Niner

Niner — CS2 Stats

DE76561198081461819[U:1:121196091]Steam profile ↗✓ No bans

1,036Tracked matches54%Win rate2020Tracked since
CSDB Rating4.7 DevelopingPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (58 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 1,036
+3.6ppWin rate · 50.0% → 53.6%

Rating over time

Premier CS Rating: 18,676 +1,073 29 Aug – 5 Jul · 16 days played
16,62418,676peak 18,67629 Aug5 Jul
Faceit ELO: 1,243 +0 28 Aug – 3 Sept · 5 observations
1,2431,243peak 1,24328 Aug3 Sept
18,917Peak Premier in tracked matches
1,243Highest Faceit ELO seen on CSDB
32Days played since 2025-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGNinerFACEITLevel 6STANDINGTop 54.0% of rankedPEAK ELO1,243csdb.gg/stats

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Performance scores

Aim55
Positioning51
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWWWWWWLLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +4.6pp headshot accuracy · −48ms reaction

Win rate 0pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 553ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 576ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 600ms

Newest first, from the last 100 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 (+1.1 against its own average).

Aim5.5
Utility4.8
Positioning5.1
Opening Duels2.8
Clutch3.4

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 83% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 578ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim5.5
Positioning5.1
Utility4.8
Mechanics3.3
Opening Duels2.2
Win Impact6.2

Composite 4.7/10 (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 rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time573ms−55ms
first ⅓ avg 628ms → last ⅓ avg 573ms
Headshot accuracy13.0%−0.2%
first ⅓ avg 13.2% → last ⅓ avg 13.0%

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.

Personal bests

0.08Best match rating · 13–11 · ancient, 27 Jun →
33%Best headshot accuracy · 1–13 · inferno, 27 Jun →
422msFastest reaction time · 4–13 · inferno, 24 Jun →
13–1Biggest win · ancient, 20 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W6Current streak
8–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 56% over 9overpassWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%-0.01
ancientB1910–953%0.00
mirageC167–944%-0.02
anubisD103–730%0.01
overpassD102–820%-0.03
cacheA95–456%-0.03
nukeD62–433%0.00
inferno—20–20%-0.09
train—11–0100%-0.01
office—11–0100%0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

131Matches
53%Win rate
1.03Avg K/D
75.4ADR
36%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust23250%1.0715.3
Ancient2948%0.9715.7
Mirage2756%1.1015.9
Anubis1656%0.9515.5
Overpass944%0.9715.6
Train580%0.8712.2
Inferno520%0.8214.0
Nuke3100%1.0113.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

13.3%Headshot accuracy
34.9%Accuracy (enemy spotted)
41.7%Spray accuracy
64.8%Counter-strafing
10.4°Preaim
578msReaction time
36.0%T opening success
41.8%CT opening success
0.48Enemies flashed / flash
6.8%Flash assists
7.67HE damage / grenade
5.96Flashes / 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 13.3347% — 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 0.4829 — 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 35.9698% — below the 40% mark we flag

Spend your practice time on Overpass

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 10 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10.0415%20 Oct →
cache13–80.0015%20 Oct →
nuke16–130.029%12 Oct →
cache13–8-0.0119%17 Jul →
ancient13–40.0410%17 Jul →
cache13–11-0.0111%17 Jul →
dust29–130.0322%17 Jul →
cache10–13-0.0216%9 Jul →
cache11–13-0.0316%9 Jul →
ancient8–13-0.0324%5 Jul →
mirage13–50.037%5 Jul →
mirage13–80.0213%5 Jul →
ancient10–130.068%5 Jul →
dust213–110.0210%5 Jul →
anubis15–15-0.037%5 Jul →
mirage8–13-0.0017%4 Jul →
mirage13–100.0315%4 Jul →
ancient13–8-0.015%4 Jul →
dust213–50.0212%4 Jul →
anubis6–13-0.0016%4 Jul →
ancient10–13-0.0010%4 Jul →
ancient9–13-0.0110%4 Jul →
anubis4–130.0310%4 Jul →
dust215–15-0.0217%4 Jul →
dust213–7-0.0212%4 Jul →
dust28–13-0.058%4 Jul →
ancient4–13-0.043%4 Jul →
ancient13–60.0515%4 Jul →
anubis5–13-0.0117%2 Jul →
dust213–7-0.0032%2 Jul →
anubis7–13-0.034%2 Jul →
dust213–10-0.0710%2 Jul →
mirage13–5-0.0415%2 Jul →
dust29–13-0.0822%2 Jul →
mirage13–3-0.0614%2 Jul →
overpass8–13-0.0514%29 Jun →
anubis13–50.0710%29 Jun →
dust210–130.0119%28 Jun →
ancient13–110.026%28 Jun →
dust213–40.0621%28 Jun →
ancient11–13-0.0312%28 Jun →
dust25–13-0.0020%28 Jun →
mirage7–13-0.0114%27 Jun →
dust211–130.0112%27 Jun →
ancient13–110.0816%27 Jun →
inferno1–13-0.0933%27 Jun →
dust211–13-0.0313%27 Jun →
dust29–13-0.0013%27 Jun →
nuke7–13-0.0520%26 Jun →
anubis13–9-0.0516%26 Jun →
overpass11–13-0.0012%26 Jun →
mirage9–13-0.0815%26 Jun →
mirage1–13-0.0517%26 Jun →
ancient13–8-0.0512%26 Jun →
nuke6–13-0.004%26 Jun →
ancient13–6-0.0020%25 Jun →
dust29–130.0423%25 Jun →
ancient11–130.0221%24 Jun →
inferno4–13-0.1010%24 Jun →
dust213–9-0.0412%24 Jun →
ancient13–50.0214%24 Jun →
anubis13–100.0217%24 Jun →
dust25–13-0.0217%24 Jun →
mirage13–11-0.019%24 Jun →
ancient13–16-0.0014%23 Jun →
anubis9–130.0315%23 Jun →
mirage6–13-0.0511%23 Jun →
dust213–100.0113%23 Jun →
dust213–5-0.0114%20 May →
dust26–13-0.0813%20 May →
ancient13–11-0.045%20 May →
cache13–9-0.0710%30 Apr →
cache4–13-0.0619%30 Apr →
cache5–13-0.0114%30 Apr →
cache13–8-0.0217%30 Apr →
nuke6–90.0118%27 Apr →
overpass3–9-0.1513%27 Apr →
ancient2–13-0.0510%22 Nov →
mirage5–13-0.0218%7 Nov →
overpass15–150.0010%6 Nov →
dust213–3-0.0218%24 Oct →
mirage7–13-0.0222%24 Oct →
dust213–4-0.0215%23 Oct →
mirage13–90.0112%23 Oct →
overpass4–13-0.0413%15 Oct →
mirage7–13-0.066%15 Oct →
train13–9-0.018%9 Oct →
nuke13–60.0822%6 Oct →
office13–60.0613%6 Oct →
overpass13–110.0111%25 Sept →
overpass11–13-0.0212%15 Sept →
anubis5–130.0417%7 Sept →
nuke8–13-0.056%3 Sept →
overpass13–100.019%3 Sept →
overpass5–13-0.0310%1 Sept →
dust211–13-0.067%1 Sept →
mirage8–13-0.0213%1 Sept →
dust27–13-0.0021%30 Aug →
dust216–14-0.0217%29 Aug →
overpass8–13-0.059%29 Aug →

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 →

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