Fynises — CS2 Stats

GB76561198048537686[U:1:88271958]Steam profile ↗✓ No bans

1,128Tracked matches23%Win rate2020Tracked since

3,271Hours in CS4Hrs last 2 wks

CSDB Rating5.4 DevelopingPositional Player

CSDB Leaderboard#255671 of 259969 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

+29Tracked matches · now 1,128

−41.3ppWin rate · 64.0% → 22.7%

Rating over time

1,050Highest Faceit ELO seen on CSDB

53Days played since 2025-09-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	29	20	+9
Win rate	17%	60%	−43pp
K/D	0.94	1.22	−0.29
Headshot %	39%	43%	−4pp

Measured 4 Oct 2026 → 5 Nov 2026; previous 4 Sep 2026 → 4 Oct 2026.

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 4 among CSDB-tracked players (n=14,630), 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 4 median	Level 5 median	vs Level 5
Headshot rate	35.4%	42.7%	43.8%	8.3% short
Shot accuracy	20.2%	11.2%	12.0%	above
Kill/death ratio	0.81	0.99	1.02	0.21 short
Match win rate	45.5%	43.9%	44.7%	meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim60

Positioning73

Utility32

0–100 skill scores via Leetify.

Recent form

COLD47–39–14Last 10047%Win rateWLTLTLTLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.3pp headshot accuracy · −73ms 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

1–2–2 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 9%
Avg reaction 542ms

Last 10

2–5–3 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 13%
Avg reaction 527ms

Last 20

3–12–5 · 15% win rate
Avg rating -0.02
Avg headshot accuracy 13%
Avg reaction 563ms

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 (+2.4 against its own average).

Aim6.0

Utility3.2

Positioning7.3

Opening Duels5.0

Clutch4.0

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 s1mple 75% 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 568ms 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

Aim6.0

Positioning7.3

Utility3.2

Mechanics6.4

Opening Duels7.4

Win Impact0.0

Composite 5.4/10 (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 0.00 → last ⅓ avg -0.01

Reaction time560ms−47ms

first ⅓ avg 607ms → last ⅓ avg 560ms

Headshot accuracy13.8%−1.0%

first ⅓ avg 14.8% → last ⅓ avg 13.8%

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

0.17Best match rating · 9–0 · vertigo, 16 Aug →

28%Best headshot accuracy · 13–9 · vertigo, 12 Jul →

391msFastest reaction time · 10–13 · vertigo, 3 Oct →

13–2Biggest win · vertigo, 26 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak

6–11In matches decided by ≤2 rounds

1Overtime games

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 4 maps qualify so far.

Map	Grade	Played	Record	Win rate	Avg rating
vertigo	B	94	45–49	48%	0.00
cache	—	3	1–2	33%	-0.01
mirage	—	2	1–1	50%	-0.02
nuke	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Lifetime stats

100,638Lifetime kills

0.81K/D

3,685Matches

45.5%Match win rate · Top 50% of Level 4 players

35.4%Headshot %

20.2%Shot accuracy · Top 5% of Level 4 players

8,051MVPs

3,120Hours (in match)

5,159Bombs planted

794Bombs defused

Most-used weapons

AK-4746,000

M4A4 / M4A1-S30,185

P2000 / USP-S5,137

Glock-182,759

Desert Eagle2,299

AWP1,798

Knife1,167

MAC-101,163

FAMAS1,020

MP91,011

Lifetime map wins

10,693vertigo

3,960inferno

2,437train

2,279dust2

2,095cbble

1,094nuke

147office

47italy

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

Faceit stats

Combat

604Matches

51%Win rate

0.96Avg K/D

74.5ADR

34%Headshot %

Clutches & streaks

40%1v1 clutch win

100%1v2 clutch win

14Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	4	75%	1.04	12.0
Ancient	4	25%	0.73	9.3
Nuke	2	50%	0.83	15.5
Mirage	2	0%	0.98	18.0
Train	1	100%	1.64	23.0
Overpass	1	100%	0.89	17.0

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.

13.2%Headshot accuracy

34.5%Accuracy (enemy spotted)

37.6%Spray accuracy

78.7%Counter-strafing

11.3°Preaim

568msReaction time

65.6%T opening success

53.6%CT opening success

0.37Enemies flashed / flash

12.3%Flash assists

11.47HE damage / grenade

2.08Flashes / 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 13.2427% — 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 0.3681 — below the 0.5 mark we flag
Grenade Lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–10	-0.04	6%	31 Oct →
vertigo	11–13	0.02	15%	28 Oct →
vertigo	12–12	-0.05	10%	26 Oct →
vertigo	9–13	-0.04	3%	24 Oct →
vertigo	12–12	0.00	9%	22 Oct →
vertigo	6–13	0.02	10%	21 Oct →
vertigo	12–12	-0.03	15%	21 Oct →
vertigo	10–13	-0.01	14%	19 Oct →
vertigo	13–10	-0.01	17%	19 Oct →
vertigo	9–13	-0.06	25%	18 Oct →
vertigo	11–13	0.02	13%	18 Oct →
vertigo	3–13	-0.06	10%	18 Oct →
vertigo	3–13	0.01	17%	18 Oct →
vertigo	11–13	-0.03	10%	17 Oct →
vertigo	13–11	0.01	13%	17 Oct →
vertigo	12–12	-0.00	10%	14 Oct →
vertigo	11–13	-0.04	14%	14 Oct →
vertigo	11–13	0.04	15%	12 Oct →
vertigo	12–12	0.03	22%	12 Oct →
vertigo	9–13	-0.09	13%	10 Oct →
vertigo	11–13	0.01	23%	7 Oct →
vertigo	8–13	0.02	21%	7 Oct →
vertigo	13–6	0.05	17%	7 Oct →
vertigo	7–13	-0.09	8%	5 Oct →
vertigo	13–8	0.05	14%	5 Oct →
vertigo	12–12	0.00	6%	5 Oct →
vertigo	10–13	-0.08	7%	4 Oct →
vertigo	12–12	-0.01	10%	4 Oct →
vertigo	3–13	0.00	13%	4 Oct →
vertigo	12–12	0.03	13%	3 Oct →
vertigo	10–13	0.01	19%	3 Oct →
vertigo	13–8	0.03	25%	29 Sept →
vertigo	13–3	0.08	12%	29 Sept →
vertigo	13–4	0.03	10%	28 Sept →
vertigo	13–11	0.09	14%	28 Sept →
vertigo	13–6	0.07	7%	24 Sept →
vertigo	8–13	0.03	15%	24 Sept →
vertigo	12–12	0.02	9%	23 Sept →
vertigo	13–3	0.04	13%	23 Sept →
vertigo	9–13	0.02	15%	21 Sept →
vertigo	13–8	-0.03	12%	21 Sept →
vertigo	13–7	-0.04	14%	20 Sept →
vertigo	13–9	0.04	17%	16 Sept →
vertigo	13–4	-0.01	26%	16 Sept →
vertigo	13–6	0.04	18%	14 Sept →
vertigo	11–13	-0.04	6%	14 Sept →
vertigo	12–12	0.01	9%	9 Sept →
vertigo	13–10	-0.05	16%	9 Sept →
vertigo	10–13	0.02	18%	6 Sept →
vertigo	12–12	0.02	16%	2 Sept →
vertigo	11–13	-0.02	12%	2 Sept →
vertigo	13–7	-0.01	4%	30 Aug →
vertigo	7–2	0.01	0%	30 Aug →
vertigo	3–13	-0.07	14%	27 Aug →
vertigo	4–13	-0.00	9%	26 Aug →
vertigo	13–2	0.08	16%	26 Aug →
vertigo	8–13	-0.03	4%	17 Aug →
vertigo	12–12	-0.03	7%	17 Aug →
vertigo	13–10	-0.03	13%	16 Aug →
vertigo	9–0	0.17	14%	16 Aug →
vertigo	10–13	-0.06	13%	10 Aug →
vertigo	13–11	-0.05	9%	9 Aug →
vertigo	13–6	0.06	15%	9 Aug →
vertigo	10–13	-0.01	22%	9 Aug →
vertigo	13–10	0.03	14%	9 Aug →
vertigo	13–7	-0.05	19%	5 Aug →
vertigo	13–11	-0.02	22%	4 Aug →
vertigo	13–9	-0.01	20%	4 Aug →
vertigo	1–13	0.00	23%	3 Aug →
vertigo	11–13	-0.03	13%	3 Aug →
vertigo	11–13	0.00	14%	3 Aug →
vertigo	12–12	0.04	13%	31 Jul →
vertigo	6–2	-0.02	12%	31 Jul →
vertigo	13–4	0.10	10%	31 Jul →
vertigo	13–4	0.12	21%	29 Jul →
vertigo	13–3	0.11	17%	28 Jul →
vertigo	8–13	-0.06	18%	22 Jul →
vertigo	13–11	-0.01	17%	22 Jul →
vertigo	12–12	0.03	10%	21 Jul →
vertigo	13–11	-0.00	14%	20 Jul →
vertigo	13–4	0.09	14%	20 Jul →
vertigo	13–9	-0.00	28%	12 Jul →
vertigo	13–10	-0.03	10%	3 Jul →
mirage	13–16	-0.04	18%	3 Jul →
mirage	13–9	0.00	19%	3 Jul →
nuke	8–13	-0.06	17%	3 Jul →
vertigo	13–10	0.07	10%	1 Jul →
vertigo	13–9	0.07	17%	1 Jul →
vertigo	13–6	-0.05	12%	24 Jun →
cache	4–13	-0.01	10%	6 Jun →
vertigo	13–7	0.06	8%	25 May →
vertigo	5–13	-0.06	6%	23 May →
vertigo	13–8	-0.04	8%	23 May →
vertigo	11–13	-0.04	8%	11 May →
vertigo	13–2	-0.02	23%	11 May →
cache	13–7	-0.00	23%	10 May →
cache	2–13	-0.01	18%	10 May →
vertigo	13–9	-0.06	19%	10 May →
vertigo	7–13	-0.06	8%	6 May →
vertigo	11–0	0.09	10%	6 May →