Kasp<3r

Kasp<3r — CS2 Stats

FI76561198216590740[U:1:256325012]Steam profile ↗✓ No bans

482Tracked matches43%Win rate2023Tracked since
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating6,734Light Blue band · top ~70.5% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 6,734 -5,508 21 Apr – 5 Oct · 24 days played
6,36312,577peak 12,57721 Apr5 Oct
12,577Peak Premier in tracked matches
46Days played since 2026-04-21

Premier CS Rating

  • 5,843 below peak (12,577)
  • -1,655 over 30 days · declining
  • Next: Blue band at 10,000 — 3,266 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGKasp<3rFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER6,734 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning59
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLLWWWLWLLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +1.7pp headshot accuracy · +18ms 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 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 617ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 634ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 625ms

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).

Aim6.1
Utility2.6
Positioning5.9
Opening Duels3.5
Clutch5.0

Strong CT-side openerLimited 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.

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 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 622ms 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

Aim6.1
Positioning5.9
Utility2.6
Mechanics6.9
Opening Duels4.8
Win Impact2.6

Composite 4.7/10 (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 rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time630ms−19ms
first ⅓ avg 649ms → last ⅓ avg 630ms
Headshot accuracy14.5%−1.3%
first ⅓ avg 15.8% → last ⅓ avg 14.5%

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 · 7–0 · dust2, 21 Sept →
40%Best headshot accuracy · 7–0 · dust2, 21 Sept →
516msFastest reaction time · 13–9 · mirage, 3 Oct →
13–3Biggest win · inferno, 30 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
7–2In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 60% over 5dust2Weakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
mirageC2511–1444%-0.02
nukeB2413–1154%-0.00
dust2C197–1237%-0.01
infernoB115–645%-0.03
cacheB105–550%-0.02
anubisA53–260%-0.04
ancient—42–250%-0.02
vertigo—10–10%-0.10
boulder—10–10%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

103Matches
57%Win rate
0.74Avg K/D
59.4ADR
42%Headshot %

Clutches & streaks

45%1v1 clutch win
12%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2654%0.679.7
Cache1788%0.8111.5
Nuke1650%0.6911.2
Anubis1457%0.8312.9
Ancient1020%0.6110.3
Inferno956%0.759.0
Dust2560%1.0314.6
Overpass4100%0.9513.3

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.

13.5%Headshot accuracy
33.3%Accuracy (enemy spotted)
32.2%Spray accuracy
80.8%Counter-strafing
8.2°Preaim
622msReaction time
45.6%T opening success
53.0%CT opening success
0.45Enemies flashed / flash
3.8%Flash assists
6.59HE damage / grenade
4.09Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.5263% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4456 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0320%11 Oct →
nuke4–130.1022%10 Oct →
cache13–90.0212%5 Oct →
mirage13–9-0.0015%3 Oct →
nuke13–4-0.078%3 Oct →
vertigo5–13-0.1018%3 Oct →
nuke13–6-0.0611%1 Oct →
mirage9–13-0.0510%1 Oct →
mirage8–13-0.0210%30 Sept →
inferno13–30.0611%30 Sept →
nuke13–30.1123%28 Sept →
dust215–150.0316%28 Sept →
nuke13–6-0.007%28 Sept →
cache10–13-0.0212%28 Sept →
nuke5–130.0217%28 Sept →
inferno9–13-0.0513%27 Sept →
mirage1–13-0.120%27 Sept →
nuke13–5-0.0318%27 Sept →
nuke7–13-0.018%27 Sept →
mirage13–11-0.064%22 Sept →
mirage12–16-0.0514%22 Sept →
inferno10–13-0.0410%22 Sept →
ancient6–13-0.0211%22 Sept →
cache6–13-0.0515%22 Sept →
mirage16–120.018%22 Sept →
dust27–00.1340%21 Sept →
mirage15–150.0219%17 Sept →
nuke7–130.0215%17 Sept →
nuke13–70.0414%14 Sept →
dust25–13-0.0424%9 Sept →
nuke7–0-0.0122%9 Sept →
dust24–13-0.037%9 Sept →
mirage13–4-0.0226%7 Sept →
cache13–110.0716%7 Sept →
nuke13–6-0.0112%23 Aug →
nuke4–13-0.0213%23 Aug →
dust212–16-0.0415%21 Aug →
cache16–14-0.0311%19 Aug →
inferno16–14-0.0615%18 Aug →
dust213–40.0127%18 Aug →
nuke10–130.0216%16 Aug →
dust25–13-0.0130%15 Aug →
inferno8–13-0.0218%13 Aug →
inferno6–13-0.0523%13 Aug →
mirage2–11-0.057%13 Aug →
nuke10–13-0.0821%13 Aug →
dust25–130.0121%11 Aug →
cache11–13-0.0211%8 Aug →
nuke13–50.0228%8 Aug →
mirage4–13-0.0923%8 Aug →
anubis16–14-0.0811%7 Aug →
inferno16–130.0111%7 Aug →
mirage8–13-0.119%6 Aug →
dust26–13-0.0429%6 Aug →
dust213–110.0117%5 Aug →
mirage13–30.0120%5 Aug →
dust213–10-0.0127%5 Aug →
mirage3–13-0.0518%5 Aug →
dust213–4-0.0225%4 Aug →
anubis10–10.0018%1 Aug →
dust24–13-0.0419%1 Aug →
mirage13–60.0113%28 Jul →
nuke9–13-0.0512%28 Jul →
cache13–100.0419%27 Jul →
ancient13–80.0015%27 Jul →
mirage6–12-0.0321%27 Jul →
dust216–13-0.0014%20 Jul →
mirage8–13-0.0223%20 Jul →
nuke13–6-0.0226%20 Jul →
boulder2–13-0.0815%20 Jul →
mirage13–3-0.0317%20 Jul →
ancient8–13-0.0510%20 Jul →
inferno13–9-0.069%17 Jul →
nuke13–30.0018%17 Jul →
dust21–13-0.0726%17 Jul →
mirage13–8-0.0018%17 Jul →
nuke11–13-0.057%16 Jul →
nuke3–13-0.0215%16 Jul →
cache13–8-0.0517%13 Jul →
dust28–130.0211%13 Jul →
nuke6–13-0.0036%9 Jul →
mirage10–13-0.0113%9 Jul →
cache2–13-0.0827%9 Jul →
cache4–13-0.1113%22 Jun →
mirage13–30.0421%22 Jun →
mirage1–13-0.068%22 Jun →
mirage13–50.0430%26 May →
mirage13–40.0216%18 May →
dust210–13-0.0114%11 May →
dust26–13-0.0318%10 May →
ancient13–7-0.017%7 May →
mirage8–130.0120%7 May →
anubis3–13-0.0218%6 May →
anubis16–130.0115%5 May →
inferno6–13-0.074%5 May →
nuke13–80.0315%1 May →
nuke13–10-0.0112%1 May →
dust213–11-0.0111%22 Apr →
anubis9–13-0.093%21 Apr →
inferno13–10-0.0411%21 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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