🅚🅘🅝🅖🅓🅞🅣🅩 — CS2 Stats

VN76561198212777133[U:1:252511405]Steam profile ↗✓ No bans

2,245Tracked matches60%Win rate2020Tracked since

CSDB Rating7.4 StrongPositional Player

Premier CS Rating25,872Red band · top ~2.6% of ranked players (population est.)

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning72

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateLWWLWLLWWW

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

3–2 · 60% win rate
Avg rating 0.03
Avg headshot accuracy 18%
Avg reaction 581ms

Last 10

6–4 · 60% win rate
Avg rating 0.03
Avg headshot accuracy 21%
Avg reaction 557ms

Last 20

11–9 · 55% win rate
Avg rating 0.03
Avg headshot accuracy 22%
Avg reaction 557ms

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).

Aim8.2

Utility3.9

Positioning7.2

Opening Duels6.8

Clutch6.0

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 s1mple 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.8° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 561ms 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

Aim8.2

Positioning7.2

Utility3.9

Mechanics7.1

Opening Duels6.8

Win Impact8.3

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time575ms−14ms

first ⅓ avg 589ms → last ⅓ avg 575ms

Headshot accuracy20.3%+0.1%

first ⅓ avg 20.2% → last ⅓ avg 20.3%

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

0.14Best match rating · 13–3 · cache, 9 Jul →

35%Best headshot accuracy · 13–4 · mirage, 1 Oct →

422msFastest reaction time · 9–13 · anubis, 9 Jul →

13–1Biggest win · mirage, 9 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak

9–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 80% over 10anubisWeakest map · 42% over 19

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	19	11–8	58%	0.01
anubis	C	19	8–11	42%	0.01
mirage	C	16	7–9	44%	0.03
ancient	A	16	10–6	63%	0.02
cache	C	12	5–7	42%	0.00
dust2	S	10	8–2	80%	0.04
inferno	C	7	3–4	43%	-0.02
overpass	—	1	0–1	0%	0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

527Matches

54%Win rate

1.06Avg K/D

85.0ADR

42%Headshot %

Clutches & streaks

50%1v1 clutch win

31%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	123	59%	1.05	14.6
Vertigo	111	46%	1.05	16.9
Anubis	98	53%	1.08	15.4
Nuke	61	59%	1.13	16.5
Ancient	59	54%	1.06	15.4
Inferno	36	58%	1.11	15.8
Dust2	17	41%	0.99	13.0
Overpass	13	62%	0.92	15.8

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.

20.6%Headshot accuracy

41.8%Accuracy (enemy spotted)

41.0%Spray accuracy

82.0%Counter-strafing

11.8°Preaim

561msReaction time

50.7%T opening success

63.4%CT opening success

0.42Enemies flashed / flash

2.7%Flash assists

11.45HE damage / grenade

5.26Flashes / 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 0.4218 — below the 0.5 mark we flag
Grenade Lineups →

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.

42% win rate across 19 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
mirage	8–13	-0.03	21%	9 Nov →
mirage	13–7	0.04	16%	9 Nov →
nuke	13–5	0.03	32%	2 Nov →
nuke	7–13	0.05	11%	2 Nov →
nuke	13–6	0.05	11%	11 Oct →
mirage	8–13	0.05	15%	6 Oct →
ancient	9–13	-0.00	22%	4 Oct →
anubis	13–5	0.02	26%	3 Oct →
dust2	13–11	0.02	23%	2 Oct →
mirage	13–4	0.05	35%	1 Oct →
ancient	13–8	-0.04	19%	28 Sept →
nuke	13–11	0.04	12%	28 Sept →
nuke	13–9	0.05	30%	27 Sept →
anubis	8–13	0.05	28%	22 Sept →
dust2	11–13	-0.01	20%	17 Sept →
ancient	13–9	0.12	20%	17 Sept →
cache	11–13	0.00	30%	16 Sept →
nuke	13–7	0.07	21%	16 Sept →
nuke	8–13	0.08	18%	4 Sept →
anubis	6–13	0.02	21%	31 Aug →
cache	16–13	-0.02	10%	31 Aug →
ancient	13–8	-0.02	21%	31 Aug →
mirage	4–13	-0.00	32%	30 Aug →
nuke	13–9	0.06	21%	29 Aug →
ancient	13–6	0.11	18%	28 Aug →
anubis	11–13	-0.02	20%	28 Aug →
mirage	13–2	0.04	20%	23 Aug →
anubis	13–11	0.03	8%	17 Aug →
dust2	9–13	0.05	34%	16 Aug →
ancient	13–8	0.03	10%	9 Aug →
dust2	13–10	0.06	16%	9 Aug →
mirage	13–1	0.11	11%	9 Aug →
mirage	2–13	0.03	16%	6 Aug →
inferno	4–13	-0.05	10%	3 Aug →
ancient	13–8	0.08	18%	30 Jul →
dust2	13–7	0.04	26%	28 Jul →
cache	11–13	-0.01	12%	27 Jul →
nuke	16–14	0.11	21%	26 Jul →
inferno	13–10	-0.04	19%	19 Jul →
dust2	13–7	0.06	9%	19 Jul →
cache	10–13	0.02	16%	19 Jul →
anubis	5–13	0.01	25%	16 Jul →
ancient	15–15	-0.02	20%	15 Jul →
mirage	4–13	0.03	10%	14 Jul →
cache	1–13	-0.08	27%	14 Jul →
anubis	13–5	0.04	16%	14 Jul →
cache	13–3	0.01	13%	13 Jul →
anubis	8–13	-0.07	13%	13 Jul →
nuke	3–13	-0.09	9%	13 Jul →
anubis	13–11	0.02	10%	13 Jul →
ancient	8–13	-0.00	12%	13 Jul →
anubis	11–13	-0.05	25%	13 Jul →
anubis	8–13	-0.03	21%	12 Jul →
nuke	13–7	-0.06	15%	12 Jul →
mirage	13–1	0.02	16%	12 Jul →
nuke	3–13	-0.06	29%	12 Jul →
cache	8–13	-0.03	22%	12 Jul →
anubis	12–16	-0.04	31%	10 Jul →
dust2	13–11	0.01	33%	10 Jul →
dust2	13–11	0.02	22%	9 Jul →
ancient	6–13	-0.04	20%	9 Jul →
anubis	13–1	0.07	18%	9 Jul →
ancient	13–4	0.01	16%	9 Jul →
nuke	9–13	-0.04	12%	9 Jul →
anubis	11–13	-0.04	2%	9 Jul →
cache	16–13	0.05	17%	9 Jul →
anubis	9–13	0.01	15%	9 Jul →
cache	9–13	-0.01	15%	9 Jul →
inferno	13–6	0.06	19%	9 Jul →
cache	13–3	0.14	27%	9 Jul →
nuke	13–11	-0.00	17%	8 Jul →
anubis	13–8	0.05	24%	8 Jul →
mirage	13–8	0.08	19%	8 Jul →
mirage	10–13	-0.04	26%	6 Jul →
cache	6–13	-0.04	10%	6 Jul →
ancient	13–7	-0.00	18%	5 Jul →
anubis	13–6	0.01	14%	5 Jul →
ancient	9–13	0.02	30%	4 Jul →
dust2	13–10	0.04	25%	4 Jul →
dust2	13–5	0.08	25%	3 Jul →
inferno	13–8	0.00	21%	3 Jul →
ancient	12–12	0.05	18%	2 Jul →
cache	13–7	-0.03	24%	30 Jun →
mirage	13–9	0.11	22%	30 Jun →
nuke	11–13	-0.07	15%	29 Jun →
anubis	13–8	0.06	28%	29 Jun →
ancient	13–3	0.04	30%	28 Jun →
anubis	2–9	0.03	31%	28 Jun →
overpass	14–16	0.08	16%	28 Jun →
inferno	9–13	-0.03	16%	28 Jun →
nuke	13–11	-0.01	16%	28 Jun →
inferno	15–15	-0.01	15%	28 Jun →
ancient	13–1	0.05	21%	28 Jun →
mirage	3–13	-0.01	15%	26 Jun →
nuke	8–13	-0.01	33%	26 Jun →
nuke	13–6	0.02	16%	25 Jun →
inferno	7–13	-0.06	21%	25 Jun →
mirage	8–13	-0.06	14%	25 Jun →
nuke	12–12	0.03	13%	25 Jun →
mirage	10–13	0.02	15%	24 Jun →