🅶🆈🆄🅻🆄🆂🅺🅰 — CS2 Stats

HU76561198348982291[U:1:388716563]Steam profile ↗✓ No bans

1,355Tracked matches34%Win rate2020Tracked since

4,698Hours in CS17Hrs last 2 wks

CSDB Rating3.8 LearningPositional Player

Premier CS Rating10,929Blue band · top ~50% of ranked players (population est.)

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim34

Positioning57

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateLWLLWLLWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −1.2pp headshot accuracy · −59ms reaction

Win rate +10pp 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

2–3 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 19%
Avg reaction 593ms

Last 10

4–6 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 587ms

Last 20

7–13 · 35% win rate
Avg rating -0.01
Avg headshot accuracy 17%
Avg reaction 616ms

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 (+2.4 against its own average).

Aim3.4

Utility4.7

Positioning5.7

Opening Duels3.0

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 jL 66% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.4

Positioning5.7

Utility4.7

Mechanics4.3

Opening Duels5.1

Win Impact0.0

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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time654ms+21ms

first ⅓ avg 633ms → last ⅓ avg 654ms

Headshot accuracy16.7%+0.7%

first ⅓ avg 15.9% → last ⅓ avg 16.7%

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 · inferno, 20 Oct →

44%Best headshot accuracy · 9–6 · inferno, 14 Nov →

406msFastest reaction time · 2–13 · dust2, 19 Sept →

13–1Biggest win · inferno, 11 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak

8–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 57% over 7mirageWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	45	20–25	44%	-0.03
inferno	B	20	10–10	50%	-0.01
mirage	D	18	6–12	33%	-0.03
anubis	A	7	4–3	57%	0.01
ancient	—	4	3–1	75%	0.02
nuke	—	4	1–3	25%	-0.06
cache	—	2	0–2	0%	-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

115,118Lifetime kills

0.83K/D

6,799Matches

42.3%Match win rate

41.7%Headshot %

12.0%Shot accuracy

14,980MVPs

2,673Hours (in match)

4,227Bombs planted

1,038Bombs defused

Most-used weapons

AK-4730,404

M4A4 / M4A1-S18,705

AWP14,636

P2000 / USP-S6,637

Glock-185,447

PP-Bizon5,415

FAMAS5,312

P903,602

MP73,296

Galil AR2,908

Lifetime map wins

32,200inferno

18,210dust2

1,176vertigo

1,132nuke

700office

516cbble

326train

123lake

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

Faceit stats

Combat

54Matches

52%Win rate

0.70Avg K/D

115.1ADR

40%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	9	67%	0.77	10.6
Vertigo	6	50%	0.66	8.7
Ancient	3	33%	0.68	14.0
Mirage	2	0%	0.61	11.5
Anubis	1	0%	0.25	4.0
Dust2	1	100%	1.36	15.0

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.

15.3%Headshot accuracy

28.5%Accuracy (enemy spotted)

31.5%Spray accuracy

69.3%Counter-strafing

11.0°Preaim

652msReaction time

54.8%T opening success

45.6%CT opening success

0.42Enemies flashed / flash

7.8%Flash assists

11.17HE damage / grenade

7.71Flashes / 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 0.4158 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	-0.08	7%	14 Nov →
inferno	9–6	0.07	44%	14 Nov →
inferno	5–9	-0.05	13%	14 Nov →
dust2	4–13	-0.01	21%	14 Nov →
mirage	13–11	0.03	13%	13 Nov →
cache	5–13	-0.07	11%	13 Nov →
anubis	11–13	0.04	8%	13 Nov →
inferno	13–11	0.00	15%	13 Nov →
inferno	5–9	0.01	22%	13 Nov →
mirage	13–2	-0.04	10%	13 Nov →
mirage	13–11	-0.02	19%	12 Nov →
dust2	9–13	-0.03	22%	12 Nov →
cache	9–13	-0.06	24%	11 Nov →
inferno	13–1	0.05	16%	11 Nov →
ancient	13–16	-0.02	15%	10 Nov →
mirage	14–16	0.03	22%	10 Nov →
dust2	11–13	-0.00	12%	10 Nov →
dust2	16–12	-0.01	9%	9 Nov →
mirage	8–13	-0.01	16%	9 Nov →
mirage	10–13	-0.03	20%	8 Nov →
mirage	8–13	0.00	10%	8 Nov →
dust2	11–13	-0.02	12%	4 Nov →
dust2	6–2	-0.02	27%	4 Nov →
mirage	8–13	-0.06	21%	2 Nov →
dust2	13–10	-0.12	10%	27 Oct →
dust2	11–13	-0.07	6%	27 Oct →
dust2	6–13	-0.02	17%	27 Oct →
dust2	6–13	-0.11	6%	26 Oct →
dust2	16–14	0.01	8%	26 Oct →
dust2	12–12	-0.05	20%	25 Oct →
dust2	5–13	-0.03	26%	25 Oct →
inferno	6–10	-0.04	18%	25 Oct →
inferno	13–6	0.05	30%	23 Oct →
dust2	7–13	-0.02	15%	23 Oct →
dust2	13–8	-0.06	16%	23 Oct →
nuke	13–1	-0.04	16%	23 Oct →
inferno	13–3	-0.04	9%	23 Oct →
inferno	12–12	-0.07	22%	23 Oct →
dust2	6–13	-0.02	13%	23 Oct →
dust2	13–11	0.03	17%	23 Oct →
dust2	13–9	-0.02	18%	23 Oct →
nuke	8–13	-0.05	17%	21 Oct →
dust2	11–13	-0.02	13%	21 Oct →
anubis	13–11	0.01	21%	21 Oct →
inferno	8–13	-0.07	12%	21 Oct →
nuke	6–13	-0.08	21%	21 Oct →
dust2	13–9	-0.01	14%	20 Oct →
mirage	13–7	0.01	16%	20 Oct →
inferno	13–5	0.09	26%	20 Oct →
dust2	12–12	-0.03	16%	19 Oct →
dust2	11–13	0.01	19%	19 Oct →
dust2	13–9	-0.04	13%	18 Oct →
mirage	4–13	-0.10	26%	17 Oct →
inferno	5–13	-0.05	21%	17 Oct →
dust2	11–13	-0.05	31%	17 Oct →
ancient	13–6	0.08	29%	17 Oct →
mirage	8–13	0.02	15%	17 Oct →
anubis	13–5	0.07	16%	17 Oct →
inferno	13–11	-0.04	14%	16 Oct →
inferno	8–8	-0.03	22%	16 Oct →
dust2	13–6	0.01	21%	15 Oct →
ancient	13–2	0.00	13%	15 Oct →
mirage	8–13	-0.03	3%	15 Oct →
dust2	13–6	-0.01	18%	15 Oct →
inferno	13–9	0.06	25%	15 Oct →
dust2	13–8	0.03	13%	14 Oct →
mirage	13–4	0.02	26%	14 Oct →
dust2	13–11	-0.05	15%	14 Oct →
dust2	13–8	-0.04	26%	14 Oct →
inferno	9–6	-0.01	17%	14 Oct →
inferno	12–16	-0.03	15%	14 Oct →
anubis	15–15	-0.01	16%	14 Oct →
dust2	13–8	0.06	15%	13 Oct →
dust2	13–8	0.04	13%	13 Oct →
mirage	9–13	-0.03	10%	13 Oct →
nuke	9–13	-0.07	17%	13 Oct →
dust2	12–12	0.01	16%	9 Oct →
dust2	9–13	0.04	20%	6 Oct →
dust2	13–4	0.03	23%	6 Oct →
anubis	4–13	-0.06	11%	5 Oct →
dust2	0–13	-0.14	0%	5 Oct →
anubis	13–3	0.01	21%	3 Oct →
dust2	2–13	-0.02	18%	3 Oct →
dust2	10–13	-0.03	18%	30 Sept →
inferno	7–13	-0.02	20%	29 Sept →
mirage	7–13	-0.04	12%	29 Sept →
mirage	1–8	-0.05	29%	29 Sept →
anubis	13–10	-0.02	13%	29 Sept →
ancient	13–10	0.01	18%	28 Sept →
mirage	13–7	-0.09	7%	28 Sept →
dust2	13–6	-0.05	19%	24 Sept →
dust2	13–4	-0.01	16%	24 Sept →
dust2	4–13	-0.10	17%	24 Sept →
inferno	13–6	-0.05	14%	24 Sept →
dust2	8–13	-0.02	13%	24 Sept →
dust2	14–16	-0.04	17%	22 Sept →
dust2	0–13	-0.09	23%	22 Sept →
inferno	9–13	-0.03	7%	20 Sept →
dust2	8–2	-0.00	4%	19 Sept →
dust2	2–13	-0.04	26%	19 Sept →