dysanxd — CS2 Stats

76561197998955636[U:1:38689908]Steam profile ↗✓ No bans

148Tracked matches59%Win rate2020Tracked since

CSDB Rating6.6 SolidPositional Player

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning56

Utility38

0–100 skill scores via Leetify.

Recent form

HOT56–40–4Last 10056%Win rateWWWWLLWLWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · +5.3pp headshot accuracy · +65ms 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

4–1 · 80% win rate
Avg rating -0.02
Avg headshot accuracy 22%
Avg reaction 741ms

Last 10

7–3 · 70% win rate
Avg rating -0.01
Avg headshot accuracy 25%
Avg reaction 699ms

Last 20

11–9 · 55% win rate
Avg rating -0.01
Avg headshot accuracy 23%
Avg reaction 666ms

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 (+1.2 against its own average).

Aim8.5

Utility3.8

Positioning5.6

Opening Duels3.8

Sharp aimerExcellent counter-strafingStrong CT-side openerLimited 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 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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 85 — the mechanical foundation is a clear strength.

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 56% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 669ms 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

Aim8.5

Positioning5.6

Utility3.8

Mechanics8.5

Opening Duels3.2

Win Impact7.9

Composite 6.6/10 (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 rating-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time679ms+157ms

first ⅓ avg 522ms → last ⅓ avg 679ms

Headshot accuracy22.6%+3.5%

first ⅓ avg 19.2% → last ⅓ avg 22.6%

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

1.21Best match rating · 2–1 · workshop/2743134837/rbf_n2, 14 May →

50%Best headshot accuracy · 1–4 · inferno, 7 Oct →

263msFastest reaction time · 25–23 · mirage, 29 Jun →

16–2Biggest win · overpass, 28 Jan →

Across the last 100 tracked matches.

Highlights

9Longest win streak

W4Current streak

12–10In matches decided by ≤2 rounds

52Overtime games

Map breakdown

overpassBest map · 63% over 8mirageWeakest map · 53% over 15

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	46	25–21	54%	0.00
inferno	A	21	12–9	57%	-0.00
mirage	B	15	8–7	53%	-0.00
overpass	A	8	5–3	63%	0.01
dust2	A	7	4–3	57%	0.03
train	—	2	1–1	50%	0.00
workshop/2743134837/rbf_n2	—	1	1–0	100%	1.21

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (53% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.8%Headshot accuracy

36.2%Accuracy (enemy spotted)

46.7%Spray accuracy

88.3%Counter-strafing

8.2°Preaim

669msReaction time

24.4%T opening success

55.7%CT opening success

0.39Enemies flashed / flash

4.7%Flash assists

7.70HE damage / grenade

3.15Flashes / 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 0.3874 — 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 24.4483% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	0.02	20%	17 Jun →
cache	13–9	0.01	23%	29 May →
mirage	13–2	-0.07	17%	29 May →
overpass	13–11	-0.01	36%	29 May →
cache	9–13	-0.07	16%	29 May →
inferno	5–13	-0.03	31%	29 May →
inferno	13–10	0.00	18%	27 May →
mirage	11–13	-0.05	38%	27 May →
cache	13–8	0.08	35%	27 May →
cache	13–6	0.01	20%	27 May →
cache	7–13	-0.01	29%	27 May →
inferno	13–8	0.04	14%	26 May →
overpass	11–5	-0.03	23%	26 May →
cache	11–13	0.01	28%	26 May →
cache	13–2	-0.03	19%	26 May →
cache	11–13	0.03	19%	26 May →
cache	13–8	-0.02	14%	26 May →
cache	11–13	-0.01	16%	26 May →
cache	4–13	-0.04	24%	21 May →
cache	6–13	-0.08	14%	21 May →
cache	13–6	-0.02	21%	21 May →
cache	13–7	0.19	23%	20 May →
cache	13–11	-0.06	23%	19 May →
cache	12–12	0.05	23%	19 May →
cache	13–0	0.03	22%	19 May →
cache	7–13	-0.02	18%	19 May →
cache	8–13	-0.09	26%	19 May →
cache	13–11	0.00	19%	19 May →
cache	13–10	-0.02	28%	19 May →
cache	11–13	0.01	22%	19 May →
cache	13–9	-0.02	25%	17 May →
mirage	13–10	-0.02	23%	17 May →
cache	13–7	0.11	22%	17 May →
inferno	6–13	-0.05	33%	17 May →
cache	13–6	-0.06	18%	17 May →
cache	12–12	-0.03	31%	17 May →
cache	6–13	0.01	18%	13 May →
cache	13–3	0.08	23%	13 May →
cache	13–9	0.10	24%	12 May →
cache	12–12	0.00	17%	6 May →
cache	13–7	-0.02	40%	6 May →
dust2	13–10	0.18	32%	23 Feb →
mirage	13–11	0.11	26%	22 Feb →
overpass	13–1	0.16	39%	2 Dec →
cache	16–13	-0.01	23%	28 Jul →
workshop/2743134837/rbf_n2	2–1	1.21	18%	14 May →
cache	5–16	-0.03	12%	23 Mar →
dust2	9–5	0.00	24%	24 Nov →
cache	6–9	0.11	27%	24 Sept →
cache	13–16	0.00	19%	19 Aug →
dust2	8–16	0.00	17%	16 Jul →
inferno	16–9	0.00	17%	13 May →
mirage	16–6	0.00	15%	13 May →
mirage	12–16	0.00	14%	13 May →
inferno	6–16	0.00	20%	5 May →
mirage	6–16	0.00	19%	5 May →
inferno	3–16	0.00	7%	30 Apr →
cache	16–5	0.00	24%	30 Apr →
overpass	7–16	0.00	4%	30 Apr →
mirage	9–16	0.00	14%	17 Apr →
dust2	8–16	0.00	19%	14 Apr →
overpass	16–7	0.00	8%	13 Apr →
inferno	16–11	0.00	22%	6 Apr →
mirage	14–16	0.00	26%	6 Apr →
inferno	16–11	0.00	13%	26 Mar →
inferno	16–14	0.00	14%	24 Mar →
inferno	6–16	0.00	25%	21 Mar →
inferno	14–16	0.00	16%	21 Mar →
inferno	10–16	0.00	13%	19 Mar →
inferno	16–12	0.00	16%	4 Mar →
inferno	19–17	0.00	16%	18 Feb →
cache	16–6	0.00	20%	18 Feb →
inferno	16–10	0.00	16%	13 Feb →
overpass	16–2	0.00	15%	28 Jan →
cache	16–9	0.00	18%	20 Dec →
cache	16–9	0.00	21%	18 Nov →
inferno	16–8	0.00	20%	18 Nov →
cache	16–5	0.00	17%	19 Oct →
overpass	11–16	0.00	25%	18 Oct →
cache	14–16	0.00	30%	13 Oct →
mirage	15–15	0.00	20%	13 Oct →
inferno	1–4	0.00	50%	7 Oct →
mirage	12–16	0.00	13%	6 Oct →
mirage	16–12	0.00	20%	6 Oct →
inferno	10–16	0.00	15%	1 Oct →
cache	14–16	0.00	20%	1 Oct →
cache	4–16	0.00	15%	18 Sept →
cache	17–19	0.00	27%	5 Sept →
dust2	16–14	0.00	11%	4 Sept →
inferno	16–8	0.00	12%	4 Sept →
cache	19–17	0.00	20%	25 Aug →
train	16–8	0.00	14%	25 Aug →
mirage	19–17	0.00	15%	25 Aug →
overpass	10–16	0.00	33%	19 Jul →
mirage	25–23	0.00	12%	29 Jun →
mirage	16–7	0.00	24%	17 Jun →
train	9–16	0.00	14%	6 Jun →
dust2	16–7	0.00	24%	23 May →
dust2	4–16	0.00	15%	5 May →
cache	16–9	0.00	16%	30 Apr →