𝑆𝑚𝑜𝑙𝑅𝑒𝑋 — CS2 Stats

CA76561199107057438[U:1:1146791710]Steam profile ↗✓ No bans

1,349Tracked matches69%Win rate2021Tracked since

2,736Hours in CS1Hrs last 2 wks

CSDB Rating7.5 StrongPositional Player

Premier CS Rating25,118Top 10% of 205,052 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

CSDB Leaderboard#19164 of 252286 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanSilver II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 25,118 → 25,118

+7Tracked matches · now 1,349

−6.9ppWin rate · 75.9% → 69.0%

Rating over time

Premier CS Rating: 25,118 +1 28 Aug – 22 Sept · 13 days played

Faceit ELO: 865 +0 30 Aug – 22 Sept · 7 observations

26,100Peak Premier in tracked matches

865Highest Faceit ELO seen on CSDB

23Days played since 2026-08-28

Premier CS Rating

982 below peak (26,100)
+1 over 30 days · steady
Next: Gold band at 30,000 — 4,882 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-30
Pink band first seen 2026-08-30

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.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	56	—	—
Win rate	59%	—	—
K/D	1.18	—	—
Headshot %	54%	—	—

Measured 14 Sep 2026 → 16 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,918), 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 5 median	Level 6 median	vs Level 6
Headshot rate	47.5%	43.7%	44.8%	above
Shot accuracy	9.3%	12.0%	12.4%	3.2% short
Kill/death ratio	0.79	1.02	1.03	0.24 short
Match win rate	46.5%	44.7%	45.2%	above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim86

Positioning59

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY63–30–7Last 10063%Win rateLLWLWLWWWL

Last 10 vs previous 10: −40pp win rate · −0.06 avg rating · −5.3pp headshot accuracy · +76ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 684ms

Last 10

5–5 · 50% win rate
Avg rating -0.00
Avg headshot accuracy 18%
Avg reaction 626ms

Last 20

14–6 · 70% win rate
Avg rating 0.03
Avg headshot accuracy 21%
Avg reaction 588ms

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 (+1.5 against its own average).

Aim8.6

Utility4.8

Positioning5.9

Opening Duels3.3

Clutch3.6

Sharp aimerLimited 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 sh1ro 98% playstyle similarity

Most alike: aim profile, positioning 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

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. 577ms 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

Aim8.6

Positioning5.9

Utility4.8

Mechanics8.1

Opening Duels4.4

Win Impact10.0

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time579ms+16ms

first ⅓ avg 563ms → last ⅓ avg 579ms

Headshot accuracy21.2%−1.5%

first ⅓ avg 22.7% → last ⅓ avg 21.2%

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

0.14Best match rating · 13–2 · anubis, 28 Aug →

50%Best headshot accuracy · 8–1 · overpass, 8 Sept →

344msFastest reaction time · 13–5 · inferno, 8 Sept →

13–0Biggest win · nuke, 30 Aug →

Across the last 100 tracked matches.

Highlights

12Longest win streak

L2Current streak

8–4In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 88% over 8ancientWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	38	20–18	53%	-0.01
mirage	A	14	9–5	64%	0.01
nuke	S	11	8–3	73%	0.01
inferno	S	10	7–3	70%	-0.00
anubis	S	9	7–2	78%	0.02
cache	S	8	7–1	88%	0.02
ancient	D	6	2–4	33%	0.00
vertigo	—	3	2–1	67%	-0.01
overpass	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

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

Lifetime stats

104,217Lifetime kills

0.79K/D

3,320Matches

46.5%Match win rate · Top 50% of Level 5 players

47.5%Headshot % · Top 50% of Level 5 players

9.3%Shot accuracy

11,156MVPs

3,241Hours (in match)

3,470Bombs planted

2,256Bombs defused

Most-used weapons

AK-4740,943

AWP17,074

M4A4 / M4A1-S15,032

Desert Eagle7,945

P2000 / USP-S4,661

Glock-183,761

Galil AR2,238

MP91,523

FAMAS1,417

MAC-101,302

Lifetime map wins

9,435inferno

8,220dust2

2,120nuke

1,794vertigo

962train

162cbble

110office

14italy

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

Faceit stats

Combat

65Matches

52%Win rate

0.99Avg K/D

71.2ADR

50%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	67%	0.98	15.2
Dust2	17	41%	0.85	12.8
Anubis	10	70%	1.40	16.2
Cache	5	40%	0.91	16.0
Ancient	3	33%	1.33	24.3
Vertigo	3	33%	0.68	10.7
Overpass	2	100%	1.31	19.0
Nuke	2	50%	0.81	13.0

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.

21.4%Headshot accuracy

38.0%Accuracy (enemy spotted)

36.8%Spray accuracy

86.3%Counter-strafing

7.7°Preaim

577msReaction time

52.9%T opening success

42.0%CT opening success

0.59Enemies flashed / flash

6.1%Flash assists

15.16HE damage / grenade

2.17Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.1712 — below the 4 mark we flag
Grenade Lineups →

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.

33% win rate across 6 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
vertigo	10–13	0.00	26%	23 Sept →
dust2	7–13	-0.11	0%	23 Sept →
dust2	13–7	0.04	33%	23 Sept →
dust2	4–13	-0.01	16%	23 Sept →
dust2	13–4	0.02	14%	23 Sept →
dust2	4–13	-0.01	15%	21 Sept →
dust2	13–8	0.06	19%	21 Sept →
dust2	13–4	-0.02	19%	21 Sept →
dust2	13–8	0.01	16%	21 Sept →
nuke	11–13	-0.02	23%	19 Sept →
dust2	8–13	0.05	22%	19 Sept →
anubis	13–5	0.08	24%	19 Sept →
cache	13–3	0.10	23%	19 Sept →
mirage	13–8	0.05	21%	19 Sept →
mirage	13–8	0.07	15%	19 Sept →
dust2	13–9	0.11	18%	18 Sept →
ancient	13–10	-0.02	32%	18 Sept →
cache	13–6	0.05	31%	18 Sept →
dust2	13–11	0.01	33%	18 Sept →
inferno	13–4	0.05	16%	18 Sept →
dust2	7–2	-0.04	33%	18 Sept →
mirage	13–5	0.06	14%	18 Sept →
mirage	13–9	0.08	21%	17 Sept →
mirage	4–13	-0.06	16%	17 Sept →
cache	13–9	-0.02	18%	17 Sept →
dust2	12–12	-0.05	26%	17 Sept →
dust2	13–2	0.08	30%	17 Sept →
inferno	13–7	0.03	30%	17 Sept →
mirage	9–13	0.03	14%	17 Sept →
nuke	3–13	0.05	27%	17 Sept →
dust2	6–13	-0.08	10%	16 Sept →
nuke	13–2	-0.09	12%	16 Sept →
nuke	13–7	0.01	32%	16 Sept →
dust2	13–5	0.02	24%	16 Sept →
cache	13–10	-0.07	20%	16 Sept →
dust2	9–13	0.01	19%	15 Sept →
dust2	12–12	0.02	39%	15 Sept →
anubis	5–13	-0.13	10%	13 Sept →
dust2	13–11	-0.03	18%	13 Sept →
mirage	12–12	-0.02	18%	13 Sept →
ancient	12–12	-0.00	21%	12 Sept →
dust2	13–11	-0.08	21%	10 Sept →
inferno	12–12	-0.05	18%	10 Sept →
dust2	13–5	0.01	6%	10 Sept →
dust2	7–13	-0.04	11%	10 Sept →
dust2	8–13	-0.09	14%	10 Sept →
anubis	13–9	0.06	22%	10 Sept →
dust2	13–11	0.00	42%	9 Sept →
anubis	13–6	-0.03	13%	8 Sept →
cache	13–3	0.07	24%	8 Sept →
overpass	8–1	-0.04	50%	8 Sept →
inferno	13–5	-0.08	18%	8 Sept →
mirage	13–3	0.03	22%	8 Sept →
ancient	13–7	0.00	7%	8 Sept →
mirage	9–13	0.01	19%	8 Sept →
nuke	13–4	-0.02	35%	8 Sept →
nuke	13–11	0.05	14%	7 Sept →
dust2	8–13	-0.05	33%	6 Sept →
anubis	8–13	-0.04	26%	6 Sept →
nuke	13–10	-0.02	28%	6 Sept →
ancient	3–13	0.04	20%	6 Sept →
dust2	12–12	-0.01	21%	6 Sept →
dust2	6–13	-0.06	29%	6 Sept →
anubis	16–12	0.03	33%	6 Sept →
cache	18–22	0.02	19%	5 Sept →
anubis	13–6	0.04	42%	5 Sept →
dust2	14–16	0.04	20%	4 Sept →
anubis	13–2	0.05	23%	4 Sept →
dust2	11–13	-0.04	27%	3 Sept →
ancient	6–8	0.04	30%	2 Sept →
vertigo	13–6	-0.01	6%	1 Sept →
inferno	12–12	-0.02	31%	1 Sept →
dust2	13–8	0.02	24%	1 Sept →
dust2	13–8	-0.00	24%	31 Aug →
nuke	13–8	0.04	35%	31 Aug →
cache	13–9	-0.01	12%	30 Aug →
mirage	13–2	0.01	15%	30 Aug →
dust2	13–11	-0.06	24%	30 Aug →
nuke	8–13	-0.03	17%	30 Aug →
inferno	13–1	0.01	22%	30 Aug →
dust2	5–13	-0.08	9%	30 Aug →
inferno	13–8	0.06	36%	30 Aug →
nuke	13–0	0.13	32%	30 Aug →
mirage	9–13	-0.08	30%	30 Aug →
dust2	13–7	-0.06	15%	30 Aug →
cache	13–3	-0.02	30%	30 Aug →
nuke	13–10	-0.03	22%	29 Aug →
dust2	13–4	-0.03	14%	29 Aug →
inferno	13–11	0.01	29%	29 Aug →
inferno	13–2	0.04	26%	29 Aug →
mirage	13–9	-0.07	24%	29 Aug →
ancient	5–13	-0.05	21%	29 Aug →
dust2	9–13	-0.06	20%	29 Aug →
vertigo	13–0	-0.03	14%	29 Aug →
mirage	13–1	-0.03	12%	29 Aug →
dust2	10–13	-0.05	14%	29 Aug →
anubis	13–2	0.14	29%	28 Aug →
mirage	13–5	0.12	50%	28 Aug →
inferno	7–13	-0.08	16%	28 Aug →
dust2	13–11	0.00	16%	28 Aug →