nepone

nepone — CS2 Stats

US76561198212951216[U:1:252685488]Steam profile ↗✓ No bans

2,144Tracked matches50%Win rate2020Tracked since
4,907Hours in CS62Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
FaceitLevel 10 · 2,219 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,219 → 2,219
+99Tracked matches · now 2,144
−10.0ppWin rate · 60.0% → 50.0%

Rating over time

Premier CS Rating: 23,714 -3,111 28 Dec – 5 Jul · 6 days played
23,71429,344peak 29,34428 Dec5 Jul
29,344Peak Premier in tracked matches
2,219Highest Faceit ELO seen on CSDB
49Days played since 2025-12-28

Faceit ELO

  • At peak — 2,219
  • Next: 2,500 ELO at 2,500 — 281 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-06
  • Level 9 first seen 2026-09-06

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,846), 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 10 median
Headshot rate44.1%50.9%
Shot accuracy18.2%13.7%
Kill/death ratio0.831.09
Match win rate44.0%48.4%

Share this profile

CSDB.GGneponeFACEITLevel 10 · 2,219 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,219csdb.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
Positioning66
Utility54

0–100 skill scores via Leetify.

Recent form

COLD55–42–3Last 10055%Win rateLWWLLLLLLW

Last 10 vs previous 10: −40pp win rate · +0.03 avg rating · +5.3pp headshot accuracy · −50ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 470ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 476ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 501ms

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 (+1.9 against its own average).

Aim8.4
Utility5.4
Positioning6.6
Opening Duels3.6
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 95% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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
Positioning6.6
Utility5.4
Mechanics6.3
Opening Duels3.7
Win Impact5.0

Composite 6.5/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time513ms−48ms
first ⅓ avg 561ms → last ⅓ avg 513ms
Headshot accuracy23.9%−1.2%
first ⅓ avg 25.1% → last ⅓ avg 23.9%

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

0.28Best match rating · 9–2 · nuke, 30 May →
62%Best headshot accuracy · 9–5 · eldorado, 22 Aug →
383msFastest reaction time · 10–13 · inferno, 11 Oct →
13–2Biggest win · nuke, 16 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
13–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 80% over 5ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
nukeA2214–864%0.00
ancientC166–1038%0.01
mirageB157–847%0.01
cacheS118–373%0.01
infernoA95–456%0.06
dust2S54–180%0.03
trainA53–260%0.00
overpass—42–250%0.00
vertigo—30–30%-0.06
anubis—22–0100%0.01
poseidon—20–20%-0.08
sanctum—20–20%-0.06
debris—11–0100%-0.07
eldorado—11–0100%0.03
stronghold—11–0100%0.23
alpine—11–0100%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

145,914Lifetime kills
0.83K/D
6,460Matches
44.0%Match win rate
44.1%Headshot %
18.2%Shot accuracy · Top 25% of Level 10 players
15,167MVPs
4,388Hours (in match)
5,398Bombs planted
1,610Bombs defused

Most-used weapons

AK-4742,447
AWP29,143
P2503,792
Knife3,182
SSG 082,784
FAMAS1,978

Lifetime map wins

7,363nuke
6,147inferno
4,870vertigo
3,928train
2,558dust2
1,230cbble
248lake
119office

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

Faceit stats

Combat

2,183Matches
51%Win rate
1.03Avg K/D
76.4ADR
41%Headshot %

Clutches & streaks

36%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient22058%1.1516.7
Nuke19355%1.0816.3
Inferno9436%0.8714.3
Cache7462%1.1617.2
Anubis7333%0.9114.7
Train6162%1.1116.1
Mirage5848%0.9414.6
Vertigo3339%1.0317.5

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.

23.7%Headshot accuracy
35.4%Accuracy (enemy spotted)
34.2%Spray accuracy
78.3%Counter-strafing
8.0°Preaim
508msReaction time
40.3%T opening success
49.2%CT opening success
0.56Enemies flashed / flash
8.3%Flash assists
7.72HE damage / grenade
7.00Flashes / match

Recommended for you

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–130.0233%11 Oct →
cache13–70.1627%6 Oct →
dust213–110.0320%3 Oct →
nuke9–130.0323%1 Oct →
ancient8–13-0.0117%28 Sept →
ancient13–16-0.0220%27 Sept →
ancient11–13-0.0222%23 Sept →
inferno5–13-0.0558%20 Sept →
nuke11–130.0126%20 Sept →
nuke13–2-0.0418%16 Sept →
cache19–170.0136%13 Sept →
nuke2–13-0.0313%13 Sept →
nuke13–110.0625%5 Sept →
anubis13–90.0613%4 Sept →
cache13–6-0.0020%4 Sept →
ancient13–9-0.0222%30 Aug →
cache3–13-0.030%30 Aug →
debris9–7-0.0722%22 Aug →
eldorado9–50.0362%22 Aug →
poseidon7–9-0.190%22 Aug →
ancient3–130.0028%22 Aug →
mirage13–80.0012%22 Aug →
cache16–140.0418%20 Aug →
cache11–13-0.0243%20 Aug →
vertigo10–13-0.0215%18 Aug →
nuke10–13-0.0533%9 Aug →
ancient13–110.0113%27 Jul →
mirage13–60.0832%5 Jul →
ancient13–70.1129%5 Jul →
stronghold13–20.2335%5 Jul →
mirage10–130.0115%5 Jul →
inferno6–130.0524%5 Jul →
cache13–8-0.0416%2 Jul →
nuke8–13-0.0128%25 Jun →
sanctum4–9-0.1714%15 Jun →
nuke5–9-0.0722%15 Jun →
nuke9–20.2825%30 May →
nuke28–250.0018%24 May →
alpine13–80.0742%24 May →
mirage6–13-0.0314%22 May →
nuke13–50.0745%13 May →
vertigo8–8-0.0540%13 May →
inferno9–60.1235%13 May →
ancient13–60.0417%11 May →
mirage13–50.0116%11 May →
nuke10–13-0.0018%10 May →
vertigo6–13-0.1014%10 May →
overpass13–9-0.0224%8 May →
nuke13–5-0.0326%4 May →
cache13–90.0024%2 May →
cache13–70.0432%2 May →
cache3–13-0.0322%1 May →
cache13–110.0321%30 Apr →
train3–13-0.0627%30 Apr →
ancient9–130.0241%23 Apr →
nuke13–6-0.0029%20 Apr →
nuke16–12-0.0417%19 Apr →
inferno10–13-0.0123%12 Apr →
nuke13–11-0.0522%7 Apr →
poseidon8–80.0321%3 Apr →
sanctum8–80.0414%3 Apr →
dust213–70.0737%11 Mar →
mirage9–130.0427%2 Feb →
ancient4–13-0.0229%2 Feb →
mirage13–50.0921%2 Feb →
ancient7–13-0.0732%29 Jan →
mirage4–13-0.0127%29 Jan →
mirage16–120.0418%28 Jan →
inferno13–100.0419%28 Jan →
anubis13–11-0.0521%28 Jan →
nuke13–6-0.0243%28 Jan →
train13–16-0.0026%18 Jan →
nuke13–11-0.0138%18 Jan →
overpass13–70.0631%18 Jan →
ancient5–130.0018%18 Jan →
nuke13–110.0138%18 Jan →
inferno13–90.1132%18 Jan →
train13–7-0.0125%13 Jan →
ancient8–13-0.0128%8 Jan →
train13–40.0022%8 Jan →
nuke13–100.0329%8 Jan →
overpass6–13-0.0123%30 Dec →
mirage11–13-0.0510%30 Dec →
nuke5–13-0.0521%30 Dec →
inferno13–70.1142%30 Dec →
ancient9–130.0619%30 Dec →
ancient16–120.0530%29 Dec →
dust213–90.0328%29 Dec →
inferno13–110.1523%29 Dec →
mirage13–7-0.0144%29 Dec →
ancient13–70.0121%29 Dec →
overpass6–13-0.0116%29 Dec →
mirage13–6-0.0128%29 Dec →
mirage6–13-0.0411%28 Dec →
nuke13–4-0.0022%28 Dec →
dust213–90.0311%28 Dec →
train13–110.0931%28 Dec →
mirage11–130.0214%28 Dec →
mirage9–13-0.0621%28 Dec →
dust211–130.0129%28 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 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.