Nippe.

Nippe. — CS2 Stats

FI76561199618358933[U:1:1658093205]Steam profile ↗✓ No bans

108Tracked matches40%Win rate2026Tracked since
CSDB Rating2.2 LearningPositional Player
Premier CS Rating1,739Grey band · top ~92.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (3 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.

Rating over time

Premier CS Rating: 1,739 +88 5 Sept – 12 Oct · 17 days played
1,2993,124peak 3,1245 Sept12 Oct
3,124Peak Premier in tracked matches
32Days played since 2026-08-07

Premier CS Rating

  • 1,385 below peak (3,124)
  • -1,385 over 30 days · declining
  • Next: Light Blue band at 5,000 — 3,261 to go

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

Share this profile

CSDB.GGNippe.PREMIER1,739 · Grey bandcsdb.gg/stats

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Performance scores

Aim14
Positioning59
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY34–57–1Last 9237%Win rateLWLWLLLLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · −58ms 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 11%
  • Avg reaction 758ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 697ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 726ms

Newest first, from the last 92 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 (+2.5 against its own average).

Aim1.4
Utility2.0
Positioning5.9
Opening Duels2.3

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

jL

Plays most like jL 57% 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. 703ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 37% 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

Aim1.4
Positioning5.9
Utility2.0
Mechanics0.0
Opening Duels3.7
Win Impact1.7

Composite 2.2/10 (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-0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time707ms+9ms
first ⅓ avg 698ms → last ⅓ avg 707ms
Headshot accuracy12.9%+0.9%
first ⅓ avg 12.0% → last ⅓ avg 12.9%

Rolling 5-match average across the last 92 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.12Best match rating · 13–3 · mirage, 14 Sept →
36%Best headshot accuracy · 13–6 · inferno, 22 Aug →
492msFastest reaction time · 5–13 · train, 24 Aug →
13–0Biggest win · mirage, 17 Sept →

Across the last 92 tracked matches.

Highlights

4Longest win streak
5–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 63% over 8anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageD3811–2729%-0.02
dust2C176–1135%-0.01
infernoA85–363%-0.01
vertigoC73–443%-0.03
ancientB63–350%0.00
nukeB63–350%-0.04
anubisD51–420%-0.01
train—42–250%0.02
cache—10–10%0.01

Across the last 92 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis 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.

12.7%Headshot accuracy
35.7%Accuracy (enemy spotted)
36.1%Spray accuracy
36.5%Counter-strafing
13.3°Preaim
703msReaction time
44.8%T opening success
45.0%CT opening success
0.39Enemies flashed / flash
5.1%Flash assists
3.59HE damage / grenade
3.77Flashes / 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 13.3063° — above the 12° mark we flag

    Aim Training →
  2. Movement Guide

    Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.

    Counter-strafing 36.5438% — below the 45% mark we flag

    Practice Config →
  3. 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 12.6608% — below the 15% mark we flag

    Aim Training →
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–130.017%12 Oct →
mirage16–13-0.0511%12 Oct →
mirage2–13-0.088%9 Oct →
ancient13–10.0820%9 Oct →
mirage5–13-0.029%28 Sept →
dust210–13-0.037%27 Sept →
ancient0–10-0.0129%27 Sept →
inferno11–13-0.0111%27 Sept →
mirage13–7-0.129%25 Sept →
ancient13–7-0.0414%25 Sept →
nuke3–13-0.0819%20 Sept →
mirage13–20.0112%20 Sept →
dust25–13-0.0120%20 Sept →
mirage10–13-0.0623%18 Sept →
dust28–13-0.0519%18 Sept →
inferno13–90.0410%18 Sept →
nuke9–6-0.044%18 Sept →
inferno13–11-0.0315%18 Sept →
mirage13–00.0712%17 Sept →
mirage5–13-0.0413%17 Sept →
dust28–130.1113%17 Sept →
mirage16–14-0.0513%16 Sept →
dust24–50.0527%16 Sept →
mirage11–13-0.0217%16 Sept →
mirage9–130.0610%14 Sept →
mirage13–30.128%14 Sept →
mirage10–130.025%13 Sept →
dust21–13-0.017%13 Sept →
dust213–20.037%13 Sept →
mirage8–130.0610%13 Sept →
dust213–60.0213%12 Sept →
mirage13–5-0.016%12 Sept →
mirage5–13-0.0217%12 Sept →
mirage5–13-0.0414%11 Sept →
dust213–90.0022%11 Sept →
mirage7–13-0.0312%11 Sept →
dust213–40.1120%10 Sept →
inferno8–10.039%10 Sept →
anubis4–13-0.0115%10 Sept →
ancient2–13-0.070%7 Sept →
mirage13–20.0213%7 Sept →
ancient13–40.1023%7 Sept →
dust24–13-0.0425%6 Sept →
anubis9–13-0.0824%6 Sept →
nuke13–40.0424%5 Sept →
inferno8–130.018%5 Sept →
mirage3–130.008%5 Sept →
anubis0–8-0.1122%5 Sept →
mirage3–13-0.0410%5 Sept →
nuke13–80.0010%5 Sept →
mirage8–13-0.0712%31 Aug →
mirage5–13-0.0525%28 Aug →
mirage10–13-0.054%27 Aug →
mirage13–11-0.0210%27 Aug →
anubis13–40.0411%27 Aug →
mirage9–13-0.026%27 Aug →
dust213–4-0.063%27 Aug →
mirage13–50.021%27 Aug →
mirage2–13-0.058%27 Aug →
mirage12–16-0.0413%26 Aug →
dust212–00.0219%26 Aug →
dust28–13-0.078%26 Aug →
mirage16–13-0.056%25 Aug →
mirage9–13-0.069%25 Aug →
nuke3–13-0.075%25 Aug →
ancient4–13-0.0512%24 Aug →
dust211–13-0.067%24 Aug →
mirage3–13-0.066%24 Aug →
train5–130.026%24 Aug →
mirage0–13-0.070%24 Aug →
vertigo13–40.059%24 Aug →
anubis11–130.1113%24 Aug →
vertigo13–90.0316%23 Aug →
mirage0–6-0.040%23 Aug →
dust28–13-0.0510%22 Aug →
mirage8–130.0027%22 Aug →
inferno13–6-0.0436%22 Aug →
mirage10–13-0.0316%22 Aug →
dust24–13-0.1211%19 Aug →
train13–30.028%18 Aug →
train6–130.0516%14 Aug →
inferno8–13-0.0811%14 Aug →
mirage3–13-0.0411%14 Aug →
train13–11-0.0313%13 Aug →
nuke7–9-0.0817%13 Aug →
vertigo9–6-0.0113%13 Aug →
mirage3–13-0.0514%11 Aug →
inferno13–11-0.0119%11 Aug →
vertigo1–13-0.1114%11 Aug →
vertigo8–13-0.1011%8 Aug →
vertigo8–13-0.043%7 Aug →
vertigo12–12-0.0719%7 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 →

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