base slut

base slut — CS2 Stats

76561198173231297[U:1:212965569]Steam profile ↗✓ No bans

1,200Tracked matches50%Win rate2020Tracked since
CSDB Rating5.9 SolidPositional Player
FaceitLevel 9 · 1,826 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGbase slutFACEITLevel 9 · 1,826 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim77
Positioning66
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateWLLWWWWLLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −2.3pp headshot accuracy · +32ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 669ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 624ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 607ms

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).

Aim7.7
Utility4.4
Positioning6.6
Opening Duels4.9
Clutch3.8

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

donk

Plays most like donk 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 600ms 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

Aim7.7
Positioning6.6
Utility4.4
Mechanics6.9
Opening Duels4.2
Win Impact5.0

Composite 5.9/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time610ms+18ms
first ⅓ avg 592ms → last ⅓ avg 610ms
Headshot accuracy21.7%+0.2%
first ⅓ avg 21.5% → last ⅓ avg 21.7%

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.

Personal bests

0.16Best match rating · 13–0 · mirage, 30 Jun →
50%Best headshot accuracy · 8–13 · nuke, 23 Jun →
375msFastest reaction time · 13–11 · inferno, 25 May →
13–0Biggest win · mirage, 30 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–12In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 59% over 22cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%0.02
dust2A2213–959%0.00
ancientB2111–1052%0.01
anubisC135–838%0.01
infernoC104–640%0.00
cacheD62–433%-0.01
overpass—22–0100%0.05
nuke—10–10%-0.09

Across the last 100 tracked matches.

Faceit stats

Combat

1,250Matches
50%Win rate
1.15Avg K/D
83.1ADR
53%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage24652%1.1517.1
Dust215050%1.1316.7
Ancient11749%1.2017.8
Inferno7347%1.1316.7
Anubis5446%1.1318.0
Overpass3551%1.0418.4
Cache1947%1.0317.8
Nuke1644%0.9714.4

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.

22.1%Headshot accuracy
35.2%Accuracy (enemy spotted)
38.5%Spray accuracy
81.2%Counter-strafing
9.3°Preaim
600msReaction time
49.3%T opening success
44.0%CT opening success
0.45Enemies flashed / flash
4.4%Flash assists
10.54HE damage / grenade
7.66Flashes / 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 0.4496 — below the 0.5 mark we flag

    Grenade Lineups →
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.

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.0728%16 Jul →
mirage14–16-0.0515%16 Jul →
dust27–13-0.0224%15 Jul →
anubis13–110.0615%6 Jul →
dust213–11-0.0130%6 Jul →
ancient13–60.1116%6 Jul →
dust213–90.0122%6 Jul →
anubis16–190.0117%6 Jul →
inferno11–13-0.0417%5 Jul →
inferno11–130.0321%4 Jul →
mirage11–130.0120%3 Jul →
mirage16–140.0225%3 Jul →
ancient13–100.0114%3 Jul →
mirage9–13-0.0118%3 Jul →
mirage13–7-0.0026%3 Jul →
dust27–13-0.0120%3 Jul →
mirage9–130.0122%3 Jul →
dust213–7-0.0137%3 Jul →
dust213–8-0.0418%2 Jul →
anubis13–80.0428%2 Jul →
anubis13–70.0032%2 Jul →
dust212–160.0533%2 Jul →
ancient10–13-0.0419%1 Jul →
cache13–100.0823%1 Jul →
mirage9–13-0.0117%30 Jun →
mirage13–00.1622%30 Jun →
overpass13–80.0137%30 Jun →
inferno11–130.0621%30 Jun →
anubis13–160.0417%30 Jun →
ancient9–13-0.0116%29 Jun →
mirage4–130.0219%29 Jun →
cache13–100.0317%29 Jun →
cache10–13-0.0510%28 Jun →
anubis11–13-0.0018%28 Jun →
mirage9–13-0.0119%28 Jun →
ancient7–13-0.0320%28 Jun →
mirage13–90.0019%28 Jun →
anubis11–13-0.0424%27 Jun →
dust23–13-0.0726%27 Jun →
mirage11–130.0732%27 Jun →
dust213–80.0224%27 Jun →
dust213–7-0.0423%27 Jun →
ancient13–110.0119%27 Jun →
anubis13–7-0.0123%27 Jun →
mirage13–40.0720%26 Jun →
dust213–80.0133%26 Jun →
ancient5–13-0.0611%26 Jun →
mirage13–60.0415%26 Jun →
dust216–130.0135%25 Jun →
anubis17–190.0332%25 Jun →
anubis13–90.0430%25 Jun →
ancient13–60.0433%24 Jun →
ancient9–130.0019%23 Jun →
dust213–50.0423%23 Jun →
nuke8–13-0.0950%23 Jun →
inferno9–13-0.0016%23 Jun →
cache10–13-0.0044%22 Jun →
mirage13–40.1328%20 Jun →
mirage3–13-0.0429%20 Jun →
mirage13–30.0324%20 Jun →
dust210–13-0.0433%20 Jun →
ancient11–130.0417%18 Jun →
anubis6–13-0.0643%18 Jun →
mirage11–130.0013%17 Jun →
ancient13–70.0226%17 Jun →
cache10–13-0.0532%15 Jun →
ancient13–80.0529%15 Jun →
mirage13–60.0518%14 Jun →
dust27–130.0114%14 Jun →
inferno6–13-0.0345%14 Jun →
dust213–30.0620%13 Jun →
mirage13–40.0114%10 Jun →
inferno13–110.0933%9 Jun →
ancient13–90.0126%29 May →
inferno13–90.0211%29 May →
cache5–13-0.068%28 May →
mirage5–13-0.0716%28 May →
mirage6–13-0.0016%28 May →
dust28–130.0319%28 May →
overpass13–110.0814%27 May →
mirage13–80.1021%27 May →
mirage16–13-0.0115%27 May →
ancient13–70.1114%26 May →
ancient14–16-0.0119%26 May →
anubis9–13-0.0221%26 May →
inferno10–130.0124%26 May →
ancient5–130.0324%26 May →
inferno13–11-0.0530%25 May →
anubis5–13-0.0016%25 May →
dust213–7-0.0324%25 May →
ancient19–160.0222%23 May →
dust23–13-0.0330%23 May →
ancient6–13-0.0426%22 May →
ancient10–130.0020%21 May →
ancient16–140.0320%19 May →
dust27–13-0.0544%19 May →
inferno13–5-0.0227%18 May →
dust213–20.0911%18 May →
dust213–70.0420%18 May →
ancient13–110.0228%17 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 →

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