Mac

Mac — CS2 Stats

76561197981565029[U:1:21299301]Steam profile ↗

3,363Tracked matches50%Win rate2020Tracked since
CSDB Rating5.1 Developing
FaceitLevel 7 · 1,693 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMacFACEITLevel 7 · 1,693 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning50
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY4456Last 10044%Win rateWLWWLLWLLL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim5.4
Aggression5.6
Utility7.2
Positioning5.0
Opening Duels2.6
Clutch3.6

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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 51% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim5.4
Positioning5.0
Utility7.2
Mechanics5.9
Opening Duels2.7
Win Impact5.0

Composite 5.1/10 (Developing), 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 rating-0.02+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time592ms−38ms
first ⅓ avg 630ms → last ⅓ avg 592ms
Headshot accuracy12.7%−0.1%
first ⅓ avg 12.8% → last ⅓ avg 12.7%

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.

Highlights

0.06Best rating — inferno 13–6
133Biggest win — nuke
4Longest win streak
58In matches decided by ≤2 rounds
19Overtime games

Map breakdown

dust2Best map · 80% over 5overpassWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB1991047%-0.01
anubisC156940%-0.02
ancientB158753%-0.03
infernoC125742%-0.02
mirageD93633%-0.03
overpassD92722%-0.03
trainB84450%-0.02
cacheC73443%-0.01
dust2S54180%-0.03
vertigo1010%-0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,841Matches
50%Win rate
0.85Avg K/D
77.6ADR
36%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient30748%0.8514.0
Nuke30259%0.9815.2
Anubis23552%0.8914.6
Mirage19742%0.8012.5
Inferno19750%0.9414.2
Dust211939%0.8314.0
Vertigo10749%0.9815.6
Train10150%0.9214.8

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.

12.3%Headshot accuracy
36.4%Accuracy (enemy spotted)
41.2%Spray accuracy
76.6%Counter-strafing
13.2°Preaim
594msReaction time
29.7%T opening success
51.3%CT opening success
0.73Enemies flashed / flash
6.3%Flash assists
10.46HE damage / grenade
13.48Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1817° — above the 12° mark we flag

    Aim Training
  2. 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 12.3097% — below the 15% mark we flag

    Aim Training
Spend your practice time on Overpass

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–70.005%25 Aug
vertigo10–13-0.0610%22 Aug
inferno13–80.016%21 Aug
nuke13–11-0.0117%18 Aug
anubis7–13-0.0012%15 Aug
nuke6–130.018%8 Aug
ancient13–10-0.0215%8 Aug
ancient20–22-0.029%3 Aug
nuke9–13-0.0211%1 Aug
ancient10–13-0.096%29 Jul
inferno10–13-0.0813%28 Jul
cache13–100.0111%28 Jul
cache13–60.0611%27 Jul
dust26–13-0.0310%25 Jul
nuke10–130.0012%25 Jul
ancient13–100.0216%24 Jul
inferno13–16-0.0312%23 Jul
ancient13–9-0.0212%22 Jul
nuke5–13-0.009%22 Jul
ancient13–90.0314%21 Jul
inferno13–10-0.0516%12 Jul
mirage14–16-0.0512%11 Jul
dust216–12-0.0020%3 Jul
overpass13–50.069%2 Jul
anubis13–10-0.0115%30 Jun
nuke13–100.0120%13 Jun
anubis7–13-0.0715%25 May
cache5–13-0.0318%23 May
anubis5–13-0.0311%22 May
mirage16–140.0111%22 May
cache7–13-0.0218%22 May
mirage7–13-0.0610%17 May
nuke9–13-0.0123%15 May
anubis11–130.0120%8 May
cache3–130.009%2 May
inferno11–130.0113%2 May
nuke13–80.0117%2 May
cache1–13-0.0711%1 May
nuke13–100.0422%25 Apr
mirage13–40.0516%11 Apr
nuke13–30.0116%2 Apr
dust216–14-0.0216%18 Feb
overpass10–13-0.0413%15 Feb
anubis7–13-0.0117%3 Feb
anubis13–90.0121%28 Jan
nuke9–13-0.0114%17 Jan
anubis13–6-0.047%16 Jan
anubis8–130.009%10 Jan
overpass3–13-0.0420%5 Jan
inferno12–16-0.0818%4 Jan
mirage7–13-0.110%1 Jan
nuke7–13-0.053%30 Dec
mirage13–70.0313%27 Dec
mirage13–16-0.0314%26 Dec
nuke13–9-0.0522%23 Dec
train11–13-0.097%8 Dec
mirage2–13-0.034%6 Dec
inferno16–13-0.0115%20 Nov
nuke13–6-0.0213%1 Nov
nuke9–130.0318%26 Oct
train4–13-0.107%24 Oct
nuke13–9-0.0410%15 Oct
overpass10–130.0114%4 Oct
inferno13–10-0.0018%2 Oct
nuke13–3-0.0310%24 Aug
ancient13–70.018%24 Aug
overpass19–22-0.0415%23 Aug
ancient4–13-0.105%23 Aug
overpass9–13-0.109%22 Aug
ancient10–13-0.084%17 Aug
dust213–5-0.0318%14 Aug
train13–80.0417%11 Aug
overpass13–16-0.077%5 Aug
overpass10–13-0.0616%31 Jul
overpass13–10-0.0311%28 Jul
nuke13–16-0.0416%27 Jul
train10–130.028%22 Jul
train13–50.0013%22 Jul
ancient3–13-0.0317%12 Jul
inferno13–60.0620%11 Jul
anubis16–14-0.0117%11 Jul
nuke9–13-0.026%6 Jul
ancient13–10-0.0214%5 Jul
train9–13-0.0213%26 Jun
inferno7–13-0.0330%26 Jun
anubis4–13-0.0618%26 Jun
anubis17–19-0.0213%25 Jun
inferno13–160.0314%24 Jun
anubis16–14-0.0314%20 Jun
ancient13–60.0213%18 Jun
train13–9-0.0210%18 Jun
ancient13–8-0.079%13 Jun
anubis17–19-0.0512%4 Jun
mirage8–13-0.077%4 Jun
train16–13-0.048%2 Jun
ancient8–13-0.0518%31 May
inferno9–13-0.0710%29 May
anubis13–10-0.0315%29 May
dust216–13-0.0615%28 May
ancient11–130.036%28 May

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 →