Svfsebastian

Svfsebastian — CS2 Stats

DK76561198079389886[U:1:119124158]Steam profile ↗✓ No bans

2,463Tracked matches64%Win rate2020Tracked since
5,016Hours in CS
CSDB Rating6.1 SolidPositional Player
CSDB Leaderboard#78170 of 237403 tracked
FaceitLevel 9 · 1,899 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 61 days played since 24 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,999 -575 21 Mar26 Jun · 6 days played
19,61520,574peak 20,57421 Mar26 Jun
20,574Peak Premier in tracked matches
1,899Highest Faceit ELO seen on CSDB
61Days played since 2026-02-24

Faceit ELO

  • At peak — 1,899
  • Next: Level 10 at 2,001 102 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=13,629), 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 rate54.9%48.3%51.0%above
Shot accuracy8.9%13.2%13.7%4.8% short
Kill/death ratio0.831.071.090.26 short
Match win rate43.3%46.9%48.4%5.1% short

This profile matches the typical Level 10 player on 1 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.GGSvfsebastianFACEITLevel 9 · 1,899 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,899csdb.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

Aim69
Positioning62
Utility46

0–100 skill scores via Leetify.

Recent form

HOT52462Last 10052%Win rateWLWLWWWTWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −2.8pp headshot accuracy · +5ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 642ms

Last 10

  • 721 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 634ms

Last 20

  • 1172 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 632ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim6.9
Utility4.6
Positioning6.2
Opening Duels5.3
Clutch3.4

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

donk

Plays most like donk 89% 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

T-side openings. Opening success drops from 58% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 630ms 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

Aim6.9
Positioning6.2
Utility4.6
Mechanics6.3
Opening Duels4.7
Win Impact9.8

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time632ms−59ms
first ⅓ avg 691ms → last ⅓ avg 632ms
Headshot accuracy26.3%+2.8%
first ⅓ avg 23.5% → last ⅓ avg 26.3%

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

0.19Best match rating · 13–2 · ancient, 9 Jun
46%Best headshot accuracy · 13–11 · nuke, 8 Sept
391msFastest reaction time · 13–11 · inferno, 23 Apr
13–2Biggest win · ancient, 9 Jun

Across the last 100 tracked matches.

Highlights

5Longest win streak
1611In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 67% over 12cacheWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB27141352%-0.01
ancientB1991047%0.01
mirageB158753%-0.01
anubisS128467%0.01
infernoA116555%-0.02
overpassB84450%-0.03
cacheC52340%-0.00
dust221150%0.02
cache_b1010%-0.06

Across the last 100 tracked matches.

Lifetime stats

171,376Lifetime kills
0.83K/D
7,081Matches
43.3%Match win rate
54.9%Headshot % · Top 25% of Level 9 players
8.9%Shot accuracy
18,268MVPs
5,016Hours (in match)
5,143Bombs planted
1,410Bombs defused

Most-used weapons

AK-4774,626
AWP14,612
Knife4,546
P904,336
MAC-102,653
Tec-92,450

Lifetime map wins

13,884dust2
10,086inferno
8,905nuke
3,371vertigo
2,424train
946cbble
82lake
58office

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

Faceit stats

Combat

3,371Matches
50%Win rate
1.02Avg K/D
81.7ADR
55%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient71051%1.0617.2
Nuke51256%1.0716.9
Inferno38247%1.0216.1
Mirage22441%0.9615.8
Dust222044%0.9415.5
Anubis21051%1.0316.7
Train12757%1.1117.3
Overpass12545%1.0517.0

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.

26.7%Headshot accuracy
32.8%Accuracy (enemy spotted)
33.7%Spray accuracy
78.2%Counter-strafing
10.4°Preaim
630msReaction time
39.2%T opening success
58.0%CT opening success
0.49Enemies flashed / flash
9.4%Flash assists
8.57HE damage / grenade
5.78Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4899 — below the 0.5 mark we flag

    Grenade Lineups
  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 39.2274% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0231%20 Sept
mirage5–13-0.0719%18 Sept
ancient13–80.0421%11 Sept
ancient8–13-0.0916%11 Sept
ancient13–8-0.0015%10 Sept
nuke13–11-0.0546%8 Sept
ancient13–110.0526%8 Sept
nuke15–150.0632%8 Sept
nuke13–40.0727%24 Aug
nuke13–11-0.0123%23 Aug
inferno13–8-0.0738%22 Aug
nuke13–11-0.0221%21 Aug
inferno10–130.0130%21 Aug
mirage14–16-0.0334%20 Aug
mirage15–150.0327%20 Aug
nuke19–160.0322%16 Aug
ancient13–80.0232%7 Aug
ancient3–13-0.0517%5 Aug
cache11–13-0.0326%5 Aug
nuke11–13-0.0437%3 Aug
nuke16–14-0.0025%3 Aug
cache13–8-0.0130%3 Aug
cache10–13-0.0023%13 Jul
nuke13–16-0.0128%5 Jul
overpass13–50.0023%4 Jul
nuke10–130.0125%2 Jul
nuke13–4-0.0322%2 Jul
nuke13–90.0119%2 Jul
inferno13–110.0127%2 Jul
nuke13–10-0.0131%27 Jun
ancient13–110.0322%26 Jun
cache9–130.0120%26 Jun
mirage13–4-0.0133%23 Jun
overpass11–13-0.027%19 Jun
ancient9–130.0123%16 Jun
anubis7–130.0736%16 Jun
nuke13–100.0439%15 Jun
overpass13–60.0117%12 Jun
anubis13–16-0.0222%10 Jun
ancient13–20.1937%9 Jun
overpass7–13-0.0414%7 Jun
nuke11–13-0.0326%5 Jun
nuke11–130.0219%4 Jun
anubis13–100.0437%26 May
mirage13–8-0.0628%26 May
mirage13–11-0.0225%23 May
anubis6–13-0.0323%23 May
nuke8–13-0.0124%18 May
mirage13–40.0423%18 May
ancient9–130.0528%18 May
overpass13–11-0.0417%18 May
anubis13–80.0127%18 May
nuke3–13-0.0135%9 May
overpass13–11-0.0133%8 May
mirage13–60.0221%7 May
ancient14–160.0632%3 May
nuke8–13-0.0836%2 May
cache13–80.0327%2 May
anubis6–13-0.0919%28 Apr
inferno13–11-0.0314%23 Apr
anubis13–100.0521%11 Apr
cache_b3–13-0.0628%11 Apr
anubis13–100.0223%9 Apr
ancient13–80.0527%9 Apr
nuke8–13-0.0422%6 Apr
inferno4–130.0128%4 Apr
ancient10–13-0.0320%3 Apr
nuke11–130.0423%2 Apr
overpass6–13-0.0814%2 Apr
inferno14–16-0.0222%2 Apr
ancient13–70.0021%1 Apr
ancient13–40.0424%31 Mar
mirage6–13-0.0825%30 Mar
mirage3–13-0.0319%30 Mar
ancient9–13-0.0330%29 Mar
mirage13–20.1113%28 Mar
ancient2–13-0.1213%28 Mar
anubis13–80.0624%28 Mar
nuke0–13-0.0523%28 Mar
inferno13–11-0.0133%26 Mar
nuke13–20.1230%26 Mar
nuke13–11-0.0819%23 Mar
inferno14–16-0.0525%22 Mar
anubis13–80.0621%22 Mar
mirage13–11-0.0221%21 Mar
nuke13–11-0.0823%21 Mar
inferno2–13-0.0340%21 Mar
anubis16–12-0.0218%20 Mar
mirage13–9-0.0521%20 Mar
nuke8–13-0.0321%20 Mar
dust213–70.0521%17 Mar
ancient11–130.0343%17 Mar
ancient8–13-0.0320%14 Mar
mirage13–160.0335%4 Mar
dust29–13-0.0122%28 Feb
overpass1–5-0.0722%28 Feb
inferno13–11-0.0512%28 Feb
mirage10–13-0.0213%28 Feb
inferno13–60.0437%28 Feb
anubis13–10-0.0330%24 Feb

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →