slugga

slugga — CS2 Stats

CA76561198044351324[U:1:84085596]Steam profile ↗

1,576Tracked matches52%Win rate2020Tracked since
CSDB Rating6.4 SolidHybrid Rifler
Premier CS Rating20,000Pink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#3046 of 6803 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGsluggaFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning52
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY46477Last 10046%Win rateLWWWWLLWLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.0
Aggression6.1
Utility6.1
Positioning5.2
Opening Duels3.1
Clutch0.0

Strong CT-side openerEffective flashes

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 92% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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 60% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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
Positioning5.2
Utility6.1
Mechanics6.6
Opening Duels3.7
Win Impact5.6

Composite 6.4/10 (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 rating0.00−0.04
first ⅓ avg 0.05 → last ⅓ avg 0.00
Reaction time513ms−63ms
first ⅓ avg 576ms → last ⅓ avg 513ms
Headshot accuracy17.4%−6.1%
first ⅓ avg 23.4% → 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.

Highlights

0.16Best rating — dust2 13–10
130Biggest win — dust2
13Longest win streak
87In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 59% over 17ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC2291341%0.03
dust2B22101245%0.02
mirageA1710759%0.04
cacheB168850%0.03
nukeC83538%0.02
ancientD62433%0.01
anubis31233%-0.01
fachwerk220100%-0.00
vertigo21150%0.02
italy1010%0.04
overpass1010%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

414Matches
61%Win rate
1.49Avg K/D
78.4ADR
39%Headshot %

Clutches & streaks

20%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Cache1362%1.3117.5
Anubis1242%0.8912.5
Inferno1155%1.2116.6
Mirage850%1.2518.4
Nuke667%1.2316.3
Vertigo425%0.9317.0
Dust2450%0.8213.0
Overpass250%0.7012.5

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.

16.8%Headshot accuracy
35.8%Accuracy (enemy spotted)
43.5%Spray accuracy
79.5%Counter-strafing
9.7°Preaim
508msReaction time
25.6%T opening success
59.6%CT opening success
0.75Enemies flashed / flash
6.5%Flash assists
11.75HE damage / grenade
7.98Flashes / 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

    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 25.5522% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke1–13-0.115%27 Aug
ancient13–11-0.0415%27 Aug
inferno13–50.0629%27 Aug
cache13–20.0124%27 Aug
mirage13–50.0515%27 Aug
cache15–190.0215%26 Aug
nuke10–13-0.058%26 Aug
dust213–90.0417%26 Aug
mirage2–13-0.0618%26 Aug
cache4–13-0.0918%25 Aug
dust213–100.0222%24 Aug
anubis8–13-0.099%24 Aug
dust213–00.0319%24 Aug
inferno7–13-0.0417%22 Aug
anubis13–8-0.0015%22 Aug
fachwerk13–70.0121%16 Aug
dust25–13-0.0418%16 Aug
fachwerk13–3-0.0216%16 Aug
dust214–160.0414%16 Aug
inferno13–50.0213%15 Aug
mirage13–60.0415%15 Aug
cache11–130.1119%15 Aug
inferno5–130.0118%15 Aug
dust24–13-0.0423%15 Aug
cache9–130.0117%14 Aug
mirage13–100.0610%13 Aug
cache13–11-0.0020%13 Aug
inferno15–150.0616%13 Aug
cache13–70.0215%12 Aug
dust26–13-0.0530%11 Aug
dust29–13-0.0026%11 Aug
ancient16–140.0419%28 Jul
dust213–110.0419%27 Jul
inferno10–130.0413%27 Jul
mirage1–13-0.0483%27 Jul
inferno13–50.048%27 Jul
inferno8–8-0.0112%27 Jul
cache16–13-0.0214%27 Jul
dust213–100.0528%26 Jul
mirage11–130.0825%26 Jul
dust213–70.0226%26 Jul
inferno8–130.0516%26 Jul
dust26–130.0626%26 Jul
ancient8–130.0113%25 Jul
mirage9–130.0111%24 Jul
dust29–13-0.0321%24 Jul
inferno13–110.0415%24 Jul
nuke16–130.0824%24 Jul
dust213–100.0914%23 Jul
ancient8–130.0828%19 Jul
nuke13–90.0314%19 Jul
mirage7–13-0.0112%19 Jul
cache12–160.0422%17 Jul
inferno5–130.0419%17 Jul
cache13–60.1334%17 Jul
cache7–13-0.0714%17 Jul
cache11–130.0915%17 Jul
inferno13–100.0616%16 Jul
mirage13–50.0821%16 Jul
inferno13–70.0415%16 Jul
nuke13–80.0115%16 Jul
inferno13–40.0210%15 Jul
cache13–10.0412%15 Jul
dust216–120.0020%15 Jul
mirage13–10-0.0121%15 Jul
cache13–110.0214%14 Jul
inferno13–40.0314%14 Jul
mirage13–110.1121%14 Jul
mirage13–50.1525%14 Jul
inferno13–50.0527%14 Jul
inferno8–80.1027%14 Jul
ancient5–13-0.0423%14 Jul
mirage7–13-0.0119%14 Jul
inferno7–130.0425%14 Jul
dust25–13-0.0119%14 Jul
inferno11–13-0.0311%13 Jul
cache13–30.0513%13 Jul
dust213–16-0.0315%3 Jul
dust215–150.0114%2 Jul
inferno11–130.0719%30 Jun
dust213–100.1635%30 Jun
nuke10–130.0822%30 Jun
vertigo8–130.0117%29 Jun
dust212–120.0829%29 Jun
nuke9–130.0322%29 Jun
italy11–130.0439%29 Jun
inferno7–130.0219%25 Jun
anubis13–160.0721%25 Jun
dust213–110.0122%25 Jun
vertigo13–30.0316%24 Jun
mirage13–50.1132%24 Jun
mirage16–130.0515%19 Jun
nuke10–130.0828%19 Jun
cache12–120.1025%6 Jun
overpass12–120.0126%2 Jun
mirage13–80.0417%2 Jun
ancient9–130.0338%2 Jun
inferno5–130.0229%2 Jun
mirage7–130.0843%2 Jun
dust210–13-0.0119%1 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches13-Win Streak
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