The Big Slur

The Big Slur — CS2 Stats

76561198198224138[U:1:237958410]Steam profile ↗✓ No bans

1,031Tracked matches43%Win rate2020Tracked since
880Hours in CS
CSDB Rating4.6 DevelopingSupport
Ladder ranks via Leetify

Performance scores

Aim52
Positioning50
Utility73

0–100 skill scores via Leetify.

Recent form

COLD46504Last 10046%Win rateWTWLLLLLWL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim5.2
Aggression4.8
Utility7.3
Positioning5.0
Opening Duels1.5
Clutch2.0

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 87% playstyle similarity

Most alike: opening-fight frequency, 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

Reaction time. 679ms 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

Aim5.2
Positioning5.0
Utility7.3
Mechanics7.1
Opening Duels1.5
Win Impact2.6

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.04
first ⅓ avg -0.02 → last ⅓ avg 0.02
Reaction time682ms+3ms
first ⅓ avg 679ms → last ⅓ avg 682ms
Headshot accuracy15.4%−0.7%
first ⅓ avg 16.1% → last ⅓ avg 15.4%

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

0.13Best rating — inferno 13–5
132Biggest win — cache
8Longest win streak
77In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 71% over 21anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS2115671%0.00
mirageB2091145%-0.01
ancientD1751229%-0.03
dust2D1651131%0.00
nukeB137654%-0.01
cacheS64267%0.01
anubisD51420%-0.03
overpass2020%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,779Lifetime kills
0.87K/D
2,158Matches
43.6%Match win rate
41.5%Headshot %
5.8%Shot accuracy
3,667MVPs
880Hours (in match)
2,624Bombs planted
453Bombs defused

Most-used weapons

AK-4710,535
MAC-102,355
MP92,181
SG 5531,265
FAMAS1,129
AWP948
P90935

Lifetime map wins

4,428dust2
3,197inferno
2,236nuke
739vertigo
709train
63office
23ar_shoots
8ar_baggage

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

Faceit stats

Combat

340Matches
51%Win rate
0.92Avg K/D
80.3ADR
41%Headshot %

Clutches & streaks

30%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno6162%1.0215.9
Mirage5238%0.8113.2
Anubis4848%1.0515.8
Nuke4567%0.9715.8
Ancient4553%0.9514.4
Dust22540%0.7213.4
Train2050%0.8413.8
Overpass1650%0.9414.9

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.

15.2%Headshot accuracy
33.3%Accuracy (enemy spotted)
35.1%Spray accuracy
81.8%Counter-strafing
10.9°Preaim
679msReaction time
40.4%T opening success
31.5%CT opening success
0.67Enemies flashed / flash
8.6%Flash assists
13.61HE damage / grenade
10.34Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.4599% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–20.0313%24 Aug
dust212–120.0018%24 Aug
mirage13–80.0319%24 Aug
dust29–130.0217%18 Aug
nuke8–130.0119%18 Aug
dust29–130.0121%17 Aug
inferno4–13-0.0613%16 Aug
inferno9–130.1011%14 Aug
dust213–9-0.0612%14 Aug
dust210–130.0814%11 Aug
inferno13–50.0811%11 Aug
nuke12–120.1023%11 Aug
mirage4–130.0416%7 Aug
mirage11–130.0914%6 Aug
inferno13–3-0.0213%6 Aug
dust27–130.0916%6 Aug
inferno13–80.0320%5 Aug
dust25–13-0.0516%5 Aug
inferno9–130.0314%5 Aug
dust26–13-0.0513%31 Jul
inferno13–10-0.1115%31 Jul
inferno13–80.0718%28 Jul
nuke13–90.0312%28 Jul
mirage11–130.1214%28 Jul
inferno9–13-0.0316%27 Jul
mirage4–13-0.0315%27 Jul
inferno13–10-0.0419%26 Jul
cache4–13-0.0518%26 Jul
nuke13–11-0.045%26 Jul
mirage13–7-0.0310%26 Jul
cache13–40.0818%26 Jul
inferno13–60.0224%23 Jul
inferno13–80.1212%23 Jul
mirage13–7-0.0714%18 Jul
dust216–140.0015%17 Jul
mirage13–9-0.0218%16 Jul
nuke7–13-0.0517%15 Jul
ancient10–13-0.039%15 Jul
nuke13–6-0.0314%15 Jul
cache12–16-0.0318%13 Jul
ancient11–13-0.0511%13 Jul
dust28–130.0415%13 Jul
mirage13–11-0.076%25 Jun
anubis13–7-0.0219%25 Jun
ancient9–13-0.0814%20 Jun
mirage12–16-0.069%18 Jun
ancient10–13-0.108%14 Jun
mirage6–130.0711%14 Jun
mirage13–30.0425%14 Jun
ancient7–130.0312%12 Jun
inferno13–30.0311%9 Jun
inferno13–10-0.0210%9 Jun
ancient9–13-0.0113%7 Jun
inferno16–12-0.059%7 Jun
nuke10–13-0.0918%7 Jun
mirage11–13-0.0317%6 Jun
ancient9–13-0.0216%6 Jun
dust213–8-0.0210%6 Jun
mirage13–5-0.0610%6 Jun
ancient13–8-0.0120%6 Jun
overpass11–13-0.048%6 Jun
anubis5–13-0.0432%6 Jun
anubis10–13-0.028%6 Jun
inferno16–12-0.0113%4 Jun
nuke13–110.0222%4 Jun
dust213–11-0.0218%2 Jun
nuke13–8-0.0217%31 May
ancient11–13-0.0715%31 May
ancient12–16-0.0614%31 May
ancient10–13-0.049%31 May
nuke8–13-0.0116%31 May
ancient13–50.0122%30 May
ancient13–100.0114%28 May
dust210–130.0220%28 May
ancient13–100.0210%25 May
inferno13–7-0.0114%24 May
ancient6–13-0.0618%24 May
mirage13–110.0411%24 May
mirage3–13-0.100%23 May
nuke16–13-0.0321%22 May
inferno11–13-0.0518%21 May
mirage4–13-0.0816%20 May
dust29–13-0.0514%20 May
ancient13–11-0.099%20 May
mirage13–40.0221%19 May
nuke13–4-0.0215%19 May
dust24–130.0122%19 May
anubis6–13-0.0816%19 May
anubis15–150.0017%15 May
ancient10–130.0417%15 May
mirage7–13-0.0221%11 May
dust213–7-0.0315%11 May
inferno13–50.1324%11 May
nuke8–13-0.0120%11 May
cache13–40.0319%11 May
overpass8–130.0313%7 May
cache13–60.0326%3 May
inferno15–15-0.0510%3 May
mirage7–13-0.0410%3 May
inferno13–7-0.0323%3 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 →