slide666 — CS2 Stats

76561198937279350[U:1:977013622]

1,966Tracked matches53%Win rate2020Tracked since
5,333Hours in CS20Hrs last 2 wks
CSDB Rating7.1 StrongAggressive Rifler
WingmanSupreme Master First Class
Ladder ranks via Leetify

Performance scores

Aim92
Positioning64
Utility31

0–100 skill scores via Leetify.

Recent form

COLD54451Last 10054%Win rateLLLWWLLWLL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim9.2
Aggression8.9
Utility3.1
Positioning6.4
Opening Duels5.6
Clutch3.6

Sharp aimerExcellent counter-strafingLimited utility dependence

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

donk

Plays most like donk 90% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

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. 633ms 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

Aim9.2
Positioning6.4
Utility3.1
Mechanics8.8
Opening Duels5.6
Win Impact6.1

Composite 7.1/10 (Strong), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time622ms−23ms
first ⅓ avg 645ms → last ⅓ avg 622ms
Headshot accuracy39.0%+8.4%
first ⅓ avg 30.7% → last ⅓ avg 39.0%

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

0.33Best rating — inferno 9–1
130Biggest win — inferno
7Longest win streak
L3Current streak
53In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 88% over 8trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA29161355%0.02
dust2A2011955%0.03
anubisA95456%0.02
vertigoB84450%0.01
cacheS87188%0.07
trainD72529%0.02
officeB63350%-0.01
ancient4040%-0.04
overpass31233%-0.04
nuke32167%0.04
inferno330100%0.18

Across the last 100 tracked matches.

Lifetime stats

252,432Lifetime kills
1.04K/D
6,010Matches
53.7%Match win rate · Top 10% of tracked players
70.1%Headshot % · Top 5% of tracked players
16.3%Shot accuracy · Top 25% of tracked players
25,775MVPs
13,862Hours (in match)
4,079Bombs planted
2,740Bombs defused

Most-used weapons

AK-47125,366
AWP10,799
Knife3,857
SG 5532,661
FAMAS2,493

Lifetime map wins

10,468inferno
9,125dust2
4,236nuke
4,134vertigo
2,079train
147cbble
139office
59lake

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

Faceit stats

Combat

1,659Matches
54%Win rate
1.12Avg K/D
81.0ADR
59%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage24952%1.1217.5
Ancient17750%1.0916.4
Anubis10857%1.0515.9
Dust27050%1.0816.8
Overpass5968%1.1317.0
Nuke4648%1.1216.9
Inferno1932%0.8512.8
Train1070%0.9915.3

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.

37.6%Headshot accuracy
35.6%Accuracy (enemy spotted)
39.2%Spray accuracy
89.6%Counter-strafing
9.6°Preaim
633msReaction time
47.9%T opening success
57.1%CT opening success
0.41Enemies flashed / flash
5.2%Flash assists
9.43HE damage / grenade
2.52Flashes / 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 0.4077 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust29–130.0820%23 Aug
dust23–13-0.0624%23 Aug
ancient9–13-0.0425%23 Aug
mirage13–10-0.0125%23 Aug
dust213–40.1231%23 Aug
mirage11–13-0.0129%23 Aug
vertigo11–13-0.0031%23 Aug
vertigo13–90.0631%22 Aug
anubis2–13-0.0148%22 Aug
mirage10–130.0225%22 Aug
dust213–40.0438%22 Aug
vertigo13–10-0.0144%22 Aug
cache13–40.1244%22 Aug
overpass4–9-0.1127%14 Aug
vertigo9–50.1047%14 Aug
train7–13-0.0053%14 Aug
train13–90.0750%14 Aug
vertigo1–9-0.1063%9 Aug
office13–70.1247%9 Aug
dust213–90.0636%9 Aug
nuke4–13-0.0235%3 Aug
mirage8–130.0230%3 Aug
cache13–70.1260%29 Jul
mirage13–50.1650%29 Jul
vertigo4–130.0020%29 Jul
mirage3–13-0.0358%23 Jul
dust213–8-0.0243%22 Jul
dust213–100.0550%22 Jul
mirage13–90.0639%22 Jul
inferno9–10.3350%27 May
anubis13–40.0433%27 May
dust24–130.0045%21 May
office6–13-0.0838%21 May
mirage13–7-0.0235%21 May
mirage16–140.0330%15 May
mirage13–90.1441%14 May
cache13–30.1537%14 May
office9–130.0059%13 May
office9–13-0.0130%13 May
cache12–12-0.0138%11 May
cache13–110.0230%11 May
cache13–80.0448%30 Apr
cache13–90.0533%29 Apr
cache13–10.0935%29 Apr
anubis8–13-0.0114%25 Apr
train13–30.0647%25 Apr
train9–130.0441%24 Apr
train4–13-0.0633%24 Apr
train9–130.0226%24 Apr
vertigo13–70.0926%16 Apr
inferno13–90.1330%16 Apr
mirage13–4-0.0714%16 Apr
mirage13–90.0333%15 Apr
inferno13–00.0925%15 Apr
anubis16–13-0.0326%10 Apr
dust213–100.0534%10 Apr
mirage9–130.0430%10 Apr
mirage3–13-0.0715%4 Apr
mirage13–10-0.0129%4 Apr
dust210–130.0229%4 Apr
ancient5–13-0.0538%3 Apr
anubis13–100.0531%2 Apr
anubis13–40.1624%2 Apr
mirage13–00.0630%31 Mar
dust213–70.1339%31 Mar
mirage13–11-0.0034%26 Mar
dust28–130.0835%25 Mar
office13–7-0.0325%25 Mar
office13–5-0.0631%24 Mar
anubis2–13-0.0135%24 Mar
dust20–130.0723%23 Mar
mirage13–30.1337%23 Mar
dust213–4-0.0133%23 Mar
dust28–130.0135%16 Mar
mirage9–13-0.0226%15 Mar
nuke13–90.1231%15 Mar
train8–130.0243%14 Mar
vertigo8–13-0.0430%12 Mar
mirage10–130.0030%12 Mar
anubis16–120.0048%12 Mar
mirage13–9-0.0328%11 Mar
dust213–90.0323%6 Mar
dust211–130.0333%2 Mar
mirage1–130.0437%2 Mar
mirage16–140.0226%1 Mar
nuke13–50.0338%1 Mar
mirage13–4-0.0325%28 Feb
overpass13–8-0.0132%28 Feb
mirage8–130.0825%15 Feb
mirage5–130.0128%15 Feb
dust28–13-0.0433%14 Feb
mirage6–13-0.0919%12 Feb
ancient5–13-0.0817%12 Feb
overpass9–13-0.0033%6 Feb
dust216–140.0231%5 Feb
mirage8–13-0.0046%1 Feb
dust213–3-0.0338%23 Jan
anubis12–160.0222%23 Jan
mirage13–20.0920%23 Jan
ancient7–130.0029%18 Jan

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →