Sven — CS2 Stats

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

2,005Tracked matches43%Win rate2020Tracked since

14,407Hours in CS

CSDB Rating7.2 StrongAggressive Rifler

Premier CS Rating26,153Top 25% of 819 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)

CSDB Leaderboard#1348 of 13268 tracked

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

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	64.3%	52.8%
Shot accuracy	17.3%	13.7%
Kill/death ratio	0.96	1.08
Match win rate	49.1%	49.2%

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Performance scores

Aim93

Positioning65

Utility56

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLLLWWLWLLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.3

Aggression6.8

Utility5.6

Positioning6.5

Opening Duels3.3

Clutch7.0

Sharp aimerExcellent counter-strafingReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like b1t 95% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

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

Aim9.3

Positioning6.5

Utility5.6

Mechanics8.6

Opening Duels3.3

Win Impact2.8

Composite 7.2/10 (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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time515ms−18ms

first ⅓ avg 534ms → last ⅓ avg 515ms

Headshot accuracy24.9%−3.6%

first ⅓ avg 28.4% → last ⅓ avg 24.9%

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.

Highlights

0.28Best rating — shelter 13–6

13–0Biggest win — ancient

5Longest win streak

L3Current streak

8–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 52% over 25dust2Weakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	25	13–12	52%	0.02
cache	C	18	8–10	44%	0.03
anubis	B	16	8–8	50%	0.02
ancient	C	12	5–7	42%	0.03
dust2	D	9	3–6	33%	0.01
vertigo	—	4	2–2	50%	0.02
nuke	—	4	1–3	25%	-0.02
mirage	—	4	2–2	50%	0.00
overpass	—	4	0–4	0%	-0.00
train	—	3	3–0	100%	0.01
shelter	—	1	1–0	100%	0.28

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

312,059Lifetime kills

0.96K/D

7,102Matches

49.1%Match win rate

64.3%Headshot % · Top 25% of Level 10 players

17.3%Shot accuracy · Top 25% of Level 10 players

24,322MVPs

14,407Hours (in match)

4,046Bombs planted

2,052Bombs defused

Most-used weapons

AK-47150,605

M4A4 / M4A1-S52,029

P2000 / USP-S32,072

Desert Eagle22,074

AWP17,910

Glock-187,858

P2505,229

FAMAS2,747

SG 5532,324

SSG 082,174

Lifetime map wins

11,924dust2

10,445inferno

2,412nuke

2,145train

1,831vertigo

1,062cbble

331office

130italy

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

Faceit stats

Combat

658Matches

54%Win rate

1.31Avg K/D

87.5ADR

53%Headshot %

Clutches & streaks

55%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	66	58%	1.30	19.1
Dust2	62	60%	1.34	17.2
Ancient	26	50%	1.27	18.5
Vertigo	16	50%	1.17	17.4
Anubis	16	50%	1.68	20.3
Mirage	14	43%	1.11	17.7
Nuke	10	40%	1.07	20.0
Overpass	9	56%	1.52	21.7

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.

25.3%Headshot accuracy

37.9%Accuracy (enemy spotted)

43.3%Spray accuracy

88.5%Counter-strafing

8.1°Preaim

521msReaction time

35.9%T opening success

50.7%CT opening success

0.57Enemies flashed / flash

7.3%Flash assists

8.39HE damage / grenade

11.88Flashes / 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.

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 35.9049% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
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 →
shelter	13–6	0.28	37%	9 Aug →
train	13–7	-0.00	20%	9 Aug →
vertigo	8–13	0.01	29%	9 Aug →
inferno	6–13	-0.06	38%	9 Aug →
ancient	9–13	-0.05	20%	16 Jul →
anubis	13–2	-0.04	13%	16 Jul →
anubis	0–13	-0.03	20%	16 Jul →
cache	2–0	0.00	0%	16 Jul →
inferno	13–7	-0.01	23%	13 Jul →
cache	9–13	0.05	25%	13 Jul →
inferno	13–6	0.10	32%	13 Jul →
nuke	8–13	-0.05	25%	13 Jul →
dust2	12–12	0.03	32%	13 Jul →
cache	13–16	0.03	20%	12 Jul →
anubis	13–9	0.03	24%	12 Jul →
inferno	13–9	0.04	26%	12 Jul →
inferno	7–13	-0.02	18%	12 Jul →
mirage	8–13	0.01	35%	12 Jul →
cache	13–5	-0.04	22%	12 Jul →
ancient	13–10	0.02	19%	12 Jul →
inferno	13–10	0.00	23%	12 Jul →
cache	13–6	0.13	22%	12 Jul →
cache	4–13	-0.03	29%	12 Jul →
anubis	16–14	0.04	26%	12 Jul →
ancient	8–13	0.03	27%	11 Jul →
cache	13–9	0.14	29%	11 Jul →
mirage	13–11	0.00	17%	9 Jul →
anubis	13–9	0.08	21%	9 Jul →
ancient	13–9	0.02	19%	9 Jul →
inferno	13–6	0.04	14%	9 Jul →
anubis	4–13	-0.03	23%	9 Jul →
dust2	13–9	0.01	42%	5 Jul →
anubis	10–13	-0.03	13%	5 Jul →
inferno	13–8	0.01	25%	5 Jul →
ancient	13–5	0.01	37%	5 Jul →
nuke	9–13	0.01	31%	5 Jul →
dust2	6–13	-0.06	42%	5 Jul →
overpass	4–13	-0.02	25%	5 Jul →
inferno	13–1	0.02	26%	5 Jul →
inferno	13–4	0.07	24%	3 Jul →
mirage	13–11	-0.04	25%	3 Jul →
anubis	13–10	-0.01	26%	2 Jul →
inferno	15–15	0.02	32%	2 Jul →
overpass	7–13	0.01	37%	2 Jul →
anubis	13–7	0.05	21%	2 Jul →
cache	10–13	0.01	25%	1 Jul →
cache	10–13	0.01	16%	1 Jul →
ancient	13–0	0.19	25%	29 Jun →
anubis	6–13	-0.02	33%	29 Jun →
dust2	14–16	-0.05	30%	17 Jun →
nuke	13–10	-0.03	12%	15 Jun →
ancient	7–13	0.03	16%	15 Jun →
dust2	2–13	-0.07	26%	14 Jun →
inferno	8–13	0.08	24%	14 Jun →
anubis	5–13	-0.02	19%	13 Jun →
mirage	2–13	0.04	24%	13 Jun →
nuke	6–13	-0.01	37%	13 Jun →
overpass	2–13	-0.04	19%	13 Jun →
dust2	7–13	0.08	39%	13 Jun →
ancient	10–13	0.00	25%	13 Jun →
ancient	4–13	0.00	31%	13 Jun →
inferno	11–13	0.04	39%	13 Jun →
inferno	13–7	0.02	28%	7 Jun →
anubis	7–13	0.04	26%	7 Jun →
ancient	7–13	0.07	33%	7 Jun →
inferno	13–10	0.08	41%	7 Jun →
cache	13–11	-0.03	30%	7 Jun →
vertigo	6–13	0.02	21%	7 Jun →
vertigo	13–10	0.01	21%	7 Jun →
inferno	5–13	-0.02	39%	6 Jun →
cache	13–4	0.21	34%	6 Jun →
anubis	13–11	-0.00	23%	19 May →
cache	0–13	-0.02	30%	19 May →
inferno	13–2	0.15	24%	19 May →
overpass	11–13	0.05	30%	19 May →
ancient	12–12	0.01	23%	19 May →
train	13–2	0.07	45%	19 May →
cache	5–13	-0.04	36%	18 May →
train	13–5	-0.04	24%	18 May →
dust2	13–11	0.08	33%	18 May →
inferno	16–13	0.08	24%	17 May →