SeeNine

SeeNine — CS2 Stats

NO76561198132260109[U:1:171994381]Steam profile ↗VAC banned

814Tracked matches57%Win rate2020Tracked since
4,228Hours in CS
CSDB Rating6.8 SolidSupport
Premier CS Rating20,111Top 50% of 210,832 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#80879 of 258177 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (10 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: 20,111 -2,294 29 May – 18 Oct · 18 days played
19,60323,409peak 23,40929 May18 Oct
23,409Peak Premier in tracked matches
2,109Highest Faceit ELO seen on CSDB
60Days played since 2025-05-29

Faceit ELO

  • At peak — 2,109
  • Next: 2,500 ELO at 2,500 — 391 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • 3,298 below peak (23,409)
  • Next: Red band at 25,000 — 4,889 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianRed band medianvs Red band
Headshot rate55.2%46.9%49.3%above
Shot accuracy18.5%13.0%13.4%above
Kill/death ratio1.091.081.120.03 short
Match win rate44.8%46.7%48.5%3.7% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSeeNinePREMIER20,111 · Pink bandPEAK ELO2,109csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim84
Positioning53
Utility56

0–100 skill scores via Leetify.

Recent form

HOT58–35–7Last 10058%Win rateWWWWLLWWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −3.7pp headshot accuracy · −45ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 513ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 534ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 556ms

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 (+1.4 against its own average).

Aim8.4
Utility5.6
Positioning5.3
Opening Duels3.4
Clutch2.6

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

NiKo

Plays most like NiKo 96% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 563ms 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

Aim8.4
Positioning5.3
Utility5.6
Mechanics7.6
Opening Duels4.1
Win Impact7.2

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time578ms+16ms
first ⅓ avg 563ms → last ⅓ avg 578ms
Headshot accuracy25.4%+0.9%
first ⅓ avg 24.5% → last ⅓ avg 25.4%

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

0.21Best match rating · 13–3 · train, 10 Nov →
100%Best headshot accuracy · 2–0 · inferno, 23 Apr →
430msFastest reaction time · 13–8 · cache, 14 Oct →
13–2Biggest win · cache, 30 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
10–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 69% over 13mirageWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
cacheA2916–1355%0.03
mirageC145–936%-0.01
dust2S139–469%-0.01
ancientS128–467%0.02
infernoA117–464%0.03
nukeA106–460%0.04
anubis—43–175%-0.00
overpass—43–175%0.04
train—31–233%0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

203,752Lifetime kills
1.09K/D · Top 50% of Pink band
7,181Matches
44.8%Match win rate
55.2%Headshot % · Top 25% of Pink band
18.5%Shot accuracy · Top 10% of Pink band
14,086MVPs
4,228Hours (in match)
4,379Bombs planted
1,520Bombs defused

Most-used weapons

AK-4767,173
AWP27,581
UMP-453,454
P2503,224
Tec-93,113
SG 5532,782

Lifetime map wins

9,085inferno
4,021train
2,577dust2
1,720nuke
1,296cbble
785vertigo
200lake
118safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,137Matches
52%Win rate
1.19Avg K/D
79.0ADR
44%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4846%1.1316.0
Inferno3339%1.1717.6
Ancient3266%1.4318.7
Anubis3145%1.0315.2
Dust22138%0.9914.9
Nuke1953%1.1318.6
Overpass862%1.3717.3
Cache850%1.3119.6

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.

26.2%Headshot accuracy
32.9%Accuracy (enemy spotted)
36.9%Spray accuracy
84.2%Counter-strafing
8.4°Preaim
563msReaction time
51.1%T opening success
42.1%CT opening success
0.58Enemies flashed / flash
8.2%Flash assists
9.06HE damage / grenade
6.62Flashes / match

Recommended for you

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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–3-0.0131%18 Oct →
inferno13–8-0.0121%17 Oct →
cache13–80.0533%14 Oct →
ancient13–100.0825%11 Oct →
cache5–130.0318%11 Oct →
mirage5–13-0.0213%2 Oct →
inferno13–90.0534%26 Sept →
anubis16–130.0230%21 Sept →
inferno10–130.0225%24 Aug →
cache13–60.0930%22 Aug →
nuke13–10-0.0221%15 Aug →
dust213–7-0.0232%3 Aug →
dust28–130.0334%31 Jul →
mirage13–110.0118%31 Jul →
mirage9–13-0.0233%25 Jul →
nuke13–100.1038%25 Jul →
inferno13–60.1242%25 Jul →
nuke12–80.0313%25 Jul →
mirage11–130.0340%25 Jul →
nuke4–130.0226%22 Jul →
mirage9–130.0224%15 Jul →
nuke13–80.0428%14 Jun →
cache9–13-0.029%13 Jun →
cache13–100.0429%31 May →
cache13–60.0634%30 May →
dust22–13-0.0416%28 May →
mirage14–16-0.0729%27 May →
mirage13–5-0.0611%26 May →
cache0–13-0.0631%26 May →
cache5–13-0.028%25 May →
cache13–70.0222%13 May →
cache13–70.0621%13 May →
cache13–60.0419%11 May →
cache13–30.097%11 May →
cache12–120.0629%6 May →
cache12–120.1123%6 May →
cache10–13-0.0115%6 May →
cache12–12-0.0218%6 May →
cache13–11-0.0126%5 May →
cache12–12-0.0613%3 May →
cache11–13-0.0125%3 May →
cache13–110.0822%3 May →
cache13–80.0224%3 May →
cache13–110.0513%2 May →
cache12–120.0011%1 May →
cache13–60.0620%1 May →
cache13–60.1020%30 Apr →
cache12–120.0716%30 Apr →
cache13–110.0416%30 Apr →
cache13–20.1018%30 Apr →
cache3–130.0111%29 Apr →
dust216–12-0.0117%28 Apr →
ancient13–100.015%28 Apr →
overpass10–130.0019%26 Apr →
nuke13–40.1328%26 Apr →
dust20–8-0.1312%24 Apr →
ancient9–13-0.0111%24 Apr →
inferno13–30.0817%24 Apr →
dust213–30.0128%24 Apr →
mirage6–130.0518%24 Apr →
inferno10–13-0.005%24 Apr →
inferno2–0-0.02100%23 Apr →
nuke13–110.0324%22 Apr →
mirage13–90.0131%22 Apr →
dust28–130.0420%22 Apr →
ancient7–13-0.0518%23 Dec →
dust213–100.0821%17 Dec →
inferno13–30.0215%17 Dec →
train10–130.0636%17 Dec →
ancient8–13-0.0419%17 Dec →
overpass13–60.1829%16 Dec →
train11–130.0020%16 Dec →
inferno12–120.0224%11 Dec →
anubis13–70.0323%11 Dec →
train13–30.2139%10 Nov →
mirage13–70.0133%9 Nov →
overpass13–10-0.018%7 Nov →
nuke9–130.0221%2 Nov →
ancient13–60.0619%6 Aug →
overpass13–2-0.008%28 Jul →
ancient6–130.0429%28 Jul →
inferno13–50.0419%27 Jul →
mirage13–100.0122%27 Jul →
inferno9–130.0220%27 Jul →
mirage8–13-0.0224%24 Jul →
dust213–10-0.0125%24 Jul →
ancient13–80.0110%24 Jul →
ancient13–110.0136%23 Jul →
dust213–11-0.0042%22 Jul →
mirage8–13-0.0427%20 Jul →
ancient13–90.0513%19 Jul →
nuke10–130.0415%17 Jul →
mirage3–13-0.0623%16 Jun →
dust213–11-0.0610%14 Jun →
anubis13–7-0.0323%13 Jun →
anubis3–13-0.0360%2 Jun →
ancient13–80.0438%2 Jun →
dust213–100.0428%31 May →
ancient13–100.0419%29 May →
nuke9–13-0.0233%29 May →

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.