Friedrich Nietzsche

Friedrich Nietzsche — CS2 Stats

76561197968366203[U:1:8100475]Steam profile ↗✓ No bans

906Tracked matches42%Win rate2021Tracked since
CSDB Rating3.2 LearningSupport
Premier CS Rating8,079Light Blue band · top ~64.1% of ranked players (population est.)
CSDB Leaderboard#36305 of 48932 tracked
Ladder ranks via Leetify

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CSDB.GGFriedrich NietzschePREMIER8,079 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim32
Positioning40
Utility77

0–100 skill scores via Leetify.

Recent form

COLD47476Last 10047%Win rateLWLLTLWWLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim3.2
Aggression4.6
Utility7.7
Positioning4.0
Opening Duels0.0

High utility contribution

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

Twistzz

Plays most like Twistzz 75% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Strengths

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim3.2
Positioning4.0
Utility7.7
Mechanics2.6
Opening Duels0.1
Win Impact2.4

Composite 3.2/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time625ms−74ms
first ⅓ avg 699ms → last ⅓ avg 625ms
Headshot accuracy10.6%+1.5%
first ⅓ avg 9.1% → last ⅓ avg 10.6%

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

0.11Best rating — train 8–13
130Biggest win — vertigo
5Longest win streak
62In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 83% over 6dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
cacheD1551033%-0.05
ancientB136746%-0.03
anubisB136746%-0.03
dust2D123925%-0.02
infernoC104640%-0.00
mirageS96367%-0.01
nukeC73443%-0.04
vertigoS65183%0.02
trainA53260%0.01
office43175%-0.01
overpass21150%-0.01
boulder21150%-0.05
italy110100%-0.04
shelter1010%-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.2%Headshot accuracy
30.4%Accuracy (enemy spotted)
35.9%Spray accuracy
61.7%Counter-strafing
11.0°Preaim
622msReaction time
28.1%T opening success
30.6%CT opening success
0.63Enemies flashed / flash
2.8%Flash assists
13.90HE damage / grenade
14.59Flashes / 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 11.1697% — below the 15% mark we flag

    Aim Training
  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 28.0504% — below the 40% mark we flag

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0314%30 Aug
dust213–110.0318%30 Aug
cache7–13-0.037%27 Aug
cache1–13-0.0419%27 Aug
cache12–12-0.1122%27 Aug
dust26–13-0.0414%27 Aug
mirage13–10-0.058%27 Aug
inferno13–60.022%27 Aug
inferno7–130.0017%24 Aug
inferno2–13-0.0110%24 Aug
ancient6–13-0.025%24 Aug
ancient12–12-0.0020%24 Aug
cache0–12-0.030%24 Aug
office13–60.0713%24 Aug
office12–12-0.065%23 Aug
ancient13–6-0.045%23 Aug
mirage13–70.0312%23 Aug
inferno13–50.0312%22 Aug
ancient10–13-0.0811%22 Aug
vertigo7–10.0711%22 Aug
inferno8–13-0.0110%22 Aug
ancient8–130.049%22 Aug
office13–10-0.067%21 Aug
dust210–130.029%21 Aug
dust212–12-0.0115%19 Aug
inferno10–13-0.0814%19 Aug
dust22–13-0.046%19 Aug
inferno13–90.0412%18 Aug
nuke11–13-0.058%18 Aug
anubis13–1-0.0110%18 Aug
dust28–130.018%18 Aug
ancient16–12-0.059%17 Aug
anubis12–16-0.076%17 Aug
mirage7–13-0.0811%17 Aug
anubis13–4-0.067%17 Aug
dust213–70.004%17 Aug
cache9–13-0.058%16 Aug
ancient13–3-0.1222%16 Aug
dust213–11-0.0416%15 Aug
train13–11-0.0415%15 Aug
train13–30.0215%15 Aug
train13–70.0120%9 Aug
nuke10–13-0.0614%9 Aug
anubis13–11-0.028%7 Aug
ancient13–90.048%6 Aug
cache13–10.036%6 Aug
anubis2–13-0.0414%6 Aug
dust213–16-0.0218%6 Aug
overpass3–13-0.0319%6 Aug
anubis12–12-0.066%3 Aug
cache11–13-0.0713%1 Aug
cache13–6-0.066%1 Aug
ancient5–13-0.076%1 Aug
cache4–13-0.0411%31 Jul
dust27–13-0.060%31 Jul
ancient13–6-0.008%30 Jul
cache13–90.0412%30 Jul
vertigo13–5-0.0114%30 Jul
anubis1–13-0.0318%29 Jul
nuke13–110.0111%29 Jul
vertigo13–90.028%29 Jul
inferno9–13-0.015%29 Jul
anubis13–9-0.0413%29 Jul
mirage5–130.0216%27 Jul
nuke11–6-0.076%27 Jul
mirage13–90.027%27 Jul
cache13–8-0.063%27 Jul
vertigo13–3-0.0511%27 Jul
boulder13–11-0.038%27 Jul
inferno8–13-0.006%27 Jul
italy13–2-0.044%27 Jul
shelter9–13-0.0915%27 Jul
cache1–13-0.1118%26 Jul
nuke12–12-0.0313%26 Jul
mirage13–8-0.0010%24 Jul
anubis13–80.0712%24 Jul
anubis8–13-0.046%24 Jul
mirage13–8-0.055%24 Jul
ancient13–9-0.078%21 Jul
vertigo13–00.0615%21 Jul
train8–130.119%21 Jul
cache1–13-0.094%21 Jul
anubis10–13-0.045%21 Jul
ancient0–11-0.050%20 Jul
dust20–10-0.054%20 Jul
ancient8–13-0.0314%20 Jul
vertigo6–130.0114%19 Jul
train4–13-0.057%19 Jul
cache8–30.023%19 Jul
nuke13–9-0.082%19 Jul
cache8–13-0.097%18 Jul
office13–50.0111%18 Jul
overpass13–70.0121%18 Jul
inferno13–7-0.0210%18 Jul
boulder0–10-0.070%17 Jul
mirage13–90.055%17 Jul
nuke6–13-0.0224%17 Jul
anubis13–9-0.019%17 Jul
dust28–13-0.057%17 Jul
anubis9–13-0.0412%17 Jul

Match data via Leetify.

Milestones

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