nova

nova — CS2 Stats

DE76561199642809587[U:1:1682543859]Steam profile ↗✓ No bans

1,310Tracked matches37%Win rate2025Tracked since
1,231Hours in CS
CSDB Rating5.1 DevelopingSupport
Premier CS Rating4,205Grey band · top ~82.2% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 4,205 -5,795 19 Oct – 13 Nov · 13 days played
4,20511,081peak 11,08119 Oct13 Nov
11,368Peak Premier in tracked matches
12Days played since 2026-10-19

Premier CS Rating

  • 6,876 below peak (11,081)
  • -5,795 over 30 days · declining
  • Next: Light Blue band at 5,000 — 795 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-10-19
  • Light Blue band first seen 2026-10-19

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches147——
Win rate51%——
K/D1.01——
Headshot %33%——

Measured 19 Oct 2026 → 14 Nov 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate33.3%38.2%39.9%6.7% short
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio1.050.830.92above
Match win rate48.1%40.2%42.3%above

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

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

Share this profile

CSDB.GGnovaPREMIER4,205 · Grey bandcsdb.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

Aim67
Positioning59
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateLWLLLWLWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −4.1pp headshot accuracy · +50ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 745ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 711ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 686ms

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 (+1.2 against its own average).

Aim6.7
Utility6.0
Positioning5.9
Opening Duels2.4

Excellent counter-strafing

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 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 688ms 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

Aim6.7
Positioning5.9
Utility6.0
Mechanics8.8
Opening Duels2.4
Win Impact0.6

Composite 5.1/10 (Developing), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time673ms+29ms
first ⅓ avg 644ms → last ⅓ avg 673ms
Headshot accuracy14.3%−2.3%
first ⅓ avg 16.7% → last ⅓ avg 14.3%

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

0.17Best match rating · 8–0 · nuke, 7 Nov →
71%Best headshot accuracy · 8–0 · nuke, 7 Nov →
430msFastest reaction time · 7–13 · mirage, 23 Oct →
13–2Biggest win · nuke, 8 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 67% over 9mirageWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
dust2C228–1436%0.02
mirageD216–1529%-0.02
infernoB157–847%0.01
nukeB158–753%0.02
cacheB126–650%0.00
anubisS96–367%0.01
ancientS64–267%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,566Lifetime kills
1.05K/D · Top 25% of Grey band
3,044Matches
48.1%Match win rate · Top 10% of Grey band
33.3%Headshot %
0.0%Shot accuracy
7,017MVPs
1,231Hours (in match)
1,922Bombs planted
1,089Bombs defused

Most-used weapons

Lifetime map wins

6,520dust2
5,019nuke
4,350inferno
405vertigo
160train
109office
11italy
2lake

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

Skill profile

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

13.8%Headshot accuracy
38.9%Accuracy (enemy spotted)
40.9%Spray accuracy
89.8%Counter-strafing
11.3°Preaim
688msReaction time
37.8%T opening success
41.0%CT opening success
0.52Enemies flashed / flash
7.8%Flash assists
6.54HE damage / grenade
16.17Flashes / 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 13.7632% — below the 15% mark we flag

    Aim Training →
  2. 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 37.8185% — below the 40% mark we flag

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.

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0415%13 Nov →
mirage13–90.037%13 Nov →
mirage7–13-0.018%13 Nov →
mirage3–13-0.0118%13 Nov →
cache11–130.099%13 Nov →
nuke13–40.0410%13 Nov →
dust214–160.0223%8 Nov →
ancient13–110.0615%8 Nov →
dust214–160.0111%8 Nov →
nuke13–20.0333%8 Nov →
dust213–90.0713%8 Nov →
nuke6–13-0.0312%8 Nov →
dust22–13-0.047%7 Nov →
mirage6–13-0.0810%7 Nov →
dust211–13-0.015%7 Nov →
mirage12–16-0.0430%7 Nov →
cache10–13-0.0312%7 Nov →
anubis13–5-0.0315%7 Nov →
inferno9–130.0114%7 Nov →
nuke8–00.1771%7 Nov →
inferno6–13-0.025%7 Nov →
dust216–140.0414%7 Nov →
mirage10–13-0.0711%7 Nov →
dust210–13-0.018%7 Nov →
mirage13–10-0.039%7 Nov →
dust29–130.0416%7 Nov →
mirage7–13-0.085%7 Nov →
mirage13–70.0617%2 Nov →
nuke13–80.1013%2 Nov →
mirage7–13-0.019%2 Nov →
anubis13–70.096%2 Nov →
cache13–11-0.008%2 Nov →
mirage4–130.0614%2 Nov →
cache3–13-0.080%2 Nov →
dust211–130.050%2 Nov →
anubis7–130.0410%2 Nov →
mirage11–130.0214%2 Nov →
inferno5–13-0.0320%2 Nov →
dust26–13-0.0229%30 Oct →
mirage8–13-0.0417%30 Oct →
dust25–130.0126%30 Oct →
dust22–13-0.0018%30 Oct →
anubis13–90.0922%30 Oct →
anubis13–100.0110%30 Oct →
nuke11–13-0.054%30 Oct →
dust26–13-0.0331%30 Oct →
ancient13–100.019%29 Oct →
inferno13–11-0.0213%29 Oct →
cache13–70.0120%29 Oct →
ancient10–13-0.018%29 Oct →
ancient13–16-0.0215%29 Oct →
nuke11–13-0.0410%29 Oct →
ancient13–110.0112%29 Oct →
nuke13–20.134%29 Oct →
dust26–00.070%29 Oct →
anubis6–13-0.025%29 Oct →
nuke16–13-0.0216%29 Oct →
inferno13–50.0612%28 Oct →
mirage9–13-0.0322%28 Oct →
dust213–9-0.0023%28 Oct →
inferno10–130.0813%26 Oct →
inferno2–13-0.0522%26 Oct →
inferno11–130.0321%25 Oct →
cache13–50.0311%25 Oct →
anubis13–10-0.0611%25 Oct →
nuke13–100.0357%25 Oct →
inferno13–3-0.0025%25 Oct →
mirage13–11-0.0119%25 Oct →
cache8–130.0314%25 Oct →
cache13–80.0113%25 Oct →
dust211–130.0216%25 Oct →
nuke15–150.0111%25 Oct →
cache4–13-0.1110%25 Oct →
mirage2–13-0.0956%25 Oct →
mirage15–150.0225%25 Oct →
nuke13–110.0423%25 Oct →
inferno13–80.0213%25 Oct →
cache13–20.0410%25 Oct →
dust213–70.0415%25 Oct →
nuke5–130.0324%24 Oct →
cache11–13-0.0411%23 Oct →
nuke5–13-0.0810%23 Oct →
cache13–90.0710%23 Oct →
mirage9–1-0.0538%23 Oct →
mirage9–130.0313%23 Oct →
dust213–80.0211%23 Oct →
anubis7–13-0.0725%23 Oct →
anubis13–90.0437%23 Oct →
mirage13–110.0314%23 Oct →
inferno16–130.0519%23 Oct →
inferno5–90.026%23 Oct →
nuke13–16-0.0413%23 Oct →
inferno13–50.0112%23 Oct →
mirage7–13-0.028%23 Oct →
dust213–50.045%23 Oct →
dust213–20.0116%23 Oct →
ancient13–50.067%23 Oct →
dust210–130.0122%22 Oct →
dust210–130.0111%22 Oct →
inferno13–7-0.0016%22 Oct →

Match data via Leetify.

Milestones

1,000 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.