💕F2 — CS2 Stats

76561198307193565[U:1:346927837]Steam profile ↗✓ No bans

889Tracked matches48%Win rate2020Tracked since

CSDB Rating6.3 SolidPositional Player

Premier CS Rating18,380Purple band · top ~14.9% of ranked players (population est.)

CSDB Leaderboard#107418 of 259059 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,380 -205 13 Oct – 20 Oct · 2 days played

18,585Peak Premier in tracked matches

28Days played since 2026-08-21

Premier CS Rating

205 below peak (18,585)
Next: Pink band at 20,000 — 1,620 to go
Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim89

Positioning57

Utility27

0–100 skill scores via Leetify.

Recent form

COLD47–41–12Last 10047%Win rateLLTLWWLLLT

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · −4.7pp headshot accuracy · −100ms reaction

Win rate down 50pp 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

1–3–1 · 20% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 577ms

Last 10

2–6–2 · 20% win rate
Avg rating 0.00
Avg headshot accuracy 18%
Avg reaction 580ms

Last 20

9–9–2 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 21%
Avg reaction 630ms

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).

Aim8.9

Utility2.7

Positioning5.7

Opening Duels2.8

Clutch4.4

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 84% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 56% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 614ms 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

Aim8.9

Positioning5.7

Utility2.7

Mechanics7.9

Opening Duels4.6

Win Impact4.4

Composite 6.3/10 (Solid), 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 rating0.02+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time618ms−16ms

first ⅓ avg 634ms → last ⅓ avg 618ms

Headshot accuracy20.2%−0.7%

first ⅓ avg 20.9% → last ⅓ avg 20.2%

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

0.28Best match rating · 2–0 · anubis, 6 Oct →

100%Best headshot accuracy · 2–0 · anubis, 6 Oct →

469msFastest reaction time · 13–9 · dust2, 26 Oct →

13–0Biggest win · mirage, 24 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak

L2Current streak

3–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 60% over 5dust2Weakest map · 41% over 41

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	41	17–24	41%	0.03
cache	B	13	6–7	46%	0.00
mirage	A	12	7–5	58%	0.01
nuke	A	9	5–4	56%	0.03
ancient	A	7	4–3	57%	0.04
inferno	B	6	3–3	50%	0.01
anubis	A	5	3–2	60%	0.06
overpass	—	3	1–2	33%	0.09
vertigo	—	2	0–2	0%	-0.05
office	—	1	1–0	100%	0.05
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 41). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

172Matches

53%Win rate

1.12Avg K/D

79.9ADR

47%Headshot %

Clutches & streaks

42%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	47	57%	1.20	17.7
Dust2	33	58%	1.09	17.3
Ancient	20	60%	1.01	15.5
Anubis	11	45%	1.05	14.4
Inferno	11	36%	1.11	18.3
Nuke	8	62%	1.37	19.9
Vertigo	6	67%	1.14	18.5
Cache	4	50%	0.78	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.

18.4%Headshot accuracy

42.6%Accuracy (enemy spotted)

47.8%Spray accuracy

85.6%Counter-strafing

8.4°Preaim

614msReaction time

56.1%T opening success

41.1%CT opening success

0.48Enemies flashed / flash

4.0%Flash assists

4.97HE damage / grenade

4.32Flashes / 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 0.4817 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

41% win rate across 41 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	9–13	-0.04	17%	27 Oct →
dust2	11–13	0.06	21%	27 Oct →
mirage	12–12	-0.05	11%	27 Oct →
dust2	11–13	0.02	16%	26 Oct →
mirage	13–5	-0.06	14%	26 Oct →
dust2	13–9	-0.02	17%	26 Oct →
inferno	8–13	0.01	15%	25 Oct →
dust2	9–13	-0.02	28%	25 Oct →
dust2	11–13	0.08	22%	25 Oct →
dust2	12–12	0.03	22%	25 Oct →
nuke	13–1	0.11	26%	24 Oct →
mirage	11–13	0.01	14%	24 Oct →
cache	13–5	0.06	20%	24 Oct →
overpass	13–5	0.07	7%	24 Oct →
dust2	1–3	0.14	75%	24 Oct →
mirage	13–0	0.04	25%	24 Oct →
dust2	13–5	0.09	20%	24 Oct →
dust2	8–13	-0.02	7%	24 Oct →
cache	13–10	-0.06	9%	23 Oct →
anubis	13–9	-0.07	26%	23 Oct →
nuke	10–13	0.01	27%	23 Oct →
dust2	13–2	0.06	13%	23 Oct →
mirage	13–10	0.03	15%	23 Oct →
cache	4–13	-0.03	27%	23 Oct →
mirage	13–6	0.04	29%	23 Oct →
ancient	6–13	-0.03	16%	23 Oct →
cache	3–13	-0.02	9%	20 Oct →
dust2	12–12	0.07	10%	20 Oct →
dust2	6–13	-0.01	19%	20 Oct →
dust2	9–0	0.06	31%	20 Oct →
anubis	10–13	0.02	14%	20 Oct →
inferno	13–3	0.09	19%	15 Oct →
nuke	13–4	0.13	24%	15 Oct →
anubis	13–10	0.05	20%	13 Oct →
dust2	13–8	-0.02	24%	11 Oct →
dust2	13–10	0.17	20%	10 Oct →
dust2	13–5	0.07	18%	10 Oct →
inferno	13–4	0.02	24%	10 Oct →
ancient	13–10	0.03	26%	10 Oct →
cache	5–2	0.12	19%	10 Oct →
mirage	13–10	0.05	17%	9 Oct →
inferno	13–9	0.00	11%	9 Oct →
nuke	4–13	-0.07	23%	8 Oct →
dust2	12–16	0.03	12%	8 Oct →
cache	9–13	0.00	15%	8 Oct →
ancient	13–0	0.09	32%	8 Oct →
dust2	13–11	-0.03	8%	6 Oct →
anubis	2–0	0.28	100%	6 Oct →
inferno	7–13	-0.03	44%	29 Sept →
dust2	11–10	0.07	22%	29 Sept →
dust2	16–13	0.01	7%	28 Sept →
cache	3–13	-0.05	15%	28 Sept →
nuke	13–2	0.01	17%	27 Sept →
dust2	13–6	0.01	16%	27 Sept →
dust2	10–13	-0.00	13%	27 Sept →
office	13–1	0.05	25%	27 Sept →
ancient	13–9	0.04	13%	27 Sept →
mirage	10–13	-0.00	23%	27 Sept →
train	11–13	-0.03	28%	27 Sept →
nuke	9–13	0.05	10%	27 Sept →
ancient	13–9	0.03	33%	17 Sept →
dust2	7–13	-0.01	63%	17 Sept →
mirage	15–15	0.06	8%	17 Sept →
cache	5–13	-0.05	25%	17 Sept →
dust2	13–4	0.08	21%	16 Sept →
dust2	13–5	0.04	10%	16 Sept →
dust2	5–13	0.04	38%	16 Sept →
nuke	9–13	0.01	24%	16 Sept →
nuke	13–10	-0.03	41%	16 Sept →
dust2	7–13	-0.03	19%	16 Sept →
dust2	13–10	-0.01	15%	15 Sept →
ancient	15–15	0.10	19%	15 Sept →
cache	13–6	0.08	23%	14 Sept →
vertigo	12–12	-0.06	25%	10 Sept →
dust2	13–8	0.04	20%	10 Sept →
cache	13–3	0.06	21%	9 Sept →
dust2	6–13	-0.08	9%	9 Sept →
mirage	13–4	-0.02	21%	9 Sept →
dust2	15–15	0.11	23%	8 Sept →
dust2	13–7	0.11	16%	8 Sept →
dust2	4–13	-0.01	25%	8 Sept →
dust2	13–7	0.10	28%	8 Sept →
cache	2–13	0.03	23%	8 Sept →
ancient	9–13	0.05	21%	7 Sept →
dust2	4–13	0.03	14%	7 Sept →
dust2	12–12	0.10	23%	7 Sept →
dust2	10–13	0.03	26%	7 Sept →
mirage	13–2	0.02	12%	6 Sept →
overpass	12–12	0.13	23%	6 Sept →
inferno	12–12	-0.02	18%	6 Sept →
overpass	12–12	0.08	13%	6 Sept →
anubis	12–12	0.00	11%	6 Sept →
dust2	4–13	-0.02	23%	27 Aug →
nuke	13–7	0.07	29%	27 Aug →
dust2	7–13	-0.02	35%	27 Aug →
dust2	10–13	-0.05	21%	26 Aug →
mirage	16–19	-0.02	26%	26 Aug →
dust2	10–13	-0.05	12%	26 Aug →
cache	13–8	-0.04	13%	26 Aug →
cache	6–13	-0.05	13%	21 Aug →