macca — CS2 Stats

76561198065171533[U:1:104905805]

2,135Tracked matches57%Win rate2023Tracked since
2,039Hours in CS1Hrs last 2 wks
CSDB Rating4.9 Developing
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 rate40.2%42.5%44.2%4.0% short
Shot accuracy5.8%10.9%11.2%5.4% short
Kill/death ratio0.820.991.040.22 short
Match win rate45.4%44.2%45.3%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

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Performance scores

Aim58
Positioning33
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY464410Last 10046%Win rateTWLLWWWLLL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim5.8
Aggression1.7
Utility4.0
Positioning3.3
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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 31% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 689ms 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

Aim5.8
Positioning3.3
Utility4.0
Mechanics7.4
Opening Duels0.2
Win Impact7.4

Composite 4.9/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time659ms−76ms
first ⅓ avg 734ms → last ⅓ avg 659ms
Headshot accuracy13.0%−3.9%
first ⅓ avg 16.9% → last ⅓ avg 13.0%

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.

Highlights

0.17Best rating — train 7–0
131Biggest win — ancient
4Longest win streak
39In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 100% over 5ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B27131448%-0.04
infernoB147750%-0.02
mirageD124833%-0.04
trainA116555%-0.00
ancientD103730%-0.02
vertigoS550100%0.00
cache41325%-0.03
overpass42250%0.01
anubis4040%-0.02
nuke330100%-0.02
sanctum1010%-0.11
warden110100%-0.01
palacio1010%-0.01
golden1010%-0.01
office110100%-0.02
grail1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,693Lifetime kills
0.82K/D
3,347Matches
45.4%Match win rate · Top 50% of Level 4 players
40.2%Headshot %
5.8%Shot accuracy
4,339MVPs
1,068Hours (in match)
3,258Bombs planted
372Bombs defused

Most-used weapons

Lifetime map wins

6,789dust2
3,894inferno
3,239nuke
2,022vertigo
1,261train
106cbble
90office
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.

12.2%Headshot accuracy
35.8%Accuracy (enemy spotted)
41.0%Spray accuracy
83.2%Counter-strafing
10.3°Preaim
689msReaction time
16.3%T opening success
31.5%CT opening success
0.68Enemies flashed / flash
8.8%Flash assists
14.19HE damage / grenade
2.85Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.172% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

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

    Flashes per match 2.8506 — below the 4 mark we flag

    Grenade Lineups
  3. 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 16.2565% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
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
dust213–11-0.0711%17 Oct
dust212–12-0.0816%17 Oct
mirage10–13-0.026%17 Oct
golden6–13-0.0116%4 Oct
nuke13–7-0.0113%4 Oct
dust212–120.0118%4 Oct
dust213–8-0.0014%4 Oct
dust213–60.0617%3 Oct
dust213–20.0426%3 Oct
office13–7-0.0229%3 Oct
anubis12–120.0314%23 Sept
ancient12–12-0.0217%23 Sept
dust29–13-0.1019%23 Sept
nuke13–5-0.0324%22 Sept
dust213–70.0517%22 Sept
inferno9–60.0527%22 Sept
dust24–13-0.0721%22 Sept
dust211–130.0217%22 Sept
dust213–6-0.0215%22 Sept
dust213–2-0.0322%22 Sept
ancient7–13-0.0212%22 Sept
grail11–13-0.0214%22 Sept
mirage7–13-0.0420%22 Sept
dust213–9-0.015%22 Sept
dust213–8-0.0322%22 Sept
dust213–11-0.0320%22 Sept
mirage13–7-0.0017%22 Sept
inferno3–130.0214%21 Sept
dust211–13-0.0120%21 Sept
dust212–12-0.0514%21 Sept
train7–13-0.0613%20 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 →