. — CS2 Stats

76561198352019831[U:1:391754103]Steam profile ↗✓ No bans

449Tracked matches67%Win rate2020Tracked since

1,275Hours in CS

CSDB Rating4.6 DevelopingPositional Player

Premier CS Rating10,407Blue band · top ~52.7% of ranked players (population est.)

FaceitLevel 4 · 1,000 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim37

Positioning43

Utility38

0–100 skill scores via Leetify.

Recent form

HOT41–55–4Last 10041%Win rateWLWWLWWWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −3.4pp headshot accuracy · +34ms reaction

Win rate up 20pp 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

3–2 · 60% win rate
Avg rating -0.05
Avg headshot accuracy 15%
Avg reaction 697ms

Last 10

7–3 · 70% win rate
Avg rating -0.04
Avg headshot accuracy 15%
Avg reaction 662ms

Last 20

12–8 · 60% win rate
Avg rating -0.05
Avg headshot accuracy 16%
Avg reaction 645ms

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 (+2.2 against its own average).

Aim3.7

Utility3.8

Positioning4.3

Opening Duels0.4

Clutch0.0

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 73% 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. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 25% on CT — first contacts on the defending side are being lost.

Reaction time. 670ms 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

Aim3.7

Positioning4.3

Utility3.8

Mechanics5.9

Opening Duels3.9

Win Impact10.0

Composite 4.6/10 (Developing), 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-0.04+0.00

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time669ms−34ms

first ⅓ avg 703ms → last ⅓ avg 669ms

Headshot accuracy15.5%−1.1%

first ⅓ avg 16.6% → 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

0.08Best match rating · 13–2 · mirage, 4 May →

57%Best headshot accuracy · 1–13 · overpass, 27 May →

500msFastest reaction time · 2–13 · dust2, 17 May →

13–1Biggest win · dust2, 4 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

9–1In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 56% over 9anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	36	18–18	50%	-0.04
mirage	C	18	7–11	39%	-0.04
cache	D	15	5–10	33%	-0.04
inferno	A	9	5–4	56%	-0.05
anubis	D	8	2–6	25%	-0.07
nuke	C	8	3–5	38%	-0.04
ancient	—	3	0–3	0%	-0.05
overpass	—	3	1–2	33%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,515Lifetime kills

0.87K/D

3,034Matches

42.9%Match win rate

45.1%Headshot %

12.8%Shot accuracy

7,053MVPs

1,275Hours (in match)

2,054Bombs planted

474Bombs defused

Most-used weapons

AK-477,277

AWP6,955

P905,584

M4A4 / M4A1-S4,558

Desert Eagle3,816

P2000 / USP-S2,722

SG 5532,459

AUG2,197

Glock-182,025

Negev1,578

Lifetime map wins

15,621dust2

3,457office

3,051inferno

1,132nuke

565vertigo

339train

84cbble

29safehouse

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

Faceit stats

Combat

437Matches

48%Win rate

0.95Avg K/D

52.3ADR

45%Headshot %

Clutches & streaks

0%1v1 clutch win

33%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	0%	0.54	7.5
Anubis	1	0%	0.29	4.0
Cache	1	100%	0.65	11.0
Overpass	1	100%	1.13	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.

15.7%Headshot accuracy

29.1%Accuracy (enemy spotted)

28.0%Spray accuracy

76.6%Counter-strafing

10.7°Preaim

670msReaction time

60.8%T opening success

24.7%CT opening success

0.51Enemies flashed / flash

2.2%Flash assists

4.45HE damage / grenade

7.51Flashes / 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.

Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 24.733% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	-0.04	30%	31 Oct →
anubis	10–13	-0.09	8%	17 Oct →
mirage	13–9	-0.08	9%	16 Oct →
mirage	13–6	-0.02	7%	16 Oct →
inferno	8–13	-0.01	21%	16 Oct →
inferno	13–11	0.02	19%	16 Oct →
nuke	13–8	0.02	15%	16 Oct →
inferno	13–4	-0.12	11%	16 Oct →
anubis	0–13	-0.09	15%	15 Oct →
cache	13–5	-0.03	13%	15 Oct →
inferno	16–14	-0.08	21%	14 Oct →
inferno	9–13	-0.08	17%	14 Oct →
nuke	9–13	0.01	17%	13 Oct →
dust2	13–5	-0.03	16%	12 Oct →
dust2	13–7	-0.01	21%	12 Oct →
mirage	13–3	-0.10	12%	12 Oct →
nuke	9–13	-0.10	22%	12 Oct →
cache	7–13	-0.01	18%	6 Oct →
mirage	4–13	-0.11	22%	6 Oct →
anubis	16–12	-0.03	16%	4 Oct →
dust2	13–1	-0.02	9%	4 Oct →
dust2	13–11	-0.05	13%	2 Oct →
dust2	13–10	-0.00	21%	2 Oct →
dust2	13–6	0.02	13%	2 Oct →
inferno	13–7	-0.01	8%	30 Sept →
anubis	12–16	-0.06	17%	29 Sept →
nuke	13–6	-0.04	18%	28 Sept →
anubis	13–4	-0.07	11%	28 Sept →
mirage	10–13	-0.01	9%	27 Sept →
cache	13–8	-0.04	18%	26 Sept →
dust2	13–11	-0.07	14%	26 Sept →
dust2	13–7	0.05	19%	3 Sept →
dust2	13–8	-0.02	17%	3 Sept →
cache	5–13	-0.03	23%	2 Sept →
anubis	5–13	-0.02	33%	2 Sept →
dust2	11–13	-0.03	28%	2 Sept →
dust2	1–13	-0.10	23%	22 Jul →
dust2	13–2	-0.01	21%	21 Jul →
cache	5–13	-0.03	17%	10 Jul →
ancient	9–13	-0.04	11%	23 Jun →
cache	6–13	-0.03	11%	23 Jun →
dust2	3–13	0.01	17%	23 Jun →
mirage	2–13	-0.09	12%	17 Jun →
dust2	4–13	-0.08	18%	11 Jun →
dust2	16–14	-0.03	36%	11 Jun →
nuke	0–13	-0.10	7%	11 Jun →
inferno	2–13	-0.05	28%	10 Jun →
dust2	6–13	-0.06	17%	10 Jun →
dust2	13–10	-0.08	4%	10 Jun →
mirage	9–13	0.01	30%	9 Jun →
mirage	13–16	-0.06	21%	9 Jun →
mirage	10–13	-0.05	35%	8 Jun →
nuke	1–13	-0.08	28%	8 Jun →
dust2	13–11	-0.03	28%	1 Jun →
inferno	6–13	-0.04	18%	1 Jun →
dust2	9–13	-0.08	32%	1 Jun →
cache	3–13	-0.04	11%	1 Jun →
cache	13–7	-0.04	23%	1 Jun →
cache	12–12	0.00	13%	28 May →
anubis	2–13	-0.10	18%	28 May →
dust2	12–12	-0.06	21%	27 May →
cache	12–12	-0.09	15%	27 May →
overpass	1–13	-0.08	57%	27 May →
cache	2–13	-0.10	7%	27 May →
dust2	13–8	0.00	15%	26 May →
nuke	13–5	-0.05	10%	26 May →
cache	3–13	-0.06	8%	25 May →
dust2	2–13	-0.09	10%	25 May →
mirage	13–5	0.01	11%	25 May →
dust2	8–13	-0.01	7%	21 May →
dust2	2–13	-0.07	18%	21 May →
cache	4–13	-0.07	15%	21 May →
nuke	6–13	0.01	20%	21 May →
mirage	8–13	-0.06	13%	21 May →
mirage	7–13	-0.04	14%	20 May →
dust2	5–13	-0.05	17%	20 May →
dust2	4–13	-0.04	25%	18 May →
dust2	15–15	-0.04	24%	18 May →
dust2	1–13	-0.09	33%	18 May →
mirage	4–13	-0.09	17%	18 May →
overpass	9–13	-0.03	15%	18 May →
dust2	2–13	-0.04	15%	17 May →
cache	13–9	-0.06	18%	17 May →
cache	12–6	0.01	7%	14 May →
dust2	13–9	-0.07	12%	14 May →
dust2	13–11	-0.07	11%	13 May →
dust2	16–14	0.03	14%	12 May →
dust2	5–13	0.00	24%	8 May →
ancient	13–16	-0.01	13%	8 May →
mirage	8–13	-0.08	21%	7 May →
dust2	3–13	-0.11	10%	7 May →
mirage	6–13	-0.07	0%	6 May →
mirage	13–2	0.08	27%	4 May →
anubis	2–13	-0.07	14%	4 May →
mirage	13–6	-0.00	22%	3 May →
dust2	7–13	-0.02	23%	3 May →
mirage	13–4	0.01	13%	3 May →
overpass	13–5	-0.03	17%	3 May →
inferno	13–10	-0.05	23%	3 May →
ancient	13–16	-0.10	25%	3 May →