Schnitzel

Schnitzel — CS2 Stats

US76561198057940902[U:1:97675174]Steam profile ↗

2,100Tracked matches63%Win rate2020Tracked since
5,205Hours in CS17Hrs last 2 wks
CSDB Rating6.0 SolidHybrid Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate35.1%42.1%42.5%7.4% short
Shot accuracy17.3%12.1%10.9%above
Kill/death ratio1.430.990.99above
Match win rate59.2%43.9%44.2%above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSchnitzelFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning50
Utility55

0–100 skill scores via Leetify.

Recent form

COLD612712Last 10061%Win rateLWLLTLLWLW

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.4
Aggression5.5
Utility5.5
Positioning5.0
Opening Duels0.6

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 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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. 595ms 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

Aim7.4
Positioning5.0
Utility5.5
Mechanics6.3
Opening Duels0.7
Win Impact9.3

Composite 6.0/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time588ms−76ms
first ⅓ avg 664ms → last ⅓ avg 588ms
Headshot accuracy17.1%+0.9%
first ⅓ avg 16.2% → last ⅓ avg 17.1%

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.

Highlights

0.20Best rating — poseidon 9–4
130Biggest win — mirage
6Longest win streak
72In matches decided by ≤2 rounds
1Overtime games

Map breakdown

shelterBest map · 83% over 6anubisWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
cacheB21101148%0.01
anubisC125742%0.02
infernoA116555%-0.02
vertigoS108280%0.03
nukeB63350%0.01
shelterS65183%0.03
dust2S64267%0.05
train43175%0.00
mirage43175%0.02
office31233%0.02
poseidon31233%0.04
boulder330100%0.02
warden330100%0.06
ancient220100%0.01
eldorado21150%0.00
alpine220100%0.03
fachwerk110100%0.02
overpass1010%0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

177,743Lifetime kills
1.43K/D · Top 5% of Level 3 players
10,452Matches
59.2%Match win rate · Top 5% of Level 3 players
35.1%Headshot %
17.3%Shot accuracy · Top 25% of Level 3 players
27,329MVPs
2,289Hours (in match)
4,967Bombs planted
3,906Bombs defused

Most-used weapons

AK-4749,919
AWP35,286
P2504,551
SSG 082,910
MP92,866

Lifetime map wins

12,765vertigo
10,827nuke
9,508dust2
8,774inferno
2,531office
2,268train
1,917cbble
415lake

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.

17.1%Headshot accuracy
36.5%Accuracy (enemy spotted)
41.5%Spray accuracy
78.3%Counter-strafing
9.3°Preaim
595msReaction time
29.1%T opening success
36.0%CT opening success
0.59Enemies flashed / flash
8.1%Flash assists
8.69HE damage / grenade
10.54Flashes / 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

    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 29.148% — below the 40% mark we flag

Spend your practice time on Anubis

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0419%29 Aug
cache13–60.045%26 Aug
vertigo5–13-0.086%23 Aug
cache6–110.0325%23 Aug
nuke12–120.0814%22 Aug
anubis2–13-0.0116%21 Aug
anubis0–13-0.0612%21 Aug
ancient13–3-0.009%19 Aug
inferno5–9-0.0717%19 Aug
shelter13–11-0.0224%18 Aug
anubis12–12-0.0012%18 Aug
office13–30.0712%17 Aug
inferno2–3-0.050%15 Aug
train13–60.0124%12 Aug
train9–10.0723%12 Aug
cache13–50.1416%10 Aug
dust27–130.0226%10 Aug
cache1–13-0.0420%10 Aug
cache1–6-0.0414%10 Aug
cache16–13-0.0121%3 Aug
nuke13–70.0513%3 Aug
inferno13–6-0.0224%3 Aug
dust213–70.0316%3 Aug
mirage13–50.0412%3 Aug
dust212–12-0.047%3 Aug
poseidon9–40.2026%21 Jul
office10–13-0.0322%20 Jul
train13–30.0318%17 Jul
inferno13–90.0230%16 Jul
cache13–70.0515%16 Jul
cache7–13-0.0423%15 Jul
mirage13–00.0017%14 Jul
vertigo13–80.0726%14 Jul
shelter13–100.0916%14 Jul
eldorado5–9-0.0015%14 Jul
inferno11–13-0.0423%13 Jul
ancient5–20.0113%13 Jul
anubis13–60.1117%13 Jul
inferno4–13-0.0114%12 Jul
cache7–13-0.048%12 Jul
nuke12–12-0.0315%12 Jul
boulder13–4-0.015%11 Jul
shelter13–90.0619%11 Jul
dust24–00.1923%11 Jul
cache7–13-0.0314%10 Jul
shelter13–30.0117%10 Jul
fachwerk13–90.0227%10 Jul
boulder13–100.0317%9 Jul
boulder13–110.0415%9 Jul
eldorado9–50.009%9 Jul
shelter13–100.0221%9 Jul
shelter12–120.0421%9 Jul
vertigo13–9-0.0412%7 Jul
cache13–110.0422%2 Jul
inferno13–10-0.0514%29 Jun
inferno13–110.0015%27 Jun
cache12–12-0.0131%27 Jun
train1–13-0.100%26 Jun
vertigo13–20.1216%26 Jun
poseidon8–8-0.0024%25 Jun
anubis13–10-0.0112%22 Jun
warden13–50.1210%22 Jun
nuke13–50.009%22 Jun
inferno12–12-0.028%21 Jun
anubis13–100.126%21 Jun
vertigo13–50.0116%21 Jun
warden13–80.0121%20 Jun
anubis6–13-0.0022%20 Jun
vertigo8–130.0338%31 May
anubis7–13-0.0512%29 May
alpine13–80.0216%25 May
warden13–10.0415%25 May
cache13–100.0120%25 May
anubis5–130.0120%25 May
vertigo13–110.1222%25 May
inferno12–12-0.0211%25 May
alpine13–90.0414%20 May
overpass4–130.1012%20 May
anubis13–70.0724%18 May
vertigo13–11-0.0113%18 May
dust213–70.0415%17 May
poseidon7–9-0.087%15 May
inferno13–90.019%8 May
vertigo13–30.066%8 May
anubis13–60.056%8 May
cache12–120.0724%7 May
nuke13–10-0.0310%7 May
nuke9–130.017%6 May
cache7–130.037%6 May
mirage1–13-0.0019%5 May
anubis5–13-0.0214%3 May
vertigo13–50.0510%1 May
cache13–10.0528%1 May
cache13–4-0.0417%1 May
cache12–12-0.0215%1 May
cache13–60.0212%30 Apr
cache13–80.0138%29 Apr
mirage13–60.035%25 Apr
dust213–80.0320%25 Apr
office12–120.0128%25 Apr

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →