Sven — CS2 Stats

DE76561198007811848[U:1:47546120]Steam profile ↗✓ No bans

2,087Tracked matches72%Win rate2020Tracked since

7,226Hours in CS21Hrs last 2 wks

CSDB Rating8.1 StrongAll-Rounder

Premier CS Rating27,215Top 5% of 212,910 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)

CSDB Leaderboard#5415 of 259748 tracked

FaceitLevel 10 · 2,000 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 27,215 +632 9 Aug – 2 Nov · 15 days played

27,460Peak Premier in tracked matches

2,000Highest Faceit ELO seen on CSDB

27Days played since 2026-08-09

Faceit ELO

At peak — 2,000
Next: Level 10 at 2,001 — 1 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-28
Level 8 first seen 2026-08-28

Premier CS Rating

At peak — 27,215
+2,878 over 30 days · improving
+632 over 90 days
Next: Gold band at 30,000 — 2,785 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-28
Pink band first seen 2026-08-28

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=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.

Metric	This player	Level 10 median
Headshot rate	64.6%	50.9%
Shot accuracy	16.9%	13.7%
Kill/death ratio	0.95	1.09
Match win rate	49.1%	48.4%

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Performance scores

Aim89

Positioning66

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateLLWWLWWWLL

Last 10 vs previous 10: −20pp win rate · −0.07 avg rating · −10.2pp headshot accuracy · −48ms reaction

Win rate down 20pp 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

2–3 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 17%
Avg reaction 478ms

Last 10

5–5 · 50% win rate
Avg rating -0.00
Avg headshot accuracy 18%
Avg reaction 486ms

Last 20

12–7–1 · 60% win rate
Avg rating 0.03
Avg headshot accuracy 23%
Avg reaction 510ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.9

Utility6.4

Positioning6.6

Opening Duels4.7

Clutch6.8

Sharp aimer

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

Plays most like Twistzz 97% playstyle similarity

Most alike: aim 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 44% 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

Aim8.9

Positioning6.6

Utility6.4

Mechanics8.0

Opening Duels5.7

Win Impact10.0

Composite 8.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time525ms−1ms

first ⅓ avg 526ms → last ⅓ avg 525ms

Headshot accuracy22.5%−1.8%

first ⅓ avg 24.3% → last ⅓ avg 22.5%

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 · 13–5 · dust2, 25 Oct →

47%Best headshot accuracy · 13–8 · ancient, 9 Aug →

391msFastest reaction time · 13–4 · cache, 3 Oct →

13–1Biggest win · dust2, 10 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

L2Current streak

7–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 90% over 10anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	21	13–8	62%	0.01
cache	A	19	11–8	58%	0.03
inferno	C	18	7–11	39%	0.01
ancient	S	10	9–1	90%	0.01
anubis	D	9	3–6	33%	0.03
mirage	B	8	4–4	50%	0.00
vertigo	D	6	2–4	33%	0.04
nuke	—	3	3–0	100%	0.06
train	—	3	1–2	33%	-0.00
office	—	2	1–1	50%	0.08
shelter	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

319,349Lifetime kills

0.95K/D

7,229Matches

49.1%Match win rate · Top 50% of Level 10 players

64.6%Headshot % · Top 10% of Level 10 players

16.9%Shot accuracy · Top 25% of Level 10 players

24,632MVPs

14,497Hours (in match)

4,138Bombs planted

2,076Bombs defused

Most-used weapons

AK-47154,850

M4A4 / M4A1-S53,109

P2000 / USP-S32,862

Desert Eagle22,557

AWP17,964

Glock-187,994

P2505,373

FAMAS2,777

SG 5532,324

SSG 082,274

Lifetime map wins

12,128dust2

10,588inferno

2,438nuke

2,174train

1,877vertigo

1,062cbble

350office

130italy

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

Faceit stats

Combat

680Matches

55%Win rate

1.31Avg K/D

87.3ADR

53%Headshot %

Clutches & streaks

54%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	72	56%	1.27	18.9
Dust2	68	60%	1.35	17.1
Ancient	28	50%	1.26	18.4
Anubis	17	47%	1.63	20.1
Vertigo	17	53%	1.19	17.6
Mirage	14	43%	1.11	17.7
Nuke	12	50%	1.09	19.4
Cache	9	67%	1.43	18.0

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.

22.3%Headshot accuracy

37.7%Accuracy (enemy spotted)

41.0%Spray accuracy

86.2%Counter-strafing

8.7°Preaim

528msReaction time

62.1%T opening success

43.6%CT opening success

0.63Enemies flashed / flash

7.2%Flash assists

9.67HE damage / grenade

13.64Flashes / match

Recommended for you

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	1–13	-0.08	20%	3 Nov →
anubis	11–13	0.06	17%	2 Nov →
ancient	13–9	-0.02	15%	2 Nov →
dust2	13–8	-0.07	16%	2 Nov →
dust2	10–13	-0.03	18%	2 Nov →
mirage	13–6	0.02	12%	2 Nov →
ancient	13–6	-0.04	24%	2 Nov →
office	13–10	0.15	22%	1 Nov →
office	6–13	0.01	14%	1 Nov →
dust2	3–13	-0.03	19%	26 Oct →
dust2	13–10	-0.04	30%	26 Oct →
nuke	13–4	0.13	37%	26 Oct →
cache	13–9	0.11	34%	25 Oct →
dust2	13–5	0.19	26%	25 Oct →
nuke	13–11	0.04	24%	25 Oct →
cache	12–12	0.10	21%	21 Oct →
cache	13–7	0.06	37%	21 Oct →
dust2	9–13	0.01	19%	20 Oct →
cache	7–13	0.05	24%	20 Oct →
cache	13–4	0.03	27%	18 Oct →
inferno	13–5	0.03	20%	18 Oct →
dust2	13–10	0.03	20%	18 Oct →
dust2	16–13	0.03	23%	18 Oct →
cache	13–7	-0.03	27%	17 Oct →
anubis	16–14	-0.00	23%	17 Oct →
inferno	8–13	0.01	23%	17 Oct →
ancient	13–4	0.06	20%	17 Oct →
dust2	13–7	-0.02	16%	17 Oct →
mirage	13–4	-0.00	23%	17 Oct →
ancient	13–9	0.01	19%	17 Oct →
cache	13–7	0.05	25%	17 Oct →
inferno	13–6	0.08	22%	17 Oct →
ancient	13–6	0.02	26%	11 Oct →
inferno	7–13	0.02	16%	11 Oct →
cache	8–13	0.00	34%	11 Oct →
mirage	6–13	0.02	19%	11 Oct →
dust2	13–9	0.04	34%	11 Oct →
cache	13–11	-0.00	20%	11 Oct →
cache	13–7	-0.02	6%	11 Oct →
mirage	13–2	0.03	22%	9 Oct →
cache	7–13	-0.07	19%	9 Oct →
ancient	13–8	0.06	21%	9 Oct →
ancient	13–9	0.07	27%	9 Oct →
inferno	13–6	-0.01	26%	9 Oct →
inferno	11–13	0.04	29%	9 Oct →
train	13–10	0.04	26%	8 Oct →
train	9–13	-0.02	15%	8 Oct →
dust2	13–6	0.01	31%	4 Oct →
nuke	13–4	0.02	19%	4 Oct →
vertigo	13–7	0.06	25%	4 Oct →
inferno	7–13	-0.04	17%	4 Oct →
dust2	8–13	-0.10	20%	3 Oct →
mirage	4–13	-0.02	9%	3 Oct →
ancient	2–13	-0.02	21%	3 Oct →
cache	13–4	0.11	29%	3 Oct →
dust2	7–13	-0.00	26%	3 Oct →
vertigo	12–12	0.06	17%	1 Oct →
anubis	13–6	0.05	26%	30 Sept →
train	8–13	-0.03	19%	30 Sept →
inferno	13–3	0.05	30%	30 Sept →
dust2	10–9	0.04	26%	30 Sept →
anubis	9–13	-0.05	27%	29 Sept →
dust2	13–11	-0.07	17%	29 Sept →
cache	7–13	-0.01	29%	29 Sept →
inferno	19–17	-0.00	24%	28 Sept →
anubis	4–13	-0.03	35%	28 Sept →
dust2	8–13	-0.08	18%	27 Sept →
vertigo	12–12	0.04	25%	27 Sept →
dust2	13–3	0.06	21%	27 Sept →
shelter	13–7	0.06	23%	23 Sept →
mirage	14–16	0.01	16%	23 Sept →
ancient	13–9	-0.02	29%	23 Sept →
mirage	13–9	0.04	23%	23 Sept →
vertigo	12–12	0.02	16%	23 Sept →
vertigo	10–13	0.02	16%	23 Sept →
inferno	11–13	-0.04	23%	20 Sept →
anubis	9–13	0.03	29%	20 Sept →
cache	13–7	-0.01	14%	20 Sept →
inferno	13–10	0.06	32%	20 Sept →
dust2	10–13	0.00	23%	20 Sept →
dust2	13–3	0.07	27%	17 Sept →
inferno	13–16	-0.01	20%	13 Aug →
cache	8–13	0.04	27%	13 Aug →
inferno	17–19	0.02	29%	13 Aug →
inferno	13–6	0.01	15%	12 Aug →
anubis	13–6	0.14	21%	12 Aug →
inferno	11–13	-0.05	18%	11 Aug →
vertigo	13–11	0.05	26%	11 Aug →
dust2	10–13	0.00	16%	11 Aug →
anubis	14–16	0.04	28%	11 Aug →
cache	3–13	-0.02	19%	10 Aug →
inferno	5–13	-0.04	31%	10 Aug →
cache	11–13	0.06	20%	10 Aug →
dust2	13–1	0.08	43%	10 Aug →
anubis	14–16	0.01	16%	10 Aug →
cache	13–10	0.09	38%	9 Aug →
inferno	11–13	-0.01	18%	9 Aug →
cache	13–9	0.01	29%	9 Aug →
inferno	12–16	-0.01	25%	9 Aug →
ancient	13–8	0.02	47%	9 Aug →