𓆞 SA1MON 𓆝 — CS2 Stats

76561199051357433[U:1:1091091705]Steam profile ↗✓ No bans

1,916Tracked matches75%Win rate2020Tracked since

3,144Hours in CS11Hrs last 2 wks

CSDB Rating6.1 SolidPositional Player

FaceitLevel 9 · 1,960 ELOTop 20.7% 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. Today is the first observation — history builds from here and cannot be backfilled. 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 →

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=12,915), 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 9 median	Level 10 median	vs Level 10
Headshot rate	47.3%	48.3%	51.0%	3.7% short
Shot accuracy	14.6%	13.2%	13.7%	above
Kill/death ratio	1.35	1.07	1.09	above
Match win rate	56.9%	46.9%	48.4%	above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 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

Aim79

Positioning65

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY59–36–5Last 10059%Win rateWWWLWWWLLL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +1.1pp headshot accuracy · −75ms 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

4–1 · 80% win rate
Avg rating 0.04
Avg headshot accuracy 25%
Avg reaction 464ms

Last 10

6–4 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 22%
Avg reaction 516ms

Last 20

11–8–1 · 55% win rate
Avg rating 0.02
Avg headshot accuracy 22%
Avg reaction 554ms

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 (+1.3 against its own average).

Aim7.9

Utility3.5

Positioning6.5

Opening Duels5.9

Clutch4.8

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 s1mple 95% 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.

T-side openings. Opening success drops from 60% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9

Positioning6.5

Utility3.5

Mechanics5.1

Opening Duels4.7

Win Impact10.0

Composite 6.1/10 (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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time552ms−28ms

first ⅓ avg 580ms → last ⅓ avg 552ms

Headshot accuracy22.9%+2.8%

first ⅓ avg 20.1% → last ⅓ avg 22.9%

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

0.18Best match rating · 13–1 · ancient, 6 Sept →

50%Best headshot accuracy · 1–9 · inferno, 5 Sept →

313msFastest reaction time · 7–1 · dust2, 7 Jul →

13–1Biggest win · ancient, 6 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

W3Current streak

6–7In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 80% over 5infernoWeakest map · 47% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	31	21–10	68%	0.03
mirage	B	23	11–12	48%	0.02
inferno	B	19	9–10	47%	-0.01
ancient	S	6	4–2	67%	0.05
nuke	S	5	4–1	80%	0.04
cache	—	4	2–2	50%	0.01
train	—	4	3–1	75%	0.02
anubis	—	3	3–0	100%	0.04
overpass	—	3	1–2	33%	0.04
vertigo	—	2	1–1	50%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,223Lifetime kills

1.35K/D · Top 25% of Level 9 players

3,852Matches

56.9%Match win rate · Top 5% of Level 9 players

47.3%Headshot %

14.6%Shot accuracy · Top 50% of Level 9 players

12,243MVPs

1,357Hours (in match)

2,466Bombs planted

986Bombs defused

Most-used weapons

AK-4730,864

M4A4 / M4A1-S17,178

AWP10,290

Desert Eagle6,073

P2000 / USP-S4,688

Glock-183,753

Galil AR1,926

MP91,678

FAMAS1,610

MAC-101,053

Lifetime map wins

10,365dust2

9,441vertigo

3,908inferno

2,899nuke

790train

139office

103cbble

47lake

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

Faceit stats

Combat

376Matches

58%Win rate

1.31Avg K/D

85.0ADR

41%Headshot %

Clutches & streaks

44%1v1 clutch win

17%1v2 clutch win

19Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	44	66%	1.19	18.0
Ancient	26	54%	1.18	18.8
Mirage	14	43%	1.00	14.5
Nuke	9	44%	1.12	16.0
Vertigo	7	29%	0.93	16.7
Inferno	6	67%	1.48	22.8
Anubis	4	50%	1.19	14.5
Train	3	33%	1.20	17.7

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.

22.5%Headshot accuracy

35.2%Accuracy (enemy spotted)

38.6%Spray accuracy

73.1%Counter-strafing

8.9°Preaim

533msReaction time

37.8%T opening success

59.5%CT opening success

0.45Enemies flashed / flash

3.7%Flash assists

7.04HE damage / grenade

6.51Flashes / 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 0.4458 — 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 37.7697% — below the 40% mark we flag

Spend your practice time on Inferno

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

47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	0.09	23%	12 Sept →
dust2	13–3	0.05	21%	12 Sept →
dust2	13–4	0.09	25%	11 Sept →
dust2	6–13	-0.02	21%	11 Sept →
ancient	13–3	0.00	36%	10 Sept →
anubis	13–9	-0.00	18%	10 Sept →
mirage	13–10	0.11	32%	10 Sept →
mirage	11–13	0.00	15%	9 Sept →
mirage	11–13	0.15	19%	9 Sept →
inferno	1–13	-0.09	13%	6 Sept →
ancient	13–1	0.18	23%	6 Sept →
dust2	13–11	-0.03	14%	6 Sept →
mirage	7–13	-0.06	8%	5 Sept →
dust2	13–9	0.05	23%	5 Sept →
inferno	1–9	-0.26	50%	5 Sept →
anubis	13–6	0.08	24%	5 Sept →
ancient	3–13	0.07	29%	5 Sept →
dust2	13–3	0.08	21%	23 Aug →
dust2	12–12	-0.01	13%	23 Aug →
inferno	7–13	-0.02	7%	23 Aug →
mirage	13–5	0.15	22%	16 Aug →
dust2	13–2	0.08	31%	16 Aug →
inferno	12–12	0.01	26%	15 Aug →
cache	13–9	0.01	42%	1 Aug →
train	6–7	-0.06	13%	1 Aug →
inferno	13–6	0.04	26%	1 Aug →
dust2	13–11	0.03	14%	1 Aug →
mirage	13–4	0.05	35%	18 Jul →
inferno	13–10	0.04	24%	12 Jul →
dust2	13–3	0.05	24%	11 Jul →
ancient	13–11	-0.01	35%	11 Jul →
ancient	8–13	-0.01	12%	11 Jul →
mirage	13–2	0.01	16%	11 Jul →
train	13–10	-0.01	12%	11 Jul →
inferno	8–4	0.08	29%	11 Jul →
inferno	13–6	0.00	18%	11 Jul →
mirage	4–13	-0.08	17%	11 Jul →
cache	7–13	-0.05	25%	11 Jul →
mirage	11–13	-0.04	14%	11 Jul →
cache	13–7	0.05	19%	11 Jul →
mirage	10–13	-0.01	14%	11 Jul →
dust2	13–8	0.05	22%	11 Jul →
dust2	13–3	0.11	26%	7 Jul →
dust2	7–1	0.02	0%	7 Jul →
inferno	13–1	0.03	15%	7 Jul →
nuke	6–13	0.04	16%	7 Jul →
dust2	13–8	0.06	22%	7 Jul →
mirage	11–13	-0.04	26%	7 Jul →
overpass	5–13	-0.05	16%	7 Jul →
dust2	13–1	0.03	16%	7 Jul →
mirage	13–1	0.01	36%	7 Jul →
mirage	13–9	-0.03	14%	5 Jul →
dust2	12–12	-0.07	26%	5 Jul →
nuke	13–6	-0.02	16%	5 Jul →
inferno	10–13	-0.06	16%	5 Jul →
dust2	13–10	0.05	17%	5 Jul →
mirage	13–3	0.07	21%	3 Jul →
cache	11–13	0.02	33%	3 Jul →
dust2	13–4	0.04	21%	30 Jun →
mirage	5–13	-0.09	12%	30 Jun →
ancient	13–8	0.04	30%	30 Jun →
nuke	13–3	0.08	27%	28 Jun →
mirage	7–13	-0.04	22%	28 Jun →
inferno	9–1	0.07	38%	28 Jun →
dust2	13–1	0.08	18%	28 Jun →
inferno	13–1	0.01	9%	25 Jun →
anubis	13–3	0.04	14%	25 Jun →
mirage	13–3	0.02	15%	25 Jun →
inferno	13–3	0.01	20%	25 Jun →
vertigo	13–4	0.02	13%	25 Jun →
mirage	13–9	0.00	14%	25 Jun →
overpass	12–12	0.10	19%	23 Jun →
dust2	13–10	0.09	22%	23 Jun →
dust2	12–12	0.01	14%	23 Jun →
mirage	9–13	0.06	16%	23 Jun →
dust2	7–13	0.01	24%	23 Jun →
dust2	13–8	-0.00	18%	22 Jun →
inferno	3–9	-0.05	38%	22 Jun →
dust2	4–13	-0.04	20%	20 Jun →
inferno	7–13	-0.04	20%	20 Jun →
inferno	7–13	-0.02	21%	20 Jun →
dust2	1–13	-0.01	17%	20 Jun →
mirage	13–1	0.12	24%	19 Jun →
mirage	11–13	-0.03	25%	19 Jun →
train	10–13	0.11	15%	19 Jun →
inferno	9–13	0.05	11%	19 Jun →
dust2	6–13	-0.05	21%	19 Jun →
dust2	13–7	0.03	15%	19 Jun →
overpass	13–10	0.09	21%	18 Jun →
inferno	7–13	-0.07	21%	18 Jun →
mirage	13–6	0.04	9%	18 Jun →
nuke	13–4	0.11	32%	18 Jun →
mirage	8–13	-0.05	11%	18 Jun →
vertigo	10–13	-0.05	25%	18 Jun →
train	13–9	0.02	24%	18 Jun →
dust2	11–13	0.01	27%	17 Jun →
inferno	13–3	0.05	24%	17 Jun →
dust2	13–11	0.01	17%	17 Jun →
dust2	13–6	0.02	19%	14 Jun →
nuke	13–7	0.01	33%	14 Jun →