Kasper

Kasper — CS2 Stats

FI76561198279968961[U:1:319703233]Steam profile ↗✓ No bans

178Tracked matches39%Win rate2020Tracked since
2,183Hours in CS10Hrs last 2 wks
CSDB Rating2.0 LearningPositional Player
Premier CS Rating3,410Grey band · top ~85.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (2 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 56 days played since 14 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 3,410 +873 2 May18 Sept · 21 days played
2,5375,562peak 5,5622 May18 Sept
5,562Peak Premier in tracked matches
56Days played since 2025-08-14

Premier CS Rating

  • 2,152 below peak (5,562)
  • -2,152 over 90 days
  • Next: Light Blue band at 5,000 1,590 to go
  • Reached: Light Blue band

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,468), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate47.3%38.1%39.9%above
Shot accuracy15.0%3.7%6.9%above
Kill/death ratio0.980.830.92above
Match win rate41.1%40.1%42.3%1.2% short

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKasperPREMIER3,410 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim17
Positioning37
Utility23

0–100 skill scores via Leetify.

Recent form

COLD33616Last 10033%Win rateWLLLWLLWLL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −0.9pp headshot accuracy · −45ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 630ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 633ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 655ms

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 PlayerPositioning stands above the rest of this profile (+1.2 against its own average).

Aim1.7
Utility2.3
Positioning3.7
Opening Duels1.4

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

jL

Plays most like jL 65% 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

Reaction time. 663ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.7
Positioning3.7
Utility2.3
Mechanics3.2
Opening Duels0.3
Win Impact1.4

Composite 2.0/10 (Learning), 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-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time675ms−83ms
first ⅓ avg 758ms → last ⅓ avg 675ms
Headshot accuracy10.1%−3.7%
first ⅓ avg 13.8% → last ⅓ avg 10.1%

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

0.07Best match rating · 13–4 · inferno, 4 Sept
42%Best headshot accuracy · 13–1 · train, 13 Dec
484msFastest reaction time · 1–13 · dust2, 6 Mar
13–1Biggest win · train, 13 Dec

Across the last 100 tracked matches.

Highlights

3Longest win streak
46In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 41% over 17cacheWeakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
nukeC29111838%-0.04
mirageC1771041%-0.04
infernoC1771041%-0.04
cacheD121118%-0.05
ancientD102820%-0.06
dust2D71614%-0.06
anubisD62433%-0.03
overpass110100%-0.04
train110100%0.02

Across the last 100 tracked matches.

Lifetime stats

39,163Lifetime kills
0.98K/D · Top 25% of Grey band
2,024Matches
41.1%Match win rate · Top 50% of Grey band
47.3%Headshot % · Top 25% of Grey band
15.0%Shot accuracy · Top 10% of Grey band
4,358MVPs
862Hours (in match)
2,190Bombs planted
452Bombs defused

Most-used weapons

Lifetime map wins

3,029inferno
1,999nuke
1,678dust2
1,432train
455vertigo
433cbble
94office
42lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.9%Headshot accuracy
27.4%Accuracy (enemy spotted)
29.3%Spray accuracy
64.6%Counter-strafing
12.8°Preaim
663msReaction time
29.8%T opening success
32.6%CT opening success
0.38Enemies flashed / flash
4.2%Flash assists
5.17HE damage / grenade
6.09Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8092° — above the 12° mark we flag

    Aim Training
  2. 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 9.9105% — below the 15% mark we flag

    Aim Training
  3. 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 0.3813 — 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.

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage13–100.0211%18 Sept
dust23–13-0.065%10 Sept
cache2–13-0.073%8 Sept
inferno10–13-0.1115%8 Sept
nuke13–9-0.0513%5 Sept
anubis6–13-0.105%5 Sept
dust28–13-0.088%5 Sept
inferno13–9-0.0217%5 Sept
ancient12–16-0.044%5 Sept
anubis7–13-0.0610%4 Sept
ancient13–3-0.0411%4 Sept
nuke15–150.014%4 Sept
inferno13–40.079%4 Sept
cache10–130.018%4 Sept
nuke16–140.016%4 Sept
dust211–13-0.0113%2 Sept
nuke11–13-0.039%2 Sept
ancient13–9-0.022%2 Sept
mirage13–8-0.0815%2 Sept
nuke13–4-0.0621%1 Sept
mirage7–13-0.0613%1 Sept
nuke13–6-0.0512%1 Sept
ancient7–13-0.0711%31 Aug
cache13–4-0.0218%31 Aug
cache3–130.0016%26 Aug
ancient15–15-0.069%22 Aug
anubis3–13-0.0321%17 Aug
inferno2–13-0.076%16 Aug
anubis9–13-0.0210%16 Aug
mirage6–13-0.114%11 Aug
mirage15–15-0.0112%6 Aug
inferno13–7-0.033%6 Aug
inferno13–11-0.0512%6 Aug
anubis5–20.0016%6 Aug
nuke1–13-0.0513%5 Aug
cache11–13-0.0310%5 Aug
nuke4–13-0.0313%5 Aug
cache6–13-0.0513%4 Aug
nuke13–60.017%4 Aug
mirage7–130.000%4 Aug
nuke3–13-0.1010%25 Jul
inferno8–13-0.098%25 Jul
nuke4–13-0.0518%22 Jul
mirage7–13-0.079%22 Jul
cache2–13-0.1015%22 Jul
inferno16–14-0.0012%21 Jul
nuke10–13-0.058%14 Jul
dust22–13-0.086%26 Jun
mirage13–7-0.014%25 Jun
inferno7–130.0313%25 Jun
inferno13–8-0.026%14 Jun
mirage13–9-0.057%14 Jun
nuke5–13-0.090%10 Jun
mirage4–13-0.0415%4 Jun
nuke5–12-0.073%3 Jun
inferno6–13-0.137%2 Jun
nuke9–13-0.065%2 Jun
nuke13–11-0.0414%1 Jun
mirage1–13-0.1412%1 Jun
inferno16–13-0.018%1 Jun
mirage1–13-0.098%31 May
anubis13–7-0.0016%26 May
inferno6–13-0.076%23 May
mirage13–90.0113%23 May
ancient1–13-0.1015%20 May
ancient8–13-0.049%11 May
cache4–13-0.0213%10 May
cache12–12-0.0724%8 May
inferno7–13-0.0615%8 May
nuke13–40.006%8 May
nuke13–20.0016%2 May
ancient1–13-0.0821%30 Apr
cache3–13-0.0610%30 Apr
cache4–13-0.046%30 Apr
cache2–13-0.129%29 Apr
overpass9–6-0.047%26 Apr
nuke13–60.0322%26 Apr
dust212–16-0.034%25 Apr
nuke11–13-0.047%24 Apr
ancient8–13-0.0511%22 Apr
inferno5–13-0.0316%22 Apr
mirage13–40.0415%22 Apr
nuke11–13-0.0411%20 Apr
mirage13–8-0.0328%20 Apr
ancient10–13-0.069%17 Apr
inferno11–13-0.0614%17 Apr
nuke15–15-0.057%13 Apr
inferno10–13-0.043%10 Apr
nuke10–13-0.100%7 Apr
nuke13–20.0525%7 Apr
dust213–7-0.0319%7 Mar
nuke15–15-0.113%7 Mar
dust21–13-0.1233%6 Mar
mirage9–13-0.0721%14 Feb
mirage7–13-0.048%26 Dec
train13–10.0242%13 Dec
nuke13–5-0.0315%12 Dec
nuke1–13-0.0613%28 Nov
nuke9–13-0.077%18 Aug
nuke10–13-0.018%14 Aug

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 →