Superstitional Realism — CS2 Stats

AU76561198296697021[U:1:336431293]Steam profile ↗✓ No bans

298Tracked matches55%Win rate2020Tracked since

646Hours in CS4Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating13,512Blue band · top ~36.3% of ranked players (population est.)

CSDB Leaderboard#18904 of 28218 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	37.7%	41.7%	44.1%	6.4% short
Shot accuracy	11.6%	8.8%	11.4%	meets
Kill/death ratio	1.03	0.97	1.03	meets
Match win rate	41.3%	43.8%	45.2%	3.9% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple 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

Aim64

Positioning63

Utility24

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateLWLLLLWWWW

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4

Aggression8.6

Utility2.4

Positioning6.3

Opening Duels4.2

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-duel success.

Where you differ: lower utility contribution; 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

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. 581ms 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

Aim6.4

Positioning6.3

Utility2.4

Mechanics7.7

Opening Duels4.2

Win Impact6.7

Composite 5.5/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time579ms−21ms

first ⅓ avg 600ms → last ⅓ avg 579ms

Headshot accuracy16.0%−2.1%

first ⅓ avg 18.1% → last ⅓ avg 16.0%

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

0.16Best rating — cache 13–0

13–0Biggest win — cache

6Longest win streak

7–4In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 63% over 8dust2Weakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	21	12–9	57%	0.02
mirage	B	19	9–10	47%	0.01
dust2	C	15	6–9	40%	-0.01
inferno	C	10	4–6	40%	-0.01
cache	B	8	4–4	50%	0.01
anubis	A	8	5–3	63%	0.02
ancient	C	7	3–4	43%	0.00
train	—	3	1–2	33%	0.03
vertigo	—	2	1–1	50%	-0.03
overpass	—	2	1–1	50%	-0.04
alpine	—	1	1–0	100%	-0.05
golden	—	1	1–0	100%	0.02
office	—	1	0–1	0%	0.06
jura	—	1	0–1	0%	-0.03
italy	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,365Lifetime kills

1.03K/D · Top 50% of Blue band

1,050Matches

41.3%Match win rate

37.7%Headshot %

11.6%Shot accuracy · Top 50% of Blue band

1,518MVPs

350Hours (in match)

957Bombs planted

128Bombs defused

Most-used weapons

AK-474,088

AWP3,161

M4A4 / M4A1-S1,525

SSG 08833

P2000 / USP-S616

P90557

XM1014544

SG 553525

AUG519

Desert Eagle475

Lifetime map wins

1,631dust2

1,197inferno

585nuke

401vertigo

280train

259office

116italy

44cbble

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.

16.6%Headshot accuracy

33.2%Accuracy (enemy spotted)

33.2%Spray accuracy

84.6%Counter-strafing

10.9°Preaim

581msReaction time

39.6%T opening success

53.7%CT opening success

0.34Enemies flashed / flash

0.9%Flash assists

11.83HE damage / grenade

1.74Flashes / 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.

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 0.3421 — below the 0.5 mark we flag
Grenade Lineups →
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 39.6487% — 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.

40% win rate across 15 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
nuke	12–16	-0.03	21%	22 Aug →
cache	13–9	-0.05	19%	22 Aug →
dust2	10–13	-0.08	26%	22 Aug →
ancient	5–13	-0.03	14%	16 Aug →
inferno	4–13	-0.03	20%	16 Aug →
dust2	5–13	-0.09	18%	16 Aug →
anubis	13–5	-0.02	17%	14 Aug →
dust2	13–2	0.02	12%	14 Aug →
ancient	13–7	0.01	14%	14 Aug →
nuke	13–6	0.10	13%	11 Aug →
mirage	13–10	0.00	15%	9 Aug →
dust2	13–6	0.08	11%	8 Aug →
mirage	8–13	0.03	12%	8 Aug →
mirage	13–10	0.05	20%	8 Aug →
nuke	13–4	0.06	15%	8 Aug →
mirage	8–13	0.02	9%	5 Aug →
anubis	7–13	0.01	23%	5 Aug →
mirage	13–2	0.05	17%	5 Aug →
vertigo	13–11	-0.04	10%	2 Aug →
cache	3–13	-0.07	3%	2 Aug →
mirage	15–15	0.06	18%	2 Aug →
ancient	10–13	-0.00	10%	1 Aug →
cache	13–0	0.16	28%	1 Aug →
inferno	13–7	0.01	13%	1 Aug →
dust2	11–13	-0.01	20%	1 Aug →
ancient	13–8	0.03	21%	30 Jul →
dust2	8–13	-0.05	23%	30 Jul →
nuke	13–5	0.01	19%	30 Jul →
cache	13–5	0.08	13%	29 Jul →
nuke	9–13	0.05	20%	29 Jul →
mirage	13–7	0.02	8%	24 Jul →
inferno	9–13	-0.04	15%	24 Jul →
anubis	13–7	0.06	12%	24 Jul →
nuke	13–9	0.05	17%	24 Jul →
cache	8–13	0.06	11%	24 Jul →
cache	4–13	-0.09	23%	24 Jul →
ancient	5–13	-0.07	13%	21 Jul →
cache	7–0	0.02	0%	6 Jul →
alpine	13–7	-0.05	8%	6 Jul →
nuke	13–5	0.06	8%	6 Jul →
nuke	9–13	-0.04	11%	30 Jun →
anubis	13–10	-0.01	15%	29 Jun →
cache	2–13	-0.02	17%	29 Jun →
nuke	16–14	-0.01	15%	21 Jun →
nuke	13–11	0.06	21%	21 Jun →
inferno	3–13	0.01	13%	21 Jun →
anubis	11–13	-0.02	9%	15 Jun →
anubis	13–6	0.03	22%	15 Jun →
inferno	9–13	0.02	16%	15 Jun →
nuke	5–13	-0.02	29%	12 Jun →
mirage	15–15	-0.04	9%	12 Jun →
vertigo	12–12	-0.02	14%	11 Jun →
inferno	13–11	-0.01	18%	10 Jun →
inferno	13–6	-0.02	18%	10 Jun →
nuke	12–12	0.05	10%	10 Jun →
mirage	13–6	-0.03	14%	9 Jun →
mirage	7–13	-0.04	11%	9 Jun →
nuke	13–5	-0.03	12%	9 Jun →
mirage	8–13	-0.03	7%	7 Jun →
mirage	12–12	-0.00	19%	7 Jun →
mirage	13–3	0.06	22%	7 Jun →
mirage	13–11	0.02	18%	28 May →
nuke	6–13	-0.05	18%	28 May →
train	9–13	0.05	23%	12 Nov →
nuke	13–10	-0.01	15%	12 Nov →
mirage	15–15	0.00	0%	27 Oct →
golden	13–5	0.02	13%	11 Oct →
inferno	13–9	0.01	21%	11 Oct →
nuke	13–5	0.14	18%	27 Sept →
anubis	13–10	0.04	13%	22 Sept →
office	8–13	0.06	11%	22 Sept →
mirage	13–8	0.02	23%	22 Sept →
jura	10–13	-0.03	9%	22 Sept →
dust2	10–13	-0.03	14%	18 Sept →
dust2	4–13	-0.07	19%	18 Sept →
nuke	9–13	0.01	25%	17 Sept →
nuke	2–13	-0.03	23%	17 Sept →
nuke	6–13	-0.00	17%	17 Sept →
dust2	7–13	0.03	19%	30 Aug →
train	13–7	0.08	16%	30 Aug →
dust2	13–9	0.06	25%	30 Aug →
anubis	9–13	0.08	17%	24 Aug →
dust2	13–10	-0.00	19%	22 Aug →
dust2	9–13	-0.03	16%	22 Aug →
mirage	6–13	-0.03	9%	22 Aug →
mirage	7–13	0.03	15%	18 Aug →
dust2	13–7	-0.02	21%	14 Aug →
ancient	13–10	0.03	6%	14 Aug →
overpass	13–8	-0.05	22%	13 Aug →
ancient	3–13	0.03	17%	13 Aug →
mirage	9–1	-0.00	37%	13 Aug →
nuke	16–12	-0.00	14%	10 Aug →
nuke	13–11	0.02	15%	10 Aug →
dust2	11–13	-0.07	18%	10 Aug →
inferno	9–13	-0.06	19%	10 Aug →
dust2	16–14	0.05	8%	9 Aug →
train	5–13	-0.05	42%	8 Aug →
italy	10–13	-0.04	15%	8 Aug →
overpass	14–16	-0.02	15%	7 Aug →
inferno	12–12	0.00	17%	6 Aug →