Щit𝓉𝓲𝓷𝓰✎修羅✔ — CS2 Stats

76561198249445822[U:1:289180094]Steam profile ↗✓ No bans

857Tracked matches50%Win rate2021Tracked since

1,533Hours in CS

CSDB Rating4.9 DevelopingPositional Player

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 44 days played since 20 May 2026. Come back after the next session and the change shows above.

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Rating over time

21,683Peak Premier in tracked matches

44Days played since 2026-05-20

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 8 among CSDB-tracked players (n=12,738), 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 8 median	Level 9 median	vs Level 9
Headshot rate	41.9%	46.8%	48.3%	6.4% short
Shot accuracy	10.5%	13.0%	13.2%	2.7% short
Kill/death ratio	0.78	1.06	1.07	0.29 short
Match win rate	43.7%	46.3%	46.9%	3.2% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim57

Positioning46

Utility35

0–100 skill scores via Leetify.

Recent form

COLD44–39–17Last 10044%Win rateWTLWWLTLLL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +3.4pp headshot accuracy · +70ms 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

3–1–1 · 60% win rate
Avg rating -0.04
Avg headshot accuracy 18%
Avg reaction 675ms

Last 10

3–5–2 · 30% win rate
Avg rating -0.04
Avg headshot accuracy 19%
Avg reaction 692ms

Last 20

7–9–4 · 35% win rate
Avg rating -0.02
Avg headshot accuracy 18%
Avg reaction 657ms

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 (+1.2 against its own average).

Aim5.7

Utility3.5

Positioning4.6

Opening Duels1.4

Clutch4.0

Strong CT-side opener

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 NiKo 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 45% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 665ms 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

Aim5.7

Positioning4.6

Utility3.5

Mechanics6.7

Opening Duels1.9

Win Impact5.0

Composite 4.9/10 (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 rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time663ms−5ms

first ⅓ avg 668ms → last ⅓ avg 663ms

Headshot accuracy16.5%+3.5%

first ⅓ avg 13.0% → last ⅓ avg 16.5%

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

0.15Best match rating · 13–4 · dust2, 18 Aug →

35%Best headshot accuracy · 2–13 · ancient, 14 Sept →

484msFastest reaction time · 8–13 · ancient, 23 Jul →

13–1Biggest win · dust2, 20 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak

6–11In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 47% over 74ancientWeakest map · 41% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	74	35–39	47%	-0.00
ancient	C	17	7–10	41%	-0.02
mirage	—	4	1–3	25%	-0.07
inferno	—	3	1–2	33%	-0.06
anubis	—	2	0–2	0%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,817Lifetime kills

0.78K/D

3,419Matches

43.7%Match win rate

41.9%Headshot %

10.5%Shot accuracy

6,152MVPs

1,533Hours (in match)

2,607Bombs planted

444Bombs defused

Most-used weapons

AK-4723,140

M4A4 / M4A1-S12,063

P2000 / USP-S3,539

AWP3,538

Glock-182,138

MP92,052

Desert Eagle1,954

Galil AR1,714

FAMAS1,653

MAC-101,295

Lifetime map wins

17,104dust2

3,234inferno

632vertigo

358train

228nuke

166cbble

140assault

139office

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

Faceit stats

Combat

199Matches

55%Win rate

0.90Avg K/D

75.2ADR

37%Headshot %

Clutches & streaks

40%1v1 clutch win

27%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	10	80%	1.00	14.8
Vertigo	9	56%	1.03	16.8
Anubis	9	78%	0.88	13.2
Ancient	7	29%	0.91	18.0
Mirage	5	40%	0.87	13.8
Inferno	3	33%	1.13	18.3
Overpass	1	0%	0.79	15.0

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.

16.3%Headshot accuracy

34.6%Accuracy (enemy spotted)

34.5%Spray accuracy

80.0%Counter-strafing

10.2°Preaim

665msReaction time

27.5%T opening success

45.2%CT opening success

0.45Enemies flashed / flash

5.6%Flash assists

2.28HE damage / grenade

7.76Flashes / 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 0.4462 — 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 27.5331% — below the 40% mark we flag

Spend your practice time on Ancient

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	-0.02	13%	17 Sept →
ancient	15–15	-0.07	17%	16 Sept →
dust2	2–13	-0.05	23%	15 Sept →
mirage	13–9	-0.05	21%	15 Sept →
dust2	13–8	0.02	17%	15 Sept →
dust2	10–13	-0.06	15%	15 Sept →
dust2	12–12	0.02	17%	14 Sept →
mirage	9–13	-0.10	17%	14 Sept →
ancient	2–13	-0.03	35%	14 Sept →
dust2	3–13	-0.03	17%	12 Sept →
dust2	13–11	0.13	10%	11 Sept →
dust2	13–11	0.04	14%	11 Sept →
dust2	2–13	-0.04	32%	11 Sept →
dust2	11–13	-0.05	19%	10 Sept →
dust2	13–10	0.07	16%	9 Sept →
dust2	6–3	-0.02	13%	8 Sept →
ancient	2–13	-0.06	15%	8 Sept →
dust2	12–12	-0.02	15%	8 Sept →
dust2	11–13	-0.01	13%	7 Sept →
dust2	12–12	-0.01	12%	7 Sept →
dust2	11–13	0.05	21%	7 Sept →
dust2	13–7	-0.03	14%	7 Sept →
mirage	9–13	-0.07	13%	7 Sept →
dust2	3–13	-0.05	15%	7 Sept →
dust2	13–3	0.00	7%	7 Sept →
dust2	8–1	0.01	27%	7 Sept →
dust2	3–13	-0.03	30%	6 Sept →
dust2	13–6	0.02	9%	4 Sept →
dust2	13–5	0.05	13%	4 Sept →
dust2	13–11	0.02	9%	1 Sept →
dust2	13–7	0.09	16%	1 Sept →
dust2	16–14	-0.03	7%	1 Sept →
dust2	12–12	-0.04	14%	1 Sept →
dust2	12–12	0.00	8%	29 Aug →
dust2	12–12	-0.03	13%	29 Aug →
dust2	5–0	0.06	7%	28 Aug →
dust2	13–9	0.04	21%	28 Aug →
dust2	3–13	-0.04	10%	27 Aug →
dust2	14–16	-0.04	17%	27 Aug →
inferno	13–3	-0.02	9%	26 Aug →
dust2	7–13	-0.01	23%	26 Aug →
dust2	13–4	0.11	20%	26 Aug →
dust2	13–3	-0.04	19%	25 Aug →
dust2	13–3	0.02	23%	23 Aug →
dust2	9–13	-0.04	20%	22 Aug →
dust2	12–12	0.02	6%	22 Aug →
dust2	8–13	-0.01	21%	22 Aug →
inferno	4–6	-0.09	13%	20 Aug →
dust2	6–13	-0.03	16%	20 Aug →
anubis	12–12	-0.03	8%	20 Aug →
ancient	13–10	0.07	13%	20 Aug →
dust2	13–4	0.10	13%	20 Aug →
dust2	10–13	-0.05	7%	20 Aug →
dust2	13–1	-0.02	17%	20 Aug →
dust2	11–13	-0.02	8%	20 Aug →
dust2	0–3	0.01	20%	20 Aug →
ancient	13–9	0.02	17%	19 Aug →
dust2	13–8	-0.06	14%	19 Aug →
ancient	12–12	0.05	12%	18 Aug →
dust2	13–4	0.02	13%	18 Aug →
dust2	13–4	0.15	22%	18 Aug →
dust2	9–13	0.04	20%	18 Aug →
dust2	13–7	-0.00	13%	17 Aug →
dust2	13–10	-0.04	11%	17 Aug →
dust2	5–13	-0.05	10%	17 Aug →
dust2	11–13	-0.06	8%	16 Aug →
dust2	13–9	-0.01	11%	13 Aug →
dust2	12–12	0.02	18%	13 Aug →
dust2	12–12	-0.07	14%	13 Aug →
dust2	3–13	-0.04	11%	13 Aug →
dust2	9–13	0.06	15%	7 Aug →
dust2	13–5	-0.00	12%	7 Aug →
dust2	6–13	0.08	18%	6 Aug →
dust2	11–13	-0.09	11%	29 Jul →
ancient	13–10	0.03	10%	29 Jul →
dust2	13–4	-0.04	9%	29 Jul →
ancient	8–13	-0.08	9%	23 Jul →
dust2	7–13	-0.03	25%	23 Jul →
dust2	7–13	-0.07	19%	19 Jul →
dust2	13–8	0.08	13%	18 Jul →
dust2	13–6	0.00	25%	17 Jul →
ancient	15–15	-0.01	16%	17 Jul →
ancient	15–15	0.02	11%	17 Jul →
dust2	13–9	-0.01	23%	17 Jul →
ancient	11–13	-0.06	13%	16 Jul →
ancient	3–7	-0.05	13%	16 Jul →
inferno	0–5	-0.06	0%	16 Jul →
dust2	4–13	-0.08	0%	16 Jul →
ancient	15–15	-0.03	18%	13 Jul →
ancient	13–8	-0.06	5%	11 Jul →
ancient	13–4	-0.01	2%	10 Jul →
mirage	12–12	-0.06	6%	3 Jul →
dust2	13–8	0.01	15%	2 Jul →
anubis	11–13	-0.02	18%	2 Jul →
dust2	13–11	-0.05	25%	24 Jun →
dust2	12–12	-0.01	10%	17 Jun →
dust2	11–13	-0.07	18%	11 Jun →
ancient	13–4	-0.02	3%	4 Jun →
dust2	13–6	0.03	18%	4 Jun →
ancient	13–6	-0.03	5%	20 May →