𝖒𝖊𝖎𝖑𝖊𝖊 — CS2 Stats

US76561198049731279[U:1:89465551]Steam profile ↗✓ No bans

495Tracked matches47%Win rate2021Tracked since

1,423Hours in CS37Hrs last 2 wks

CSDB Rating5.2 DevelopingPositional Player

Premier CS Rating8,761Light Blue band · top ~60.8% of ranked players (population est.)

CSDB Leaderboard#165564 of 225571 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+357Premier CS Rating · 8,404 → 8,761

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. 25 days played since 18 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 8,761 -2,069 18 Aug – 18 Sept · 19 days played

10,830Peak Premier in tracked matches

25Days played since 2026-08-18

Premier CS Rating

2,069 below peak (10,830)
-1,362 over 30 days · declining
Next: Blue band at 10,000 — 1,239 to go
Reached: Blue band · Light Blue band

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 Light Blue band among CSDB-tracked players (n=8,059), 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	Light Blue band median	Blue band median	vs Blue band
Headshot rate	40.0%	39.9%	41.9%	1.9% short
Shot accuracy	12.5%	6.8%	9.6%	above
Kill/death ratio	0.95	0.91	0.98	0.03 short
Match win rate	39.6%	42.3%	43.8%	4.2% short

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

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

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim81

Positioning62

Utility18

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLWLLWWWWLW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −1.1pp headshot accuracy · −12ms 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

2–3 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 14%
Avg reaction 631ms

Last 10

6–4 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 14%
Avg reaction 622ms

Last 20

11–9 · 55% win rate
Avg rating 0.02
Avg headshot accuracy 15%
Avg reaction 628ms

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 (+3.1 against its own average).

Aim8.1

Utility1.8

Positioning6.2

Opening Duels4.4

Clutch0.0

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.

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 ropz 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 596ms 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

Aim8.1

Positioning6.2

Utility1.8

Mechanics6.6

Opening Duels4.8

Win Impact3.9

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time597ms+26ms

first ⅓ avg 570ms → last ⅓ avg 597ms

Headshot accuracy12.9%+0.1%

first ⅓ avg 12.7% → last ⅓ avg 12.9%

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.

Personal bests

0.20Best match rating · 13–1 · dust2, 7 Sept →

50%Best headshot accuracy · 13–1 · dust2, 7 Sept →

438msFastest reaction time · 13–3 · ancient, 18 Aug →

13–1Biggest win · dust2, 7 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

7–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 64% over 11cacheWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	10–13	43%	0.02
nuke	D	17	5–12	29%	-0.00
ancient	D	15	5–10	33%	0.01
mirage	B	14	7–7	50%	0.02
inferno	A	11	7–4	64%	0.03
anubis	A	8	5–3	63%	0.04
cache	D	8	2–6	25%	-0.01
office	—	2	1–1	50%	0.01
train	—	1	1–0	100%	0.14
italy	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Lifetime stats

23,489Lifetime kills

0.95K/D · Top 50% of Light Blue band

1,448Matches

39.6%Match win rate

40.0%Headshot % · Top 50% of Light Blue band

12.5%Shot accuracy · Top 50% of Light Blue band

2,552MVPs

1,074Hours (in match)

1,011Bombs planted

259Bombs defused

Most-used weapons

AK-476,690

M4A4 / M4A1-S4,810

AWP2,352

P2000 / USP-S1,291

SSG 08969

Glock-18872

Desert Eagle688

FAMAS601

Galil AR588

Knife432

Lifetime map wins

1,872inferno

1,731dust2

1,563nuke

182train

99office

93vertigo

78cbble

34italy

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

Faceit stats

Combat

2Matches

0%Win rate

0.85Avg K/D

88.9ADR

29%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	1	0%	1.07	16.0
Nuke	1	0%	0.63	12.0

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.

12.9%Headshot accuracy

44.6%Accuracy (enemy spotted)

45.0%Spray accuracy

79.7%Counter-strafing

9.8°Preaim

596msReaction time

52.6%T opening success

45.9%CT opening success

0.35Enemies flashed / flash

2.0%Flash assists

5.35HE damage / grenade

1.58Flashes / 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 12.8946% — 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 0.3532 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	8–13	0.00	13%	18 Sept →
ancient	13–6	0.04	9%	18 Sept →
anubis	7–13	-0.03	16%	17 Sept →
inferno	11–13	0.00	22%	16 Sept →
mirage	13–11	-0.02	12%	16 Sept →
inferno	13–10	-0.06	12%	16 Sept →
dust2	13–4	-0.02	15%	16 Sept →
inferno	13–4	0.11	22%	10 Sept →
mirage	7–13	0.02	15%	9 Sept →
mirage	13–10	0.00	9%	9 Sept →
cache	5–13	-0.02	17%	9 Sept →
mirage	13–9	0.04	15%	8 Sept →
nuke	10–13	-0.02	8%	8 Sept →
cache	8–13	0.02	11%	8 Sept →
cache	13–10	0.04	13%	7 Sept →
dust2	13–5	0.11	7%	7 Sept →
ancient	8–13	-0.03	16%	7 Sept →
mirage	6–13	0.04	6%	7 Sept →
nuke	13–6	0.01	10%	7 Sept →
dust2	13–1	0.20	50%	7 Sept →
anubis	6–13	0.01	9%	6 Sept →
anubis	13–6	0.09	5%	6 Sept →
ancient	10–13	0.01	17%	6 Sept →
inferno	13–8	0.04	12%	6 Sept →
dust2	11–13	0.06	15%	5 Sept →
nuke	8–13	-0.02	17%	5 Sept →
mirage	13–3	0.13	6%	5 Sept →
office	6–13	-0.03	8%	5 Sept →
nuke	11–13	0.07	6%	5 Sept →
ancient	10–13	-0.00	5%	5 Sept →
nuke	10–5	-0.06	0%	5 Sept →
dust2	13–7	-0.01	20%	5 Sept →
mirage	9–9	-0.05	7%	5 Sept →
inferno	13–9	0.08	14%	4 Sept →
dust2	13–11	0.07	21%	4 Sept →
ancient	13–3	0.07	5%	3 Sept →
mirage	5–13	-0.03	40%	3 Sept →
nuke	10–13	-0.06	13%	3 Sept →
mirage	7–13	-0.01	11%	3 Sept →
cache	13–11	-0.03	13%	3 Sept →
ancient	13–10	0.01	10%	3 Sept →
dust2	11–13	0.02	25%	3 Sept →
mirage	13–7	0.02	11%	3 Sept →
dust2	13–8	0.01	17%	3 Sept →
dust2	8–13	-0.02	11%	2 Sept →
nuke	8–13	-0.04	15%	2 Sept →
train	13–11	0.14	10%	2 Sept →
office	13–3	0.05	6%	2 Sept →
dust2	7–13	0.14	21%	2 Sept →
inferno	13–10	0.01	10%	2 Sept →
nuke	13–6	0.11	8%	1 Sept →
ancient	13–8	0.01	7%	1 Sept →
dust2	10–13	-0.03	28%	1 Sept →
ancient	2–6	0.02	9%	1 Sept →
dust2	7–13	-0.01	14%	1 Sept →
ancient	6–13	-0.01	8%	1 Sept →
dust2	5–13	-0.09	3%	31 Aug →
anubis	13–11	0.03	12%	31 Aug →
cache	5–13	0.04	9%	30 Aug →
mirage	11–13	-0.01	14%	30 Aug →
dust2	13–8	-0.01	8%	30 Aug →
dust2	13–8	-0.04	12%	29 Aug →
dust2	7–13	0.03	7%	29 Aug →
nuke	8–13	-0.06	8%	29 Aug →
nuke	5–13	-0.04	3%	28 Aug →
dust2	15–15	0.03	12%	28 Aug →
ancient	9–13	-0.03	10%	27 Aug →
mirage	15–15	0.01	7%	27 Aug →
mirage	10–13	-0.02	10%	25 Aug →
inferno	13–7	0.08	32%	25 Aug →
nuke	10–13	0.01	11%	25 Aug →
ancient	11–13	-0.07	6%	25 Aug →
cache	3–13	-0.04	18%	24 Aug →
inferno	13–11	0.04	15%	24 Aug →
mirage	13–4	0.16	20%	22 Aug →
dust2	13–6	0.06	13%	22 Aug →
inferno	2–13	-0.01	14%	22 Aug →
italy	8–13	0.01	4%	22 Aug →
anubis	13–9	0.04	7%	21 Aug →
cache	5–13	-0.04	12%	21 Aug →
ancient	8–13	0.01	5%	21 Aug →
nuke	15–15	0.06	14%	21 Aug →
anubis	13–2	0.16	22%	21 Aug →
dust2	5–13	-0.04	10%	21 Aug →
anubis	6–13	0.03	11%	21 Aug →
nuke	9–13	-0.03	8%	20 Aug →
ancient	10–13	-0.01	15%	20 Aug →
anubis	13–4	-0.01	13%	20 Aug →
dust2	10–13	0.08	25%	20 Aug →
inferno	11–13	0.02	12%	20 Aug →
nuke	9–13	-0.02	10%	19 Aug →
dust2	13–8	0.02	11%	19 Aug →
inferno	9–13	0.03	5%	19 Aug →
nuke	5–13	0.02	15%	19 Aug →
nuke	13–6	0.01	9%	18 Aug →
nuke	13–9	0.02	7%	18 Aug →
ancient	13–3	0.10	13%	18 Aug →
dust2	14–16	-0.02	14%	18 Aug →
cache	0–13	-0.04	17%	18 Aug →
ancient	5–13	0.01	16%	18 Aug →