xofortuna — CS2 Stats

AT76561197975514767[U:1:15249039]Steam profile ↗✓ No bans

1,132Tracked matches39%Win rate2020Tracked since

CSDB Rating3.8 LearningPositional Player

Premier CS Rating11,804Blue band · top ~45.3% of ranked players (population est.)

CSDB Leaderboard#174880 of 258884 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (yesterday). 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: 11,804 -3,088 21 Sept – 29 Oct · 22 days played

14,999Peak Premier in tracked matches

27Days played since 2026-09-21

Premier CS Rating

3,195 below peak (14,999)
-1,887 over 30 days · declining
Next: Purple band at 15,000 — 3,196 to go
Reached: 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

Aim42

Positioning53

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY38–58–4Last 10038%Win rateLWWLLLWWWW

Last 10 vs previous 10: +50pp win rate · −0.01 avg rating · +2.9pp headshot accuracy · +45ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 17%
Avg reaction 652ms

Last 10

6–4 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 17%
Avg reaction 644ms

Last 20

7–12–1 · 35% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 621ms

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 (+1.6 against its own average).

Aim4.2

Utility3.9

Positioning5.3

Opening Duels2.0

Strong T-side opener

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 Twistzz 74% 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

Areas to improve

CT openings. Opening success drops from 55% on T to 28% on CT — first contacts on the defending side are being lost.

Reaction time. 630ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2

Positioning5.3

Utility3.9

Mechanics4.0

Opening Duels3.1

Win Impact1.4

Composite 3.8/10 (Learning), 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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time625ms−1ms

first ⅓ avg 626ms → last ⅓ avg 625ms

Headshot accuracy15.5%+2.1%

first ⅓ avg 13.4% → last ⅓ avg 15.5%

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

0.09Best match rating · 13–5 · ancient, 19 Oct →

29%Best headshot accuracy · 4–13 · mirage, 22 Oct →

375msFastest reaction time · 10–1 · inferno, 15 Oct →

13–2Biggest win · nuke, 27 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

4–3In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 53% over 17nukeWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	17	8–9	47%	-0.00
cache	B	17	9–8	53%	-0.03
inferno	D	15	5–10	33%	-0.01
nuke	D	13	2–11	15%	-0.01
mirage	D	11	3–8	27%	-0.01
ancient	D	10	3–7	30%	-0.01
anubis	C	10	4–6	40%	-0.01
vertigo	—	3	1–2	33%	-0.03
overpass	—	2	1–1	50%	-0.01
office	—	1	1–0	100%	0.01
train	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

19Matches

63%Win rate

1.62Avg K/D

—ADR

40%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	2	50%	1.73	10.5
Vertigo	1	100%	0.76	13.0
Mirage	1	0%	0.76	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.

15.6%Headshot accuracy

30.6%Accuracy (enemy spotted)

31.6%Spray accuracy

68.0%Counter-strafing

9.8°Preaim

630msReaction time

54.9%T opening success

28.4%CT opening success

0.40Enemies flashed / flash

1.1%Flash assists

10.05HE damage / grenade

6.11Flashes / 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 0.4035 — 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 28.4061% — below the 40% mark we flag

Spend your practice time on Nuke

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	-0.12	13%	29 Oct →
vertigo	13–10	-0.05	21%	29 Oct →
overpass	13–11	0.03	13%	29 Oct →
mirage	7–13	0.00	26%	29 Oct →
inferno	3–13	-0.04	13%	29 Oct →
cache	7–13	-0.05	17%	27 Oct →
dust2	16–12	-0.02	22%	27 Oct →
nuke	13–2	0.08	17%	27 Oct →
ancient	13–5	0.03	17%	26 Oct →
mirage	13–5	0.01	11%	26 Oct →
inferno	13–6	0.05	17%	26 Oct →
dust2	15–15	-0.06	19%	26 Oct →
inferno	7–13	0.07	23%	26 Oct →
nuke	10–13	0.05	18%	25 Oct →
inferno	10–13	0.08	16%	25 Oct →
ancient	2–13	-0.09	11%	25 Oct →
dust2	10–13	-0.03	13%	25 Oct →
nuke	8–13	-0.10	6%	25 Oct →
dust2	8–13	-0.00	11%	25 Oct →
anubis	10–13	-0.04	7%	25 Oct →
anubis	10–13	0.01	22%	24 Oct →
dust2	13–9	0.01	19%	24 Oct →
dust2	2–13	-0.02	16%	24 Oct →
cache	13–3	-0.01	8%	24 Oct →
cache	13–7	-0.02	9%	24 Oct →
cache	5–13	-0.02	21%	24 Oct →
nuke	7–13	-0.01	17%	23 Oct →
dust2	15–15	0.04	18%	22 Oct →
cache	0–13	-0.08	6%	22 Oct →
dust2	13–10	0.01	10%	22 Oct →
mirage	4–13	0.01	29%	22 Oct →
cache	8–13	0.01	10%	22 Oct →
ancient	11–13	-0.09	16%	21 Oct →
mirage	15–15	-0.01	23%	19 Oct →
ancient	13–5	0.09	15%	19 Oct →
nuke	9–13	-0.03	15%	17 Oct →
inferno	12–12	0.01	19%	17 Oct →
cache	5–13	-0.13	7%	17 Oct →
mirage	11–13	-0.06	19%	17 Oct →
nuke	7–13	0.03	18%	16 Oct →
inferno	7–13	0.04	19%	16 Oct →
anubis	13–11	0.02	19%	15 Oct →
dust2	10–13	0.04	17%	15 Oct →
inferno	7–13	-0.03	11%	15 Oct →
inferno	10–1	-0.03	7%	15 Oct →
nuke	13–7	0.04	16%	15 Oct →
vertigo	7–13	0.00	24%	13 Oct →
dust2	13–16	-0.01	11%	13 Oct →
nuke	9–13	-0.04	28%	12 Oct →
cache	6–1	-0.06	14%	12 Oct →
ancient	7–13	-0.03	14%	12 Oct →
nuke	8–13	-0.02	21%	12 Oct →
inferno	13–8	-0.05	19%	12 Oct →
dust2	13–10	-0.01	13%	11 Oct →
cache	13–10	-0.02	11%	9 Oct →
mirage	8–13	-0.06	8%	9 Oct →
dust2	13–2	0.04	8%	9 Oct →
inferno	13–8	-0.01	24%	9 Oct →
office	13–5	0.01	9%	9 Oct →
overpass	7–13	-0.05	13%	9 Oct →
train	13–2	-0.00	21%	9 Oct →
nuke	7–13	0.01	10%	8 Oct →
cache	13–6	-0.01	14%	7 Oct →
dust2	13–11	0.03	14%	7 Oct →
nuke	7–13	-0.04	8%	7 Oct →
anubis	13–9	-0.07	27%	5 Oct →
inferno	10–13	-0.09	7%	5 Oct →
dust2	13–11	0.02	11%	5 Oct →
anubis	5–13	-0.01	13%	5 Oct →
ancient	3–13	-0.06	12%	5 Oct →
inferno	7–13	0.01	14%	5 Oct →
inferno	6–13	-0.03	5%	5 Oct →
anubis	1–13	-0.02	15%	3 Oct →
cache	13–8	-0.01	13%	3 Oct →
mirage	11–13	-0.00	11%	3 Oct →
mirage	13–10	-0.03	15%	3 Oct →
cache	13–9	-0.01	12%	3 Oct →
anubis	13–6	0.00	6%	2 Oct →
inferno	3–13	-0.08	20%	2 Oct →
dust2	6–13	-0.00	18%	30 Sept →
cache	13–9	0.01	11%	30 Sept →
mirage	9–13	0.00	17%	30 Sept →
vertigo	7–13	-0.03	12%	30 Sept →
cache	9–13	0.01	13%	28 Sept →
ancient	5–13	-0.06	14%	28 Sept →
anubis	8–13	-0.01	10%	28 Sept →
inferno	13–2	0.00	14%	28 Sept →
nuke	8–13	-0.00	17%	28 Sept →
ancient	13–9	0.05	12%	28 Sept →
ancient	9–13	0.07	17%	28 Sept →
mirage	10–13	-0.00	19%	27 Sept →
cache	13–2	-0.01	5%	26 Sept →
dust2	13–2	0.04	15%	26 Sept →
ancient	10–13	0.01	15%	26 Sept →
mirage	13–5	-0.00	20%	26 Sept →
cache	5–13	-0.09	15%	26 Sept →
anubis	3–13	-0.02	10%	23 Sept →
anubis	13–8	-0.00	14%	23 Sept →
nuke	9–13	-0.08	13%	23 Sept →
cache	3–13	0.01	16%	21 Sept →