Novo

Novo — CS2 Stats

76561198845554138[U:1:885288410]Steam profile ↗✓ No bans

1,476Tracked matches52%Win rate2020Tracked since
2,449Hours in CS7Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
CSDB Leaderboard#56702 of 251327 tracked
FaceitLevel 9 · 2,000 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,785 +5,536 30 Nov – 11 Jul · 8 days played
16,24921,785peak 21,78530 Nov11 Jul
22,105Peak Premier in tracked matches
2,000Highest Faceit ELO seen on CSDB
48Days played since 2024-09-17

Faceit ELO

  • At peak — 2,000
  • Next: Level 10 at 2,001 — 1 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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 Level 9 among CSDB-tracked players (n=14,332), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate54.6%48.2%50.9%above
Shot accuracy7.6%13.3%13.7%6.1% short
Kill/death ratio0.761.071.090.32 short
Match win rate71.6%46.9%48.4%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNovoFACEITLevel 9 · 2,000 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,000csdb.gg/stats

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Performance scores

Aim72
Positioning61
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY53–38–9Last 10053%Win rateTWWLLWLTWL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −3.4pp headshot accuracy · −20ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 597ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 541ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 550ms

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 (+1.7 against its own average).

Aim7.2
Utility5.1
Positioning6.1
Opening Duels3.2
Clutch3.2

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

iM

Plays most like iM 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 592ms 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

Aim7.2
Positioning6.1
Utility5.1
Mechanics6.5
Opening Duels2.6
Win Impact5.6

Composite 5.9/10 (Solid), 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-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time586ms−38ms
first ⅓ avg 624ms → last ⅓ avg 586ms
Headshot accuracy19.3%−0.8%
first ⅓ avg 20.2% → last ⅓ avg 19.3%

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

0.23Best match rating · 13–5 · overpass, 13 Oct →
37%Best headshot accuracy · 3–13 · inferno, 3 Oct →
414msFastest reaction time · 3–13 · mirage, 20 Apr →
13–1Biggest win · inferno, 21 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 80% over 5ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB199–1047%-0.02
infernoB157–847%-0.01
ancientC135–838%0.02
vertigoB115–645%0.04
dust2S118–373%-0.01
anubisB105–550%-0.01
cacheA74–357%-0.00
nukeS54–180%-0.02
train—32–167%0.01
overpass—32–167%0.15
italy—11–0100%0.07
memento—10–10%-0.05
assembly—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

109,010Lifetime kills
0.76K/D
8,612Matches
71.6%Match win rate · Top 5% of Level 9 players
54.6%Headshot % · Top 25% of Level 9 players
7.6%Shot accuracy
10,424MVPs
1,815Hours (in match)
3,387Bombs planted
756Bombs defused

Most-used weapons

AK-4749,844
AWP8,449
Knife1,898
MP71,195
SSG 081,136

Lifetime map wins

5,264inferno
3,960vertigo
1,252train
1,223dust2
884nuke
326cbble
166office
143italy

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

Faceit stats

Combat

904Matches
54%Win rate
0.93Avg K/D
65.7ADR
49%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
16Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage19445%0.8213.0
Anubis18261%0.9614.1
Ancient9551%0.8913.8
Vertigo8762%1.0114.2
Inferno8149%0.8212.6
Cache1958%0.8712.6
Overpass1844%0.9012.5
Dust21450%0.9214.4

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.

19.7%Headshot accuracy
35.1%Accuracy (enemy spotted)
37.3%Spray accuracy
79.5%Counter-strafing
9.7°Preaim
592msReaction time
38.6%T opening success
42.0%CT opening success
0.64Enemies flashed / flash
8.9%Flash assists
6.68HE damage / grenade
8.33Flashes / 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 38.5775% — below the 40% mark we flag

Spend your practice time on Ancient

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke12–12-0.0119%24 Sept →
mirage13–8-0.0111%24 Sept →
cache13–10-0.0324%24 Sept →
vertigo8–13-0.0129%23 Sept →
ancient10–130.0115%23 Sept →
anubis13–80.0131%23 Sept →
vertigo0–13-0.030%23 Sept →
cache12–120.0719%27 Aug →
cache13–5-0.0426%27 Aug →
mirage0–2-0.070%25 Aug →
mirage6–13-0.0228%25 Aug →
ancient10–130.0320%23 Aug →
cache1–130.0222%23 Aug →
vertigo13–90.0726%23 Aug →
vertigo13–60.0616%13 Jul →
anubis12–120.0114%13 Jul →
dust213–40.1418%13 Jul →
vertigo1–7-0.0310%13 Jul →
ancient3–13-0.0929%4 Jul →
cache10–13-0.0425%4 Jul →
anubis9–13-0.0221%3 Jul →
cache13–80.0221%18 May →
inferno13–40.0019%12 May →
cache13–9-0.0314%7 May →
mirage13–10-0.0223%7 May →
dust213–80.0314%29 Mar →
anubis13–5-0.0622%29 Mar →
mirage13–9-0.0417%27 Oct →
inferno6–13-0.0610%14 Oct →
dust22–13-0.1021%14 Oct →
ancient13–110.0123%17 Sept →
dust213–10-0.0427%12 Sept →
nuke13–3-0.0526%12 Sept →
ancient13–110.0830%6 Sept →
ancient9–130.0431%5 Sept →
ancient9–130.0117%5 Sept →
mirage12–12-0.0131%3 Sept →
anubis6–130.0024%24 Aug →
anubis3–13-0.0125%23 Aug →
train13–8-0.0630%10 Aug →
inferno14–160.0119%10 Aug →
ancient12–12-0.0127%29 Jul →
dust27–13-0.0617%11 Jul →
ancient9–130.0526%11 Jul →
anubis13–8-0.0319%11 Jul →
mirage8–13-0.0528%11 Jul →
inferno16–14-0.0724%11 Jul →
inferno13–10-0.0319%8 Jun →
dust213–100.0222%26 May →
train12–12-0.0119%21 May →
mirage16–13-0.0014%20 May →
ancient13–60.0521%20 May →
inferno13–7-0.0629%20 May →
anubis11–130.0116%18 May →
inferno9–13-0.0521%18 May →
inferno4–13-0.0127%21 Apr →
inferno13–10.1328%21 Apr →
dust213–30.0126%21 Apr →
anubis13–4-0.0116%21 Apr →
mirage3–13-0.0430%20 Apr →
mirage15–15-0.0135%16 Apr →
inferno11–13-0.0326%16 Apr →
mirage4–13-0.0419%16 Apr →
inferno13–16-0.0214%11 Apr →
dust29–13-0.0120%11 Apr →
ancient7–130.039%11 Apr →
mirage13–6-0.0515%11 Apr →
nuke13–6-0.0215%11 Apr →
mirage8–130.0212%27 Mar →
dust213–10-0.0416%26 Mar →
mirage13–11-0.0125%13 Mar →
ancient13–4-0.0319%9 Mar →
mirage13–90.0315%3 Mar →
train13–40.0930%3 Mar →
inferno13–70.0032%26 Feb →
dust213–8-0.0316%26 Feb →
inferno11–13-0.0417%17 Feb →
mirage8–13-0.0515%17 Feb →
dust213–60.0117%17 Feb →
inferno13–60.0526%17 Feb →
ancient13–80.0921%8 Feb →
mirage13–4-0.0122%8 Feb →
mirage13–160.0620%8 Feb →
mirage13–40.0319%4 Feb →
vertigo7–13-0.0412%30 Nov →
anubis13–80.0115%18 Nov →
overpass12–120.1523%22 Oct →
overpass13–50.2327%13 Oct →
inferno3–130.0137%3 Oct →
vertigo13–20.0710%3 Oct →
nuke9–7-0.0416%3 Oct →
italy13–80.0723%3 Oct →
vertigo10–10.2222%3 Oct →
vertigo13–90.1024%3 Oct →
vertigo11–130.0520%3 Oct →
vertigo12–120.0211%3 Oct →
nuke13–110.0221%17 Sept →
overpass9–70.0728%17 Sept →
memento5–9-0.0518%17 Sept →
assembly9–60.0320%17 Sept →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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