NineOne

NineOne — CS2 Stats

DE76561198015418418[U:1:55152690]Steam profile ↗✓ No bans

494Tracked matches41%Win rate2023Tracked since
CSDB Rating4.6 DevelopingSupport
CSDB Leaderboard#57880 of 247980 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,649 -1,281 1 Feb – 17 Feb · 11 days played
21,38523,240peak 23,2401 Feb17 Feb
23,240Peak Premier in tracked matches
46Days played since 2026-02-01

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

Performance scores

Aim64
Positioning35
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWLLWLWLWLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −8.9pp headshot accuracy · −31ms 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 16%
  • Avg reaction 611ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 604ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 619ms

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: Support — Utility contribution stands above the rest of this profile (+3 against its own average).

Aim6.4
Utility6.5
Positioning3.5
Opening Duels0.0
Clutch4.0

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 79% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 607ms 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

Aim6.4
Positioning3.5
Utility6.5
Mechanics5.3
Opening Duels0.0
Win Impact2.1

Composite 4.6/10 (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 rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time606ms−55ms
first ⅓ avg 661ms → last ⅓ avg 606ms
Headshot accuracy16.9%+2.8%
first ⅓ avg 14.1% → last ⅓ avg 16.9%

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

0.20Best match rating · 13–4 · cache, 18 Sept →
100%Best headshot accuracy · 13–1 · cache, 24 Sept →
438msFastest reaction time · 5–13 · ancient, 1 Oct →
13–1Biggest win · cache, 24 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 65% over 20trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheS2013–765%0.05
ancientC135–838%-0.01
infernoB137–654%-0.00
anubisB105–550%0.06
dust2B105–550%-0.01
mirageD82–625%0.01
overpassA85–363%0.02
nukeD62–433%0.06
trainD51–420%0.01
italy—42–250%0.05
vertigo—11–0100%0.03
office—10–10%0.02
shelter—11–0100%0.03

Across the last 100 tracked matches.

Faceit stats

Combat

43Matches
51%Win rate
1.11Avg K/D
84.0ADR
35%Headshot %

Clutches & streaks

40%1v1 clutch win
27%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage933%0.7112.4
Nuke771%1.8717.9
Ancient650%1.0214.0
Anubis520%0.8014.8
Dust25100%0.9715.4
Inferno40%0.7810.5
Cache3100%1.6118.0
Vertigo2100%1.5620.0

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.

16.7%Headshot accuracy
37.2%Accuracy (enemy spotted)
39.6%Spray accuracy
74.1%Counter-strafing
10.9°Preaim
607msReaction time
24.1%T opening success
22.3%CT opening success
0.57Enemies flashed / flash
5.3%Flash assists
10.57HE damage / grenade
13.83Flashes / 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 24.1438% — below the 40% mark we flag

Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
vertigo9–40.0310%2 Oct →
ancient5–130.0313%1 Oct →
inferno7–13-0.0512%1 Oct →
train13–80.0016%28 Sept →
office5–130.0229%28 Sept →
cache13–110.0012%28 Sept →
inferno8–13-0.087%27 Sept →
cache13–50.046%27 Sept →
italy8–130.0224%25 Sept →
train6–130.0315%25 Sept →
anubis13–50.0710%25 Sept →
cache13–60.025%25 Sept →
cache13–1-0.02100%24 Sept →
ancient6–13-0.0110%23 Sept →
dust26–13-0.0116%21 Sept →
cache5–130.0513%21 Sept →
dust28–13-0.0418%21 Sept →
ancient13–40.0517%20 Sept →
cache13–20.1115%20 Sept →
italy7–130.0330%18 Sept →
dust212–120.0210%18 Sept →
cache13–40.2017%18 Sept →
inferno13–50.0513%18 Sept →
dust25–13-0.0415%17 Sept →
ancient8–13-0.0417%17 Sept →
anubis4–130.025%17 Sept →
dust216–120.0217%16 Sept →
mirage8–130.0117%16 Sept →
inferno13–80.0111%15 Sept →
cache7–13-0.0120%15 Sept →
cache6–13-0.0015%15 Sept →
dust213–80.0010%14 Sept →
cache13–10-0.0213%14 Sept →
inferno13–40.0210%13 Sept →
mirage12–120.0616%12 Sept →
cache13–40.1114%11 Sept →
anubis2–130.0614%11 Sept →
nuke1–13-0.0235%11 Sept →
inferno13–110.0318%11 Sept →
overpass6–13-0.0313%11 Sept →
italy13–80.0433%10 Sept →
train2–13-0.0224%10 Sept →
cache13–20.085%10 Sept →
nuke3–130.109%9 Sept →
ancient13–50.039%9 Sept →
train11–130.0220%8 Sept →
anubis4–130.0217%8 Sept →
anubis13–100.1112%7 Sept →
cache13–80.1413%7 Sept →
cache13–10.1021%6 Sept →
cache12–12-0.0410%4 Sept →
mirage10–50.1322%30 Aug →
inferno5–13-0.0214%30 Aug →
overpass5–130.0619%30 Aug →
cache13–110.068%30 Aug →
cache10–130.0518%26 Aug →
shelter13–80.0315%16 Aug →
train5–130.0220%16 Aug →
anubis10–130.1119%16 Aug →
nuke6–130.0610%16 Aug →
cache13–50.0611%15 Aug →
cache5–130.0216%1 Aug →
cache11–130.089%31 Jul →
ancient5–13-0.0110%2 Mar →
inferno12–12-0.0120%27 Feb →
ancient10–130.046%27 Feb →
inferno10–13-0.0613%22 Feb →
dust213–50.0413%22 Feb →
nuke13–80.1215%19 Feb →
italy13–40.1010%19 Feb →
inferno5–13-0.076%17 Feb →
anubis13–40.0618%16 Feb →
anubis8–130.0114%15 Feb →
ancient5–13-0.087%15 Feb →
inferno13–10.0520%14 Feb →
overpass13–50.0413%14 Feb →
anubis13–20.0512%14 Feb →
dust213–30.0723%14 Feb →
inferno13–60.0418%14 Feb →
mirage1–13-0.0613%14 Feb →
inferno13–60.0518%13 Feb →
ancient13–80.0120%13 Feb →
nuke6–130.0318%13 Feb →
overpass13–70.028%13 Feb →
dust213–7-0.0817%13 Feb →
ancient14–16-0.0313%9 Feb →
overpass6–13-0.0315%8 Feb →
mirage13–40.018%8 Feb →
ancient16–13-0.0415%8 Feb →
anubis7–00.057%7 Feb →
dust211–13-0.0310%7 Feb →
overpass13–40.0810%6 Feb →
overpass13–70.0722%5 Feb →
ancient13–5-0.028%5 Feb →
mirage4–13-0.059%3 Feb →
ancient10–130.0113%3 Feb →
mirage3–13-0.0516%3 Feb →
mirage11–130.0215%3 Feb →
overpass13–4-0.0319%2 Feb →
nuke13–50.0524%1 Feb →

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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