[PN] sebb — CS2 Stats

DE76561199031964892[U:1:1071699164]Steam profile ↗✓ No bans

1,211Tracked matches50%Win rate2020Tracked since

2,352Hours in CS21Hrs last 2 wks

CSDB Rating6.9 SolidPositional Player

Premier CS Rating18,233Purple band · top ~15.5% of ranked players (population est.)

CSDB Leaderboard#109174 of 258877 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 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: 18,233 -1,766 3 Sept – 29 Oct · 25 days played

21,142Peak Premier in tracked matches

24Days played since 2026-09-03

Premier CS Rating

2,909 below peak (21,142)
+486 over 30 days · improving
Next: Pink band at 20,000 — 1,767 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-03
Blue band first seen 2026-09-03

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 4 among CSDB-tracked players (n=14,630), 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 4 median	Level 5 median	vs Level 5
Headshot rate	47.7%	42.7%	43.8%	above
Shot accuracy	12.6%	11.2%	12.0%	above
Kill/death ratio	1.03	0.99	1.02	meets
Match win rate	46.5%	43.9%	44.7%	above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim76

Positioning70

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateWLWWWLLWLL

Last 10 vs previous 10: +10pp win rate · −0.05 avg rating · −4.3pp headshot accuracy · +16ms 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

4–1 · 80% win rate
Avg rating -0.01
Avg headshot accuracy 14%
Avg reaction 550ms

Last 10

5–5 · 50% win rate
Avg rating -0.00
Avg headshot accuracy 16%
Avg reaction 593ms

Last 20

9–11 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 18%
Avg reaction 585ms

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 (+2.3 against its own average).

Aim7.6

Utility6.6

Positioning7.0

Opening Duels5.3

Clutch0.0

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 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile.

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

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 576ms 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

Aim7.6

Positioning7.0

Utility6.6

Mechanics6.5

Opening Duels7.7

Win Impact5.0

Composite 6.9/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time584ms+24ms

first ⅓ avg 560ms → last ⅓ avg 584ms

Headshot accuracy19.3%−0.4%

first ⅓ avg 19.7% → last ⅓ avg 19.3%

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

0.21Best match rating · 13–2 · nuke, 13 Oct →

35%Best headshot accuracy · 9–1 · dust2, 21 Sept →

445msFastest reaction time · 13–9 · ancient, 17 Oct →

13–2Biggest win · nuke, 16 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

12–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 50% over 14mirageWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	28	10–18	36%	0.02
inferno	C	18	8–10	44%	0.02
nuke	B	15	7–8	47%	0.05
mirage	D	15	4–11	27%	0.01
ancient	B	14	7–7	50%	0.04
anubis	D	7	2–5	29%	-0.01
cache	—	2	2–0	100%	0.07
train	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,486Lifetime kills

1.03K/D · Top 50% of Level 4 players

2,834Matches

46.5%Match win rate · Top 50% of Level 4 players

47.7%Headshot % · Top 50% of Level 4 players

12.6%Shot accuracy · Top 50% of Level 4 players

7,371MVPs

1,175Hours (in match)

4,391Bombs planted

635Bombs defused

Most-used weapons

AK-4718,608

M4A4 / M4A1-S9,836

AWP5,432

P2000 / USP-S3,814

Desert Eagle3,085

Glock-183,062

MP91,999

MP71,597

SSG 081,483

MAC-101,248

Lifetime map wins

6,844dust2

6,706inferno

2,360nuke

860office

675vertigo

434train

100cbble

28lake

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

Faceit stats

Combat

14Matches

79%Win rate

1.36Avg K/D

106.0ADR

42%Headshot %

Clutches & streaks

0%1v1 clutch win

86%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	3	100%	1.37	27.0
Nuke	1	100%	1.67	20.0

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.

19.5%Headshot accuracy

37.5%Accuracy (enemy spotted)

41.3%Spray accuracy

79.3%Counter-strafing

10.8°Preaim

576msReaction time

66.6%T opening success

54.8%CT opening success

0.59Enemies flashed / flash

12.0%Flash assists

9.84HE damage / grenade

9.65Flashes / match

Recommended for you

Spend your practice time on Mirage

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–11	-0.09	11%	29 Oct →
nuke	3–13	0.04	15%	24 Oct →
dust2	13–10	0.00	19%	24 Oct →
inferno	13–11	-0.00	10%	24 Oct →
dust2	13–7	0.01	17%	24 Oct →
dust2	9–13	-0.03	21%	24 Oct →
inferno	13–16	-0.01	13%	20 Oct →
cache	13–9	0.07	16%	20 Oct →
inferno	7–13	0.05	26%	18 Oct →
nuke	8–13	-0.05	14%	18 Oct →
dust2	10–13	0.05	17%	18 Oct →
dust2	10–13	0.02	32%	18 Oct →
mirage	11–13	0.09	13%	18 Oct →
inferno	4–13	0.02	15%	17 Oct →
dust2	13–10	0.05	24%	17 Oct →
ancient	13–11	0.05	14%	17 Oct →
ancient	13–9	0.05	20%	17 Oct →
dust2	9–13	-0.03	20%	16 Oct →
ancient	13–11	0.09	25%	16 Oct →
dust2	9–13	0.07	26%	16 Oct →
inferno	16–13	0.01	23%	16 Oct →
nuke	13–2	0.18	24%	16 Oct →
ancient	13–5	0.08	30%	16 Oct →
mirage	13–6	0.04	27%	16 Oct →
inferno	14–16	-0.02	17%	15 Oct →
ancient	13–3	-0.02	26%	15 Oct →
mirage	13–7	0.14	28%	15 Oct →
inferno	11–13	0.04	24%	15 Oct →
mirage	7–13	-0.02	15%	15 Oct →
dust2	8–13	0.02	11%	15 Oct →
anubis	7–13	-0.07	14%	14 Oct →
nuke	7–13	-0.04	10%	14 Oct →
nuke	13–6	0.01	20%	14 Oct →
dust2	11–4	0.00	13%	14 Oct →
mirage	10–13	0.08	20%	14 Oct →
ancient	14–16	0.06	23%	14 Oct →
inferno	16–14	0.04	18%	14 Oct →
nuke	13–3	0.07	27%	13 Oct →
nuke	13–2	0.21	17%	13 Oct →
inferno	5–13	0.01	17%	13 Oct →
dust2	11–13	0.02	17%	13 Oct →
train	13–8	0.05	21%	9 Oct →
dust2	3–13	-0.05	33%	9 Oct →
anubis	13–7	0.03	11%	9 Oct →
mirage	10–13	-0.01	29%	9 Oct →
mirage	13–16	-0.02	14%	9 Oct →
ancient	13–16	0.08	14%	8 Oct →
dust2	13–5	0.08	29%	8 Oct →
mirage	11–13	-0.02	22%	8 Oct →
nuke	11–13	0.03	13%	8 Oct →
mirage	13–10	0.02	17%	8 Oct →
nuke	15–15	0.13	16%	6 Oct →
inferno	13–9	0.07	26%	6 Oct →
nuke	13–9	0.09	32%	6 Oct →
dust2	4–13	-0.01	33%	2 Oct →
nuke	15–15	0.00	20%	2 Oct →
nuke	13–10	0.09	24%	2 Oct →
ancient	9–13	0.08	16%	2 Oct →
inferno	13–11	0.07	17%	2 Oct →
dust2	10–13	0.01	19%	2 Oct →
ancient	9–13	0.02	14%	28 Sept →
nuke	4–13	0.17	30%	28 Sept →
inferno	12–12	0.01	34%	28 Sept →
dust2	13–16	0.02	21%	27 Sept →
mirage	10–13	-0.04	13%	27 Sept →
anubis	13–11	-0.03	22%	27 Sept →
dust2	13–7	0.07	16%	27 Sept →
inferno	10–13	0.01	21%	27 Sept →
mirage	6–13	-0.02	16%	27 Sept →
dust2	8–13	0.06	22%	26 Sept →
inferno	13–11	0.01	16%	26 Sept →
dust2	13–11	0.05	28%	26 Sept →
mirage	12–12	-0.04	24%	26 Sept →
inferno	13–6	0.04	21%	26 Sept →
ancient	7–6	0.03	26%	26 Sept →
anubis	6–13	-0.01	17%	25 Sept →
mirage	3–13	-0.03	16%	25 Sept →
mirage	13–8	0.01	18%	25 Sept →
mirage	3–13	-0.04	11%	25 Sept →
dust2	13–5	0.02	33%	25 Sept →
nuke	4–13	-0.03	27%	21 Sept →
dust2	7–13	-0.02	21%	21 Sept →
dust2	9–1	0.05	35%	21 Sept →
dust2	13–8	0.01	26%	20 Sept →
inferno	4–13	-0.05	17%	20 Sept →
inferno	13–11	0.13	18%	18 Sept →
anubis	11–13	-0.02	15%	18 Sept →
dust2	10–13	0.06	17%	18 Sept →
dust2	11–13	0.00	17%	18 Sept →
anubis	4–13	-0.01	15%	18 Sept →
cache	13–7	0.07	19%	15 Sept →
ancient	6–13	0.01	28%	15 Sept →
dust2	9–13	0.06	21%	15 Sept →
ancient	13–11	0.05	16%	15 Sept →
ancient	9–13	0.02	15%	14 Sept →
dust2	5–13	-0.01	18%	14 Sept →
dust2	13–16	0.08	20%	14 Sept →
anubis	5–13	0.01	4%	12 Sept →
ancient	10–13	-0.02	14%	12 Sept →
inferno	10–13	-0.05	19%	11 Sept →