Scherzwaffle — CS2 Stats

76561198806142186[U:1:845876458]✓ No bans

483Tracked matches67%Win rate2022Tracked since
525Hours in CS9Hrs last 2 wks
CSDB Rating4.9 Developing
Ladder ranks via Leetify

Performance scores

Aim55
Positioning46
Utility20

0–100 skill scores via Leetify.

Recent form

HOT53425Last 10053%Win rateWWWWWWLLWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Aim5.5
Aggression3.3
Utility2.0
Positioning4.6
Opening Duels0.0

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 70% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower aim profile; 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

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. 644ms 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

Aim5.5
Positioning4.6
Utility2.0
Mechanics6.4
Opening Duels0.4
Win Impact10.0

Composite 4.9/10 (Developing), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time653ms+20ms
first ⅓ avg 633ms → last ⅓ avg 653ms
Headshot accuracy15.4%+0.1%
first ⅓ avg 15.3% → 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

0.20Best rating — cache 6–0
130Biggest win — nuke
6Longest win streak
W6Current streak
33In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 80% over 5vertigoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC1761135%-0.01
cacheA1610663%-0.01
ancientS128467%-0.01
officeD103730%0.01
anubisS97278%-0.01
vertigoD82625%-0.00
nukeS64267%-0.01
dust2S54180%-0.01
overpassC52340%0.03
trainA53260%-0.00
mirage21150%-0.05
boulder1010%0.09
shelter110100%-0.01
italy110100%-0.05
stronghold110100%0.01
alpine1010%0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,973Lifetime kills
0.90K/D
843Matches
37.6%Match win rate
38.5%Headshot %
5.2%Shot accuracy
1,336MVPs
269Hours (in match)
622Bombs planted
148Bombs defused

Most-used weapons

Lifetime map wins

958inferno
543nuke
536office
488dust2
402vertigo
163train
62italy
41lake

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.

14.0%Headshot accuracy
34.0%Accuracy (enemy spotted)
35.0%Spray accuracy
78.9%Counter-strafing
10.2°Preaim
644msReaction time
22.2%T opening success
33.3%CT opening success
0.16Enemies flashed / flash
2.9%Flash assists
5.56HE damage / grenade
3.64Flashes / 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 13.9797% — 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 0.1618 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 22.2314% — below the 40% mark we flag

Spend your practice time on Vertigo

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–50.0212%28 Aug
ancient16–14-0.039%27 Aug
ancient13–7-0.0111%26 Aug
nuke13–30.056%26 Aug
dust213–10-0.007%23 Aug
mirage16–14-0.0315%20 Aug
inferno9–13-0.038%20 Aug
ancient5–130.0118%19 Aug
inferno13–1-0.0114%15 Aug
ancient13–10-0.0116%11 Aug
vertigo8–130.029%29 Jul
vertigo13–1-0.017%29 Jul
vertigo9–13-0.028%28 Jul
ancient5–13-0.1211%25 Jul
ancient13–10-0.0112%24 Jul
anubis13–80.0425%22 Jul
anubis13–80.067%22 Jul
inferno9–4-0.0621%20 Jul
inferno9–30.1221%20 Jul
inferno7–13-0.0422%20 Jul
ancient8–13-0.0916%16 Jul
cache13–70.0224%16 Jul
dust213–6-0.0118%16 Jul
inferno9–130.0115%15 Jul
cache13–2-0.0320%15 Jul
cache6–00.2050%15 Jul
boulder7–130.0914%13 Jul
shelter13–6-0.0113%13 Jul
ancient10–13-0.0512%11 Jul
cache13–4-0.0215%11 Jul
inferno7–90.0019%11 Jul
office13–40.1925%9 Jul
ancient13–10-0.0010%8 Jul
office13–7-0.045%8 Jul
overpass12–12-0.0213%7 Jul
cache9–13-0.0316%7 Jul
inferno11–13-0.0521%6 Jul
nuke13–00.0317%6 Jul
inferno8–13-0.0210%26 Jun
anubis13–10-0.0418%24 Jun
office2–13-0.0622%24 Jun
anubis0–4-0.060%24 Jun
dust213–7-0.0219%22 Jun
office7–13-0.0816%18 Jun
train13–80.0429%17 Jun
train13–8-0.0413%17 Jun
cache13–5-0.0518%10 Jun
anubis13–11-0.0514%9 Jun
ancient13–20.0624%9 Jun
nuke8–13-0.0816%5 Jun
cache1–13-0.032%4 Jun
anubis13–20.000%3 Jun
vertigo13–50.0914%3 Jun
vertigo8–130.0122%3 Jun
cache13–9-0.0314%29 May
anubis13–7-0.0711%28 May
anubis13–10-0.0110%26 May
italy13–8-0.0522%21 May
cache10–13-0.0410%21 May
office6–130.0623%16 May
mirage8–13-0.0713%13 May
ancient13–00.1827%13 May
nuke13–2-0.045%13 May
office13–50.009%13 May
cache6–130.0032%9 May
cache6–13-0.095%9 May
nuke9–5-0.0727%9 May
cache13–90.0511%9 May
cache13–10-0.0221%8 May
cache13–10.0010%7 May
cache13–4-0.0411%7 May
cache10–13-0.0118%7 May
ancient13–7-0.0112%5 May
anubis13–16-0.0115%4 May
inferno12–16-0.078%27 Apr
inferno12–12-0.0416%26 Apr
dust29–13-0.0218%26 Apr
train4–13-0.0519%23 Apr
train4–130.0119%23 Apr
train13–60.0214%23 Apr
inferno13–7-0.0113%18 Apr
dust213–70.0318%18 Apr
inferno13–70.0124%15 Apr
vertigo5–13-0.059%8 Apr
nuke15–150.0412%31 Mar
office12–120.0119%27 Mar
inferno3–13-0.0520%24 Mar
stronghold10–10.0129%22 Mar
vertigo3–13-0.0913%22 Mar
office12–120.0914%21 Mar
office8–13-0.0610%21 Mar
overpass10–130.0610%12 Mar
overpass11–130.0919%12 Mar
inferno2–130.035%12 Mar
overpass13–7-0.0415%8 Mar
inferno5–9-0.0124%5 Mar
alpine4–130.0316%5 Mar
overpass13–20.078%5 Mar
office1–13-0.0421%5 Mar
vertigo2–130.0213%16 Feb

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 →