Szejkofff — CS2 Stats

76561199854853708[U:1:1894587980]Steam profile ↗✓ No bans

336Tracked matches43%Win rate2025Tracked since

1,147Hours in CS72Hrs last 2 wks

CSDB Rating5.2 DevelopingAggressive Rifler

Premier CS Rating17,764Purple band · top ~17.4% of ranked players (population est.)

CSDB Leaderboard#17232 of 33337 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	31.4%	44.1%	47.2%	15.8% short
Shot accuracy	0.0%	11.4%	12.7%	12.7% short
Kill/death ratio	1.00	1.03	1.09	0.09 short
Match win rate	46.1%	45.2%	46.6%	meets

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim75

Positioning56

Utility14

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLWWWLLWWLW

Last 10 vs previous 10: +40pp win rate · -0.02 avg rating

Player DNA

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

Aim7.5

Aggression7.6

Utility1.4

Positioning5.6

Opening Duels3.4

Limited utility dependence

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 ropz 84% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower aim profile; lower 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 554ms 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

Aim7.5

Positioning5.6

Utility1.4

Mechanics6.8

Opening Duels3.4

Win Impact2.6

Composite 5.2/10 (Developing), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time554ms−52ms

first ⅓ avg 605ms → last ⅓ avg 554ms

Headshot accuracy12.5%−0.4%

first ⅓ avg 12.9% → last ⅓ avg 12.5%

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.

Highlights

0.11Best rating — ancient 13–4

13–2Biggest win — nuke

6Longest win streak

4–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 64% over 22anubisWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	29	12–17	41%	0.01
nuke	A	22	14–8	64%	0.01
ancient	A	16	9–7	56%	0.03
anubis	D	15	5–10	33%	0.02
dust2	C	12	5–7	42%	0.00
cache	—	4	2–2	50%	0.04
inferno	—	2	0–2	0%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,694Lifetime kills

1.00K/D

1,305Matches

46.1%Match win rate · Top 50% of Purple band

31.4%Headshot %

0.0%Shot accuracy

3,070MVPs

505Hours (in match)

1,160Bombs planted

401Bombs defused

Most-used weapons

AK-477,538

M4A4 / M4A1-S5,853

P2000 / USP-S1,118

Glock-18945

Galil AR861

MP9811

MAC-10797

AWP712

FAMAS453

Five-SeveN318

Lifetime map wins

3,197nuke

1,409dust2

791inferno

74train

25vertigo

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.3%Headshot accuracy

41.2%Accuracy (enemy spotted)

44.2%Spray accuracy

80.5%Counter-strafing

11.6°Preaim

554msReaction time

41.4%T opening success

46.1%CT opening success

0.31Enemies flashed / flash

3.5%Flash assists

1.89HE damage / grenade

1.68Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.2552% — below the 15% mark we flag
Aim Training →
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 0.3093 — below the 0.5 mark we flag
Grenade Lineups →

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 15 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
ancient	14–16	-0.00	8%	29 Aug →
ancient	13–9	-0.01	10%	29 Aug →
nuke	13–2	0.01	10%	29 Aug →
mirage	13–4	0.05	26%	29 Aug →
nuke	2–9	-0.13	8%	28 Aug →
nuke	5–13	-0.00	11%	27 Aug →
anubis	16–13	0.05	10%	27 Aug →
nuke	13–10	0.02	13%	27 Aug →
ancient	6–13	0.03	8%	26 Aug →
cache	13–9	0.00	11%	26 Aug →
mirage	11–13	-0.01	11%	25 Aug →
mirage	13–8	0.05	10%	25 Aug →
anubis	8–13	0.01	10%	25 Aug →
dust2	10–13	0.01	14%	24 Aug →
mirage	14–16	-0.01	8%	23 Aug →
nuke	3–13	-0.01	19%	22 Aug →
mirage	13–9	0.04	13%	22 Aug →
ancient	2–13	0.02	19%	22 Aug →
ancient	15–15	0.08	10%	21 Aug →
cache	11–13	0.02	7%	21 Aug →
anubis	13–10	0.08	12%	21 Aug →
anubis	15–15	-0.02	19%	21 Aug →
anubis	5–13	0.01	10%	21 Aug →
mirage	7–13	-0.01	12%	20 Aug →
cache	13–7	0.05	10%	20 Aug →
nuke	13–8	0.11	16%	20 Aug →
anubis	5–13	0.01	8%	19 Aug →
ancient	6–13	-0.01	21%	19 Aug →
mirage	16–12	0.02	14%	19 Aug →
dust2	8–13	-0.07	9%	18 Aug →
mirage	7–13	-0.03	16%	17 Aug →
nuke	13–10	-0.00	16%	17 Aug →
nuke	15–15	0.03	11%	17 Aug →
inferno	10–13	-0.02	14%	17 Aug →
mirage	16–14	0.01	11%	17 Aug →
anubis	15–15	0.06	11%	17 Aug →
ancient	13–4	0.11	23%	17 Aug →
dust2	13–4	0.00	19%	17 Aug →
mirage	9–13	-0.03	6%	17 Aug →
mirage	13–10	0.04	8%	16 Aug →
anubis	13–9	0.05	14%	16 Aug →
mirage	8–13	-0.02	9%	16 Aug →
mirage	8–13	0.07	14%	16 Aug →
ancient	11–13	-0.00	9%	16 Aug →
nuke	13–3	0.08	7%	15 Aug →
mirage	3–13	0.06	15%	15 Aug →
mirage	11–13	0.03	13%	15 Aug →
anubis	6–13	0.02	10%	13 Aug →
mirage	13–7	0.05	19%	13 Aug →
anubis	15–15	-0.03	14%	13 Aug →
anubis	8–13	-0.06	8%	12 Aug →
ancient	13–9	0.11	13%	12 Aug →
nuke	13–11	-0.03	13%	11 Aug →
anubis	2–7	0.06	8%	10 Aug →
dust2	7–13	-0.00	13%	10 Aug →
nuke	7–13	0.01	9%	10 Aug →
ancient	10–13	-0.03	8%	10 Aug →
ancient	13–7	0.03	9%	10 Aug →
mirage	6–13	0.02	12%	10 Aug →
mirage	10–13	-0.02	16%	9 Aug →
mirage	15–15	0.02	10%	9 Aug →
nuke	16–13	0.02	12%	9 Aug →
inferno	11–13	-0.07	9%	9 Aug →
nuke	9–7	-0.04	15%	9 Aug →
anubis	13–6	0.04	24%	8 Aug →
nuke	13–8	0.04	9%	8 Aug →
nuke	12–12	0.02	8%	6 Aug →
nuke	13–8	0.07	19%	6 Aug →
dust2	4–13	-0.05	14%	6 Aug →
dust2	7–13	0.05	11%	30 Jul →
ancient	13–6	0.06	6%	30 Jul →
mirage	1–13	-0.06	17%	30 Jul →
nuke	13–9	-0.02	9%	29 Jul →
anubis	7–13	0.05	17%	29 Jul →
mirage	7–13	0.05	9%	29 Jul →
mirage	6–13	-0.04	12%	29 Jul →
nuke	13–6	-0.01	13%	28 Jul →
mirage	13–9	-0.05	17%	28 Jul →
ancient	13–6	0.01	8%	28 Jul →
mirage	10–13	0.00	8%	26 Jul →
nuke	9–13	-0.02	9%	26 Jul →
dust2	9–13	0.02	20%	26 Jul →
dust2	13–4	0.04	22%	26 Jul →
mirage	13–6	-0.03	18%	26 Jul →
nuke	13–8	0.08	9%	25 Jul →
ancient	13–8	0.08	11%	25 Jul →
cache	3–13	0.10	21%	25 Jul →
mirage	13–2	0.08	9%	22 Jul →
dust2	13–6	0.02	14%	22 Jul →
ancient	13–11	0.00	14%	21 Jul →
anubis	13–4	0.05	9%	21 Jul →
nuke	13–5	-0.01	8%	21 Jul →
ancient	13–9	0.03	9%	21 Jul →
nuke	9–13	0.03	12%	21 Jul →
dust2	16–13	0.00	16%	21 Jul →
mirage	13–6	-0.00	6%	21 Jul →
mirage	13–8	0.07	12%	20 Jul →
dust2	13–10	-0.03	10%	20 Jul →
mirage	5–13	0.04	24%	20 Jul →
dust2	9–13	0.05	15%	19 Jul →