Pathos — CS2 Stats

KR76561198329715772[U:1:369450044]Steam profile ↗✓ No bans

1,303Tracked matches62%Win rate2020Tracked since

1,841Hours in CS34Hrs last 2 wks

CSDB Rating6.0 SolidPositional Player

Premier CS Rating21,074Top 50% of 204,097 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)

CSDB Leaderboard#66206 of 251195 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 21,074 → 21,074

+67Tracked matches · now 1,303

+17.2ppWin rate · 44.8% → 62.1%

Rating over time

Premier CS Rating: 21,074 +0 19 Jul – 1 Sept · 4 days played

21,074Peak Premier in tracked matches

35Days played since 2026-07-15

Premier CS Rating

At peak — 21,074
Next: Red band at 25,000 — 3,926 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-30
Purple 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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=12,879), 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 6 median	Level 7 median	vs Level 7
Headshot rate	43.0%	44.8%	45.7%	2.7% short
Shot accuracy	12.9%	12.4%	12.7%	meets
Kill/death ratio	1.27	1.03	1.05	above
Match win rate	51.6%	45.2%	45.7%	above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim79

Positioning50

Utility29

0–100 skill scores via Leetify.

Recent form

HOT51–45–4Last 10051%Win rateWWWWWLWLWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −2.8pp headshot accuracy · +50ms reaction

Win rate up 30pp 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

5–0 · 100% win rate
Avg rating 0.01
Avg headshot accuracy 10%
Avg reaction 566ms

Last 10

8–2 · 80% win rate
Avg rating 0.01
Avg headshot accuracy 10%
Avg reaction 560ms

Last 20

13–7 · 65% win rate
Avg rating 0.00
Avg headshot accuracy 12%
Avg reaction 535ms

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 (+1.8 against its own average).

Aim7.9

Utility2.9

Positioning5.0

Opening Duels1.6

Clutch3.4

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 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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.

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

Positioning5.0

Utility2.9

Mechanics5.3

Opening Duels3.6

Win Impact9.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time520ms−25ms

first ⅓ avg 545ms → last ⅓ avg 520ms

Headshot accuracy13.2%−2.6%

first ⅓ avg 15.8% → last ⅓ avg 13.2%

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

0.11Best match rating · 1–6 · boulder, 5 Oct →

31%Best headshot accuracy · 13–9 · office, 26 Sept →

328msFastest reaction time · 8–13 · inferno, 19 Jul →

13–1Biggest win · anubis, 10 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W5Current streak

10–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 67% over 12cacheWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	19	9–10	47%	-0.00
ancient	B	15	8–7	53%	-0.01
nuke	B	13	6–7	46%	-0.00
anubis	S	12	8–4	67%	-0.01
office	C	11	4–7	36%	-0.00
cache	D	9	3–6	33%	-0.02
mirage	S	9	6–3	67%	-0.01
vertigo	S	6	4–2	67%	-0.01
train	—	2	1–1	50%	-0.01
dust2	—	1	1–0	100%	0.02
boulder	—	1	0–1	0%	0.11
rush_001	—	1	1–0	100%	-0.02
overpass	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Lifetime stats

54,234Lifetime kills

1.27K/D · Top 25% of Level 6 players

3,261Matches

51.6%Match win rate · Top 10% of Level 6 players

43.0%Headshot %

12.9%Shot accuracy · Top 50% of Level 6 players

10,759MVPs

913Hours (in match)

3,060Bombs planted

764Bombs defused

Most-used weapons

AK-4714,960

M4A4 / M4A1-S7,778

AWP6,585

P2000 / USP-S3,907

Glock-182,991

Desert Eagle2,684

MP71,789

MAC-101,463

FAMAS1,451

MP91,402

Lifetime map wins

4,303inferno

2,475dust2

2,387nuke

2,367vertigo

2,113lake

1,161office

574train

249cbble

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

Faceit stats

Combat

98Matches

50%Win rate

0.87Avg K/D

69.7ADR

38%Headshot %

Clutches & streaks

37%1v1 clutch win

20%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	21	48%	0.89	14.1
Nuke	19	47%	0.86	14.2
Ancient	19	47%	0.87	13.1
Anubis	14	64%	0.74	12.6
Mirage	10	60%	1.08	16.6
Cache	8	38%	0.83	13.0
Overpass	3	33%	1.00	18.0
Dust2	2	50%	0.70	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.

13.3%Headshot accuracy

40.0%Accuracy (enemy spotted)

46.7%Spray accuracy

73.8%Counter-strafing

10.1°Preaim

516msReaction time

49.9%T opening success

38.8%CT opening success

0.37Enemies flashed / flash

0.7%Flash assists

7.51HE damage / grenade

1.50Flashes / 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 13.3488% — 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 0.373 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.7769% — below the 40% mark we flag

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
office	13–2	0.01	8%	10 Oct →
ancient	13–3	-0.03	5%	10 Oct →
anubis	13–1	-0.01	7%	10 Oct →
dust2	13–11	0.02	16%	10 Oct →
anubis	13–6	0.05	17%	9 Oct →
cache	11–13	-0.06	3%	9 Oct →
ancient	13–10	0.03	10%	8 Oct →
mirage	2–13	0.00	20%	7 Oct →
ancient	13–9	-0.02	6%	7 Oct →
inferno	13–7	0.06	10%	7 Oct →
vertigo	13–3	-0.03	17%	7 Oct →
mirage	7–13	-0.07	9%	6 Oct →
inferno	13–3	0.01	12%	6 Oct →
ancient	10–13	0.01	4%	6 Oct →
nuke	13–6	0.03	16%	5 Oct →
anubis	13–8	-0.03	5%	5 Oct →
inferno	8–13	0.00	25%	5 Oct →
boulder	1–6	0.11	19%	5 Oct →
mirage	22–20	-0.06	7%	4 Oct →
anubis	6–13	0.02	15%	4 Oct →
cache	13–6	0.00	19%	3 Oct →
office	6–13	0.02	14%	1 Oct →
mirage	13–5	0.01	21%	30 Sept →
rush_001	8–6	-0.02	0%	30 Sept →
nuke	7–13	-0.12	25%	30 Sept →
vertigo	13–4	0.03	21%	30 Sept →
office	13–9	0.05	12%	30 Sept →
cache	2–13	-0.04	6%	30 Sept →
office	13–9	0.03	31%	26 Sept →
office	12–12	0.01	25%	26 Sept →
inferno	9–13	-0.05	5%	25 Sept →
vertigo	12–4	-0.01	10%	25 Sept →
inferno	10–13	0.01	14%	24 Sept →
mirage	13–11	0.01	17%	22 Sept →
ancient	9–13	0.02	10%	22 Sept →
anubis	10–13	-0.03	8%	22 Sept →
cache	7–13	-0.04	19%	21 Sept →
inferno	13–7	0.01	30%	21 Sept →
anubis	13–11	-0.03	11%	21 Sept →
inferno	6–13	-0.02	22%	15 Sept →
train	5–13	-0.04	15%	15 Sept →
office	12–12	-0.08	11%	15 Sept →
office	5–13	-0.07	21%	13 Sept →
ancient	13–9	-0.04	13%	13 Sept →
nuke	11–13	-0.01	21%	13 Sept →
anubis	25–22	-0.05	13%	12 Sept →
anubis	12–16	-0.05	15%	10 Sept →
nuke	13–10	-0.01	16%	10 Sept →
inferno	14–16	0.02	16%	9 Sept →
anubis	13–8	-0.05	6%	9 Sept →
nuke	4–13	-0.04	2%	30 Aug →
nuke	5–13	-0.04	14%	29 Aug →
ancient	6–13	0.04	10%	29 Aug →
cache	13–11	-0.02	11%	23 Aug →
inferno	9–13	-0.06	14%	23 Aug →
nuke	13–7	0.02	28%	23 Aug →
ancient	13–7	-0.07	4%	23 Aug →
office	0–13	-0.06	0%	23 Aug →
inferno	22–20	-0.02	7%	16 Aug →
nuke	13–9	-0.04	14%	15 Aug →
inferno	8–13	-0.09	13%	9 Aug →
cache	4–13	-0.06	27%	9 Aug →
vertigo	11–13	-0.05	7%	9 Aug →
ancient	3–13	-0.01	12%	9 Aug →
inferno	13–11	0.01	13%	9 Aug →
office	13–7	0.03	8%	8 Aug →
overpass	7–13	0.05	10%	5 Aug →
mirage	13–7	0.08	8%	27 Jul →
vertigo	9–5	0.00	14%	27 Jul →
inferno	4–9	-0.09	16%	27 Jul →
inferno	4–9	-0.03	23%	27 Jul →
cache	11–13	0.00	17%	27 Jul →
inferno	13–6	0.09	15%	27 Jul →
office	12–12	0.03	18%	20 Jul →
ancient	13–11	-0.04	7%	20 Jul →
nuke	13–8	0.07	16%	19 Jul →
office	9–13	0.01	23%	19 Jul →
cache	13–5	0.06	24%	19 Jul →
inferno	8–13	-0.01	29%	19 Jul →
ancient	1–13	-0.03	14%	18 Jul →
mirage	2–13	-0.06	21%	18 Jul →
inferno	13–11	0.00	12%	18 Jul →
nuke	10–13	0.02	18%	18 Jul →
ancient	13–5	0.00	12%	18 Jul →
anubis	13–4	0.04	10%	18 Jul →
nuke	6–13	0.00	22%	18 Jul →
mirage	13–8	0.03	18%	17 Jul →
ancient	7–13	-0.07	9%	17 Jul →
ancient	11–13	-0.01	14%	17 Jul →
cache	5–13	-0.02	16%	17 Jul →
inferno	13–2	0.08	17%	17 Jul →
mirage	13–4	-0.01	10%	16 Jul →
vertigo	7–9	-0.01	14%	16 Jul →
anubis	11–13	-0.03	13%	16 Jul →
anubis	13–9	-0.00	21%	15 Jul →
nuke	13–8	0.07	15%	15 Jul →
train	13–6	0.02	13%	15 Jul →
inferno	16–13	0.04	13%	15 Jul →
ancient	13–7	0.10	20%	15 Jul →
nuke	15–15	-0.00	11%	15 Jul →