Assthur

Assthur — CS2 Stats

DE76561198142702605[U:1:182436877]Steam profile ↗✓ No bans

573Tracked matches50%Win rate2021Tracked since
1,116Hours in CS
CSDB Rating5.9 SolidClutch Specialist
Ladder ranks via Leetify

Performance scores

Aim66
Positioning55
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY45–44–11Last 10045%Win rateTLLWWLWLWW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +3.9pp headshot accuracy · −13ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 631ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 599ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.1 against its own average).

Aim6.6
Utility5.4
Positioning5.5
Opening Duels2.8
Clutch10.0

Strong CT-side openerReliable in 1v1s

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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 53% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim6.6
Positioning5.5
Utility5.4
Mechanics7.9
Opening Duels2.9
Win Impact5.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time609ms+28ms
first ⅓ avg 580ms → last ⅓ avg 609ms
Headshot accuracy15.5%−3.8%
first ⅓ avg 19.3% → last ⅓ avg 15.5%

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

0.13Best match rating · 7–13 · overpass, 8 Jul →
100%Best headshot accuracy · 0–2 · dust2, 25 Oct →
430msFastest reaction time · 5–13 · inferno, 24 Oct →
13–0Biggest win · boulder, 17 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 63% over 16infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C3012–1840%0.00
mirageA1610–663%0.01
nukeB158–753%0.01
infernoD124–833%-0.01
ancientB84–450%0.00
vertigo—41–325%-0.01
cache—42–250%0.05
overpass—30–30%0.03
train—21–150%-0.00
boulder—11–0100%0.06
fachwerk—11–0100%0.01
anubis—10–10%-0.10
shelter—10–10%-0.05
stronghold—10–10%-0.04
agency—11–0100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,246Lifetime kills
1.08K/D · Top 50% of tracked players
3,214Matches
41.8%Match win rate
45.9%Headshot % · Top 50% of tracked players
13.2%Shot accuracy · Top 50% of tracked players
7,637MVPs
1,116Hours (in match)
2,852Bombs planted
879Bombs defused

Most-used weapons

Lifetime map wins

3,398inferno
3,136dust2
1,818nuke
1,556vertigo
1,156office
655train
497lake
135italy

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

Faceit stats

Combat

2Matches
100%Win rate
1.23Avg K/D
73.0ADR
47%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%0.7911.0
Ancient1100%1.6710.0

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.

15.5%Headshot accuracy
31.4%Accuracy (enemy spotted)
39.3%Spray accuracy
85.8%Counter-strafing
10.0°Preaim
599msReaction time
23.5%T opening success
53.3%CT opening success
0.45Enemies flashed / flash
5.3%Flash assists
7.71HE damage / grenade
11.72Flashes / 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 0.4466 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 23.4968% — below the 40% mark we flag

Spend your practice time on Inferno

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 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass12–12-0.0113%20 Jul →
dust28–130.0315%19 Jul →
inferno5–13-0.068%18 Jul →
nuke13–20.0623%18 Jul →
vertigo13–1-0.0617%18 Jul →
dust29–13-0.0120%17 Jul →
cache13–60.0221%17 Jul →
nuke9–130.0116%17 Jul →
boulder13–00.0624%17 Jul →
fachwerk13–60.014%16 Jul →
nuke9–4-0.016%16 Jul →
nuke6–2-0.0220%16 Jul →
mirage13–11-0.0217%16 Jul →
inferno13–6-0.0119%16 Jul →
anubis5–13-0.1016%15 Jul →
cache13–30.019%15 Jul →
mirage9–130.025%15 Jul →
dust213–7-0.009%15 Jul →
shelter8–13-0.059%13 Jul →
nuke7–9-0.0410%13 Jul →
dust27–13-0.0017%10 Jul →
cache10–130.0722%10 Jul →
dust213–8-0.0618%10 Jul →
overpass7–130.1322%8 Jul →
cache12–120.1216%30 Jun →
overpass6–13-0.049%22 Jun →
train12–12-0.0733%22 Jun →
stronghold12–12-0.0419%23 Jan →
inferno10–13-0.026%12 Jan →
mirage12–16-0.0415%12 Jan →
mirage13–5-0.0417%12 Jan →
train13–100.0614%2 Jan →
dust212–120.0624%2 Jan →
ancient13–7-0.0115%1 Jan →
mirage13–40.0824%1 Jan →
ancient4–110.0720%1 Dec →
dust211–13-0.0012%30 Nov →
ancient13–11-0.0226%30 Nov →
inferno11–130.0612%26 Nov →
dust213–3-0.0320%20 Nov →
dust213–160.0013%20 Nov →
dust213–10.1013%19 Nov →
nuke5–130.0544%10 Nov →
mirage5–130.0629%10 Nov →
ancient13–5-0.027%10 Nov →
dust211–130.0416%6 Nov →
nuke13–30.1112%6 Nov →
dust29–13-0.0216%5 Nov →
dust210–130.0225%5 Nov →
mirage10–13-0.0117%5 Nov →
dust29–13-0.0422%5 Nov →
inferno9–13-0.0813%4 Nov →
mirage12–16-0.0118%4 Nov →
ancient7–13-0.0114%3 Nov →
mirage13–20.1119%31 Oct →
mirage13–8-0.0119%31 Oct →
dust213–20.0721%31 Oct →
nuke13–20.0217%31 Oct →
nuke13–110.0320%31 Oct →
dust213–60.0817%31 Oct →
dust23–13-0.0246%30 Oct →
dust212–12-0.0513%30 Oct →
mirage13–40.0110%30 Oct →
nuke12–120.0110%29 Oct →
mirage13–5-0.0726%29 Oct →
nuke2–9-0.085%29 Oct →
agency13–110.0816%29 Oct →
nuke2–13-0.0524%29 Oct →
dust27–13-0.0621%29 Oct →
dust27–00.0529%28 Oct →
dust213–70.0519%28 Oct →
dust213–50.0326%28 Oct →
ancient6–130.0215%27 Oct →
inferno13–6-0.0230%27 Oct →
mirage13–70.029%27 Oct →
nuke13–70.0914%27 Oct →
dust213–8-0.0111%27 Oct →
dust213–40.0013%27 Oct →
dust213–90.0220%27 Oct →
vertigo6–130.0517%27 Oct →
inferno7–13-0.0227%26 Oct →
ancient13–10.0519%26 Oct →
inferno12–120.0519%26 Oct →
inferno13–10-0.0216%25 Oct →
dust20–2-0.03100%25 Oct →
dust26–13-0.0212%24 Oct →
nuke13–100.0021%24 Oct →
inferno5–13-0.0816%24 Oct →
vertigo12–12-0.0114%23 Oct →
inferno13–70.0613%23 Oct →
vertigo9–13-0.048%23 Oct →
mirage8–130.0514%21 Oct →
dust25–13-0.0218%21 Oct →
inferno12–12-0.0216%19 Oct →
ancient6–13-0.0415%15 Oct →
nuke15–150.0116%14 Oct →
dust210–13-0.0215%14 Oct →
mirage13–8-0.0415%12 Oct →
mirage13–60.0315%12 Oct →
dust20–8-0.100%12 Oct →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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