svN-

svN- — CS2 Stats

DE76561197962720335[U:1:2454607]Steam profile ↗✓ No bans

2,690Tracked matches63%Win rate2020Tracked since
2,979Hours in CS31Hrs last 2 wks
CSDB Rating6.6 SolidSupport
CSDB Leaderboard#27631 of 259983 tracked
FaceitLevel 10 · 2,076 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,547 -2,439 3 Jul – 12 Oct · 17 days played
22,71026,986peak 26,9863 Jul12 Oct
Faceit ELO: 2,076 +0 4 Sept – 2 Oct · 3 observations
2,0762,076peak 2,0764 Sept2 Oct
26,986Peak Premier in tracked matches
2,076Highest Faceit ELO seen on CSDB
44Days played since 2026-07-03

Faceit ELO

  • At peak — 2,076
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 424 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-04
  • Level 9 first seen 2026-09-04

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches10175+26
Win rate53%57%−4pp
K/D1.041.06−0.03
Headshot %54%55%−0pp

Measured 2 Oct 2026 → 5 Nov 2026; previous 4 Sep 2026 → 2 Oct 2026.

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 Level 10 among CSDB-tracked players (n=30,986), 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 rate56.9%50.9%
Shot accuracy7.9%13.7%
Kill/death ratio1.061.09
Match win rate51.1%48.4%

Share this profile

CSDB.GGsvN-FACEITLevel 10 · 2,076 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO2,076csdb.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

Aim78
Positioning56
Utility64

0–100 skill scores via Leetify.

Recent form

HOT59–38–3Last 10059%Win rateWWLWLWWWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −2.6pp headshot accuracy · +23ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 514ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 528ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 516ms

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 (+2.2 against its own average).

Aim7.8
Utility6.4
Positioning5.6
Opening Duels2.1
Clutch2.8

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 85% 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

CT openings. Opening success drops from 58% on T to 35% on CT — first contacts on the defending side are being lost.

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

Aim7.8
Positioning5.6
Utility6.4
Mechanics5.5
Opening Duels4.1
Win Impact9.4

Composite 6.6/10 (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 rating0.03+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.03
Reaction time547ms−68ms
first ⅓ avg 615ms → last ⅓ avg 547ms
Headshot accuracy24.2%+2.9%
first ⅓ avg 21.3% → last ⅓ avg 24.2%

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 · 9–5 · inferno, 30 Oct →
43%Best headshot accuracy · 9–5 · inferno, 30 Oct →
398msFastest reaction time · 13–9 · ancient, 19 Oct →
13–1Biggest win · inferno, 18 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
10–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 86% over 7anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoS2719–870%0.03
ancientB2111–1052%0.00
dust2B126–650%0.04
cacheA116–555%-0.01
nukeA85–363%0.01
anubisD72–529%-0.00
mirageS76–186%0.03
vertigo—31–233%-0.01
office—22–0100%-0.01
train—10–10%-0.04
overpass—11–0100%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

81,736Lifetime kills
1.06K/D
3,637Matches
51.1%Match win rate · Top 50% of Level 10 players
56.9%Headshot % · Top 25% of Level 10 players
7.9%Shot accuracy
11,743MVPs
2,528Hours (in match)
6,158Bombs planted
2,136Bombs defused

Most-used weapons

AK-4733,128
AWP6,323
MP92,760
P2502,078
MAC-101,668

Lifetime map wins

13,248inferno
3,327train
3,134dust2
2,371nuke
1,483vertigo
275office
142cbble
26italy

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

Faceit stats

Combat

1,374Matches
51%Win rate
1.11Avg K/D
75.0ADR
51%Headshot %

Clutches & streaks

34%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno27858%1.1915.3
Anubis17751%1.1316.1
Ancient11748%1.0014.2
Mirage8240%1.0114.7
Nuke7845%1.0114.0
Overpass7253%1.1514.9
Dust24937%0.9715.1
Vertigo3339%1.1716.0

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.

23.5%Headshot accuracy
36.4%Accuracy (enemy spotted)
34.3%Spray accuracy
74.7%Counter-strafing
9.4°Preaim
543msReaction time
58.2%T opening success
34.5%CT opening success
0.55Enemies flashed / flash
5.0%Flash assists
8.76HE damage / grenade
13.84Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.5234% — below the 40% mark we flag

Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–9-0.0521%4 Nov →
dust213–40.0624%2 Nov →
inferno19–22-0.0020%31 Oct →
inferno9–50.2143%30 Oct →
anubis6–130.004%30 Oct →
inferno13–80.0320%25 Oct →
dust213–70.0620%23 Oct →
mirage13–60.0326%23 Oct →
dust213–110.1031%23 Oct →
dust213–70.0731%23 Oct →
cache11–130.0226%23 Oct →
train1–13-0.0419%23 Oct →
office13–40.0438%22 Oct →
inferno13–110.0222%22 Oct →
mirage13–80.0631%22 Oct →
dust213–110.1224%20 Oct →
overpass13–40.0318%20 Oct →
nuke13–100.0229%19 Oct →
ancient13–9-0.0119%19 Oct →
vertigo6–90.0338%18 Oct →
ancient13–110.0633%12 Oct →
ancient10–130.0330%12 Oct →
dust29–130.0124%12 Oct →
inferno9–20.0718%9 Oct →
cache9–13-0.0421%8 Oct →
cache13–5-0.015%4 Oct →
dust27–130.0225%4 Oct →
anubis3–13-0.0523%4 Oct →
inferno13–10-0.0625%25 Sept →
cache13–100.0722%24 Sept →
mirage4–13-0.0625%24 Sept →
inferno8–130.0826%22 Sept →
inferno13–20.0920%19 Sept →
ancient13–40.0131%18 Sept →
dust210–13-0.0725%18 Sept →
inferno13–10.1727%18 Sept →
dust212–120.0722%18 Sept →
mirage13–60.1329%18 Sept →
ancient8–130.0816%17 Sept →
ancient13–30.0217%17 Sept →
ancient13–8-0.0822%17 Sept →
inferno16–190.0126%9 Sept →
inferno13–11-0.0120%8 Sept →
ancient10–130.0228%8 Sept →
ancient13–10-0.0024%8 Sept →
nuke3–13-0.0624%8 Sept →
ancient13–100.0817%5 Sept →
ancient13–8-0.0222%4 Sept →
ancient13–16-0.0221%4 Sept →
inferno13–50.1323%4 Sept →
ancient15–150.0124%3 Sept →
inferno13–100.0122%31 Aug →
inferno13–10-0.065%27 Aug →
ancient5–13-0.0521%27 Aug →
inferno13–11-0.0119%22 Aug →
inferno10–13-0.0623%22 Aug →
cache13–100.0319%20 Aug →
ancient8–130.0131%20 Aug →
inferno13–40.0038%14 Aug →
nuke13–70.0931%12 Aug →
inferno14–16-0.0221%7 Aug →
anubis8–13-0.0215%7 Aug →
anubis23–250.0121%3 Aug →
nuke8–13-0.0117%24 Jul →
nuke16–130.0125%22 Jul →
nuke13–6-0.0033%21 Jul →
nuke6–130.0318%20 Jul →
inferno15–150.0119%17 Jul →
mirage13–90.0716%17 Jul →
anubis16–140.0323%17 Jul →
cache13–1-0.0442%17 Jul →
ancient6–130.0219%17 Jul →
ancient8–13-0.0623%16 Jul →
inferno13–20.1218%16 Jul →
nuke13–7-0.0221%16 Jul →
anubis16–140.0521%16 Jul →
anubis14–16-0.0320%16 Jul →
cache13–4-0.0627%15 Jul →
dust28–130.0315%15 Jul →
ancient13–110.0925%15 Jul →
inferno13–80.0122%15 Jul →
cache3–13-0.0215%15 Jul →
ancient13–11-0.0617%15 Jul →
cache7–13-0.0724%14 Jul →
vertigo2–9-0.0933%14 Jul →
inferno13–80.0637%14 Jul →
cache13–5-0.0227%14 Jul →
cache7–130.0718%14 Jul →
inferno4–130.0116%14 Jul →
inferno13–10-0.0217%13 Jul →
inferno13–100.1021%12 Jul →
ancient9–13-0.0813%3 Jul →
inferno4–9-0.0727%3 Jul →
ancient13–5-0.0114%3 Jul →
mirage13–40.0120%3 Jul →
dust210–13-0.0710%3 Jul →
inferno13–7-0.0115%3 Jul →
mirage13–80.0018%3 Jul →
vertigo13–70.0132%3 Jul →
dust213–20.0620%3 Jul →

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 →

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