5Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

+16Tracked matches · now 2,166
−1.4ppWin rate · 40.7% → 39.3%

Rating over time

27Days played since 2025-10-24

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches19——
Win rate42%——
K/D0.72——
Headshot %51%——

Measured 12 Sep 2026 → 11 Oct 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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,998), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate40.3%42.7%43.7%3.4% short
Shot accuracy5.8%11.3%12.0%6.3% short
Kill/death ratio0.820.991.020.20 short
Match win rate45.3%43.9%44.7%meets

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmaccaFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim71
Positioning46
Utility35

0–100 skill scores via Leetify.

Recent form

COLD42–51–7Last 10042%Win rateLLLLLWLLWW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +5.5pp headshot accuracy · +15ms 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 18%
  • Avg reaction 572ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 630ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 622ms

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 (+1.7 against its own average).

Aim7.1
Utility3.5
Positioning4.6
Opening Duels0.6

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

sh1ro

Plays most like sh1ro 89% 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. 617ms 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

Aim7.1
Positioning4.6
Utility3.5
Mechanics7.7
Opening Duels1.3
Win Impact1.4

Composite 5.0/10 (Developing), 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 rating-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time613ms−54ms
first ⅓ avg 667ms → last ⅓ avg 613ms
Headshot accuracy17.2%+1.2%
first ⅓ avg 16.0% → last ⅓ avg 17.2%

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

0.17Best match rating · 7–0 · train, 22 Aug →
43%Best headshot accuracy · 8–13 · train, 1 Mar →
375msFastest reaction time · 7–0 · train, 22 Aug →
13–1Biggest win · dust2, 18 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
2–6In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 83% over 6cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2D206–1430%-0.04
mirageC176–1135%-0.03
infernoB126–650%-0.03
trainA106–460%0.00
ancientD93–633%-0.02
cacheD82–625%-0.03
anubisD72–529%-0.04
vertigoS65–183%-0.01
overpass—42–250%0.01
nuke—22–0100%0.03
office—21–150%0.03
sanctum—10–10%-0.11
warden—11–0100%-0.01
palacio—10–10%-0.01

Across the last 100 tracked matches.

Lifetime stats

42,169Lifetime kills
0.82K/D
3,385Matches
45.3%Match win rate · Top 50% of Level 4 players
40.3%Headshot %
5.8%Shot accuracy
4,388MVPs
1,081Hours (in match)
3,286Bombs planted
379Bombs defused

Most-used weapons

Lifetime map wins

6,878dust2
3,896inferno
3,253nuke
2,029vertigo
1,264train
111office
106cbble
32assault

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

Faceit stats

Combat

1Matches
0%Win rate
0.47Avg K/D
—ADR
50%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.

16.2%Headshot accuracy
35.5%Accuracy (enemy spotted)
37.6%Spray accuracy
84.5%Counter-strafing
9.4°Preaim
617msReaction time
37.7%T opening success
32.9%CT opening success
0.51Enemies flashed / flash
6.9%Flash assists
10.05HE damage / grenade
3.78Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7782 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 37.6759% — below the 40% mark we flag

Spend your practice time on Cache

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0523%3 Oct →
mirage3–13-0.0819%3 Oct →
dust28–13-0.0315%3 Oct →
dust24–13-0.065%2 Oct →
dust29–130.0127%2 Oct →
dust213–8-0.0719%2 Oct →
cache1–13-0.0814%18 Sept →
dust20–13-0.0643%18 Sept →
anubis13–11-0.0318%18 Sept →
dust213–10.1028%18 Sept →
cache13–7-0.0314%18 Sept →
anubis13–6-0.0015%18 Sept →
nuke13–70.0813%18 Sept →
dust213–30.0514%18 Sept →
mirage12–12-0.0224%18 Sept →
anubis5–13-0.0719%18 Sept →
mirage13–4-0.0715%5 Sept →
dust212–12-0.0513%5 Sept →
mirage13–5-0.0326%5 Sept →
ancient5–130.024%5 Sept →
mirage13–6-0.0222%5 Sept →
mirage7–130.0510%5 Sept →
dust25–13-0.0618%4 Sept →
anubis8–13-0.082%4 Sept →
cache6–130.026%4 Sept →
mirage7–13-0.0714%4 Sept →
mirage7–130.0414%4 Sept →
vertigo6–13-0.107%3 Sept →
office13–20.1222%3 Sept →
cache8–13-0.0513%3 Sept →
office8–13-0.0724%3 Sept →
inferno12–12-0.0813%22 Aug →
train7–00.1736%22 Aug →
dust22–13-0.1316%12 Aug →
train10–13-0.0518%12 Aug →
inferno13–5-0.032%12 Aug →
train13–30.0021%12 Aug →
inferno5–1-0.020%12 Aug →
mirage4–13-0.0614%12 Aug →
mirage11–130.077%11 Jul →
sanctum7–9-0.1111%4 Jul →
train6–13-0.0516%20 Jun →
cache8–13-0.0612%20 Jun →
warden13–10-0.0111%20 Jun →
overpass9–40.1015%20 Jun →
mirage13–7-0.0318%6 Jun →
cache12–12-0.0614%2 May →
train13–8-0.043%1 May →
cache13–80.0111%1 May →
cache10–13-0.0112%1 May →
ancient9–13-0.069%18 Apr →
dust213–7-0.049%18 Apr →
dust27–13-0.0415%18 Apr →
ancient2–13-0.009%18 Apr →
inferno13–70.0112%18 Apr →
vertigo13–20.118%18 Apr →
anubis11–13-0.0514%18 Apr →
train11–20.0019%18 Apr →
train13–70.027%18 Apr →
mirage5–13-0.0310%18 Apr →
inferno13–80.0111%17 Apr →
inferno13–7-0.027%17 Apr →
dust213–6-0.0323%17 Apr →
inferno10–13-0.0527%6 Apr →
ancient6–13-0.0216%3 Apr →
anubis11–13-0.0315%3 Apr →
inferno2–13-0.067%28 Mar →
mirage5–13-0.0818%28 Mar →
anubis12–12-0.0310%28 Mar →
ancient13–1-0.0215%28 Mar →
vertigo13–40.0115%28 Mar →
mirage13–5-0.079%28 Mar →
ancient13–11-0.0316%28 Mar →
mirage11–13-0.0718%14 Mar →
dust28–13-0.076%14 Mar →
dust213–5-0.0728%14 Mar →
overpass2–13-0.0325%14 Mar →
inferno10–13-0.0417%14 Mar →
vertigo13–8-0.035%14 Mar →
nuke13–8-0.0313%14 Mar →
overpass12–12-0.019%14 Mar →
ancient11–13-0.073%14 Mar →
dust26–13-0.0716%14 Mar →
ancient13–80.1117%9 Mar →
inferno13–3-0.019%9 Mar →
vertigo13–8-0.0322%8 Mar →
overpass13–5-0.0316%8 Mar →
train3–13-0.0527%1 Mar →
dust25–13-0.0918%1 Mar →
mirage12–12-0.0511%1 Mar →
train8–130.0343%1 Mar →
train13–60.008%1 Mar →
ancient4–13-0.1110%1 Mar →
dust21–13-0.0917%25 Jan →
palacio10–13-0.0126%21 Jan →
dust25–13-0.0218%1 Nov →
mirage13–4-0.0311%1 Nov →
inferno1–6-0.0925%24 Oct →
vertigo13–6-0.0520%24 Oct →
inferno9–13-0.027%24 Oct →

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.