NEIN

NEIN — CS2 Stats

76561198221073600[U:1:260807872]Steam profile ↗✓ No bans

46Tracked matches56%Win rate2025Tracked since
CSDB Rating2.3 LearningPositional Player
WingmanSilver III
Ladder ranks via Leetify

Performance scores

Aim10
Positioning25
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY24–18–4Last 4652%Win rateLLLWWLTWWW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −1.1pp headshot accuracy · −123ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 586ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 615ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 676ms

Newest first, from the last 46 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 against its own average).

Aim1.0
Utility1.9
Positioning2.5
Opening Duels0.0

Limited 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

Twistzz

Plays most like Twistzz 72% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Reaction time. 748ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim1.0
Positioning2.5
Utility1.9
Mechanics3.8
Opening Duels0.0
Win Impact6.9

Composite 2.3/10 (Learning), 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 rating-0.04+0.04
first ⅓ avg -0.08 → last ⅓ avg -0.04
Reaction time659ms−204ms
first ⅓ avg 863ms → last ⅓ avg 659ms
Headshot accuracy15.6%+3.2%
first ⅓ avg 12.5% → last ⅓ avg 15.6%

Rolling 5-match average across the last 46 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.10Best match rating · 9–5 · inferno, 23 Oct →
29%Best headshot accuracy · 13–6 · dust2, 3 Sept →
531msFastest reaction time · 9–5 · inferno, 23 Oct →
13–1Biggest win · inferno, 10 Oct →

Across the last 46 tracked matches.

Highlights

4Longest win streak
L3Current streak
6–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 67% over 18mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoS1812–667%-0.07
mirageC83–538%-0.05
dust2A53–260%-0.07
nuke—42–250%-0.03
anubis—30–30%-0.11
cache—32–167%-0.05
shelter—11–0100%-0.11
ancient—10–10%-0.06
debris—11–0100%-0.04
office—10–10%-0.07
poseidon—10–10%-0.08

Across the last 46 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 5 essential Mirage 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.

13.6%Headshot accuracy
23.1%Accuracy (enemy spotted)
21.4%Spray accuracy
67.1%Counter-strafing
12.7°Preaim
748msReaction time
13.0%T opening success
26.2%CT opening success
0.34Enemies flashed / flash
3.8%Flash assists
7.64HE damage / grenade
1.38Flashes / 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 12.7292° — 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 13.5747% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 748.4066ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Mirage

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.1210%30 Oct →
mirage6–13-0.119%24 Oct →
nuke7–90.0120%24 Oct →
inferno9–50.1015%23 Oct →
inferno9–40.0811%23 Oct →
dust210–13-0.0427%15 Oct →
nuke12–12-0.0419%10 Oct →
inferno13–1-0.0314%10 Oct →
inferno13–5-0.0919%10 Sept →
shelter10–3-0.110%7 Sept →
dust213–8-0.1021%7 Sept →
inferno8–8-0.0612%7 Sept →
inferno9–40.0117%7 Sept →
inferno9–3-0.1411%5 Sept →
dust213–6-0.0229%3 Sept →
mirage13–4-0.1318%3 Sept →
mirage9–13-0.0818%11 Aug →
inferno3–13-0.0810%11 Aug →
cache13–10-0.0113%11 Aug →
ancient7–13-0.068%11 Aug →
mirage7–13-0.0211%11 Aug →
cache13–1-0.059%6 Aug →
anubis13–16-0.078%6 Aug →
inferno4–13-0.129%6 Aug →
mirage13–7-0.0515%5 Aug →
inferno13–9-0.1116%4 Aug →
nuke13–11-0.0517%4 Aug →
cache15–15-0.1012%30 Jul →
debris9–7-0.0422%30 Jul →
dust213–6-0.0916%28 Jul →
mirage11–13-0.0512%28 Jul →
mirage13–60.086%28 Jul →
mirage8–13-0.0413%17 Jul →
office12–12-0.0713%17 Jul →
inferno9–7-0.0115%29 Jun →
inferno9–7-0.0224%29 Jun →
inferno4–9-0.270%29 Jun →
inferno9–7-0.0422%26 Jun →
inferno9–7-0.0121%26 Jun →
inferno5–9-0.227%26 Jun →
anubis6–13-0.140%20 Apr →
poseidon5–9-0.0819%28 Jan →
nuke13–8-0.0718%24 Jan →
inferno13–8-0.129%19 Sept →
dust28–13-0.1011%26 Jun →
inferno4–13-0.0910%26 Jun →

Match data via Leetify.

Recent teammates

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

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