𝑱𝒂𝒏𝒖𝒔𝒚𝒂 — CS2 Stats

LV76561199611064400[U:1:1650798672]Steam profile ↗✓ No bans

378Tracked matches36%Win rate2024Tracked since

1,420Hours in CS14Hrs last 2 wks

CSDB Rating3.7 LearningSupport

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim52

Positioning21

Utility45

0–100 skill scores via Leetify.

Recent form

COLD38–56–6Last 10038%Win rateLLWWWLTTLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −0.7pp headshot accuracy · −49ms reaction

Win rate 0pp 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

3–2 · 60% win rate
Avg rating -0.05
Avg headshot accuracy 8%
Avg reaction 635ms

Last 10

3–5–2 · 30% win rate
Avg rating -0.06
Avg headshot accuracy 8%
Avg reaction 620ms

Last 20

6–12–2 · 30% win rate
Avg rating -0.05
Avg headshot accuracy 8%
Avg reaction 644ms

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: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim5.2

Utility4.5

Positioning2.1

Opening Duels0.0

Clutch1.0

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 NiKo 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 635ms 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

Aim5.2

Positioning2.1

Utility4.5

Mechanics6.8

Opening Duels0.0

Win Impact0.2

Composite 3.7/10 (Learning), 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-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time625ms−26ms

first ⅓ avg 651ms → last ⅓ avg 625ms

Headshot accuracy8.1%−5.3%

first ⅓ avg 13.4% → last ⅓ avg 8.1%

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

0.12Best match rating · 7–0 · dust2, 12 Aug →

25%Best headshot accuracy · 7–0 · dust2, 12 Aug →

438msFastest reaction time · 13–7 · dust2, 7 Sept →

13–3Biggest win · mirage, 8 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

4–9In matches decided by ≤2 rounds

2Overtime games

Map breakdown

mirageBest map · 43% over 44dust2Weakest map · 40% over 42

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	44	19–25	43%	-0.03
dust2	C	42	17–25	40%	-0.03
inferno	C	5	2–3	40%	-0.01
anubis	—	3	0–3	0%	-0.05
nuke	—	3	0–3	0%	-0.03
cache	—	2	0–2	0%	-0.04
vertigo	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 42). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,165Lifetime kills

0.85K/D

1,836Matches

47.7%Match win rate

35.6%Headshot %

0.0%Shot accuracy

3,247MVPs

705Hours (in match)

1,780Bombs planted

807Bombs defused

Most-used weapons

AK-476,858

M4A4 / M4A1-S5,394

P2000 / USP-S1,499

MP71,384

AWP1,223

Glock-18927

FAMAS741

Desert Eagle679

P90607

Galil AR561

Lifetime map wins

7,437dust2

1,013inferno

562vertigo

204nuke

69office

33ar_shoots

30ar_baggage

16train

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

Faceit stats

Combat

39Matches

54%Win rate

1.05Avg K/D

64.4ADR

40%Headshot %

Clutches & streaks

25%1v1 clutch win

24%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	47%	1.00	12.4
Inferno	7	71%	0.96	12.7
Dust2	7	57%	1.14	13.4
Anubis	5	40%	1.16	12.4
Ancient	1	100%	1.50	18.0

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.

8.5%Headshot accuracy

30.3%Accuracy (enemy spotted)

32.5%Spray accuracy

80.8%Counter-strafing

7.1°Preaim

635msReaction time

14.6%T opening success

13.7%CT opening success

0.62Enemies flashed / flash

1.2%Flash assists

5.90HE damage / grenade

4.98Flashes / 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 8.4504% — below the 15% mark we flag
Aim Training →
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 14.6384% — below the 40% mark we flag

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.

40% win rate across 42 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
dust2	9–13	-0.04	9%	11 Nov →
mirage	3–13	-0.11	13%	11 Nov →
dust2	13–5	-0.02	16%	11 Nov →
dust2	13–5	-0.06	3%	8 Nov →
mirage	13–3	-0.00	0%	8 Nov →
dust2	4–13	-0.08	6%	8 Nov →
mirage	12–12	-0.10	3%	7 Nov →
dust2	12–12	-0.05	10%	7 Nov →
mirage	11–13	-0.03	13%	7 Nov →
dust2	6–13	-0.08	2%	7 Nov →
cache	14–16	-0.03	14%	5 Nov →
cache	11–13	-0.06	6%	5 Nov →
mirage	13–10	-0.06	5%	2 Nov →
dust2	13–9	-0.07	9%	2 Nov →
mirage	1–13	-0.07	0%	30 Oct →
anubis	3–13	-0.07	8%	29 Oct →
mirage	13–10	-0.02	13%	29 Oct →
mirage	3–13	-0.09	10%	29 Oct →
dust2	5–13	-0.04	7%	29 Oct →
mirage	6–13	0.01	9%	27 Oct →
inferno	10–13	0.06	4%	27 Oct →
mirage	5–13	0.03	3%	27 Oct →
dust2	5–13	0.07	6%	27 Oct →
dust2	13–8	-0.05	24%	24 Oct →
mirage	8–0	-0.06	0%	24 Oct →
dust2	10–13	0.04	15%	24 Oct →
dust2	3–13	-0.02	5%	23 Oct →
mirage	13–6	-0.02	9%	23 Oct →
dust2	8–13	0.00	0%	14 Oct →
mirage	13–4	-0.03	5%	14 Oct →
mirage	10–13	0.04	9%	10 Oct →
nuke	5–13	0.00	17%	10 Oct →
mirage	4–13	-0.00	11%	7 Oct →
dust2	10–13	-0.08	9%	6 Oct →
mirage	13–5	0.04	10%	6 Oct →
mirage	13–10	0.01	4%	6 Oct →
dust2	8–13	-0.07	7%	6 Oct →
nuke	9–13	0.01	8%	4 Oct →
mirage	6–13	-0.08	9%	4 Oct →
anubis	4–13	-0.07	3%	4 Oct →
dust2	5–13	-0.07	16%	3 Oct →
mirage	9–13	-0.06	10%	3 Oct →
dust2	13–6	-0.05	22%	3 Oct →
mirage	11–13	-0.00	11%	26 Sept →
anubis	8–13	-0.02	9%	26 Sept →
inferno	13–5	-0.02	14%	25 Sept →
inferno	11–13	-0.04	4%	25 Sept →
mirage	13–9	0.00	15%	23 Sept →
inferno	5–13	-0.06	0%	23 Sept →
dust2	12–12	-0.01	10%	23 Sept →
mirage	7–13	-0.04	4%	23 Sept →
mirage	4–13	-0.01	6%	13 Sept →
mirage	13–11	-0.08	19%	10 Sept →
dust2	11–13	0.00	8%	10 Sept →
dust2	8–13	-0.02	22%	9 Sept →
mirage	12–12	-0.07	6%	9 Sept →
mirage	13–5	0.02	8%	8 Sept →
dust2	11–13	-0.03	10%	8 Sept →
mirage	13–4	0.02	11%	7 Sept →
dust2	13–7	-0.02	3%	7 Sept →
dust2	13–5	0.01	4%	6 Sept →
mirage	9–13	-0.01	7%	6 Sept →
dust2	13–8	0.04	16%	6 Sept →
dust2	12–12	0.00	14%	30 Aug →
dust2	13–9	-0.04	9%	29 Aug →
nuke	5–13	-0.09	3%	26 Aug →
vertigo	4–13	-0.12	5%	26 Aug →
inferno	13–7	0.01	18%	26 Aug →
mirage	8–13	-0.07	12%	26 Aug →
dust2	13–11	-0.04	19%	26 Aug →
mirage	11–13	-0.09	24%	23 Aug →
dust2	16–13	0.02	18%	20 Aug →
mirage	11–13	-0.02	10%	20 Aug →
mirage	13–9	0.01	9%	19 Aug →
dust2	13–7	-0.02	14%	19 Aug →
mirage	13–11	-0.03	11%	14 Aug →
dust2	13–11	-0.06	10%	14 Aug →
dust2	4–13	-0.08	15%	14 Aug →
mirage	10–13	-0.02	11%	12 Aug →
mirage	6–13	-0.06	5%	12 Aug →
dust2	7–0	0.12	25%	12 Aug →
mirage	7–13	0.01	20%	12 Aug →
dust2	7–13	-0.08	11%	10 Aug →
mirage	13–7	0.02	20%	9 Aug →
dust2	10–13	0.02	21%	9 Aug →
mirage	10–13	-0.00	5%	7 Aug →
dust2	13–7	-0.04	0%	7 Aug →
mirage	7–13	-0.09	8%	6 Aug →
mirage	13–5	-0.00	13%	6 Aug →
dust2	10–13	-0.04	13%	6 Aug →
dust2	13–7	-0.01	6%	4 Aug →
dust2	10–13	0.02	22%	29 Jul →
mirage	13–8	-0.03	6%	27 Jul →
mirage	6–13	-0.05	11%	27 Jul →
dust2	6–13	-0.02	17%	26 Jul →
dust2	12–12	-0.11	18%	26 Jul →
mirage	13–7	-0.02	6%	20 Jul →
mirage	13–6	0.03	6%	17 Jul →
dust2	13–10	0.01	20%	16 Jul →
dust2	8–13	-0.04	18%	15 Jul →