𝚔𝚛𝚊𝚖𝚙𝚏𝚒 — CS2 Stats

76561198246014890[U:1:285749162]

1,135Tracked matches27%Win rate2020Tracked since

2,760Hours in CS

CSDB Rating4.7 DevelopingPassive Rifler

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning48

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLWWLLLWWLL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.3

Aggression4.4

Utility4.3

Positioning4.8

Opening Duels0.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 84% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 633ms 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

Aim6.3

Positioning4.8

Utility4.3

Mechanics7.3

Opening Duels0.9

Win Impact0.0

Composite 4.7/10 (Developing), 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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time637ms+29ms

first ⅓ avg 609ms → last ⅓ avg 637ms

Headshot accuracy19.6%−5.0%

first ⅓ avg 24.6% → last ⅓ avg 19.6%

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.

Highlights

0.15Best rating — dogtown 9–6

13–0Biggest win — dust2

6Longest win streak

1–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 65% over 23mirageWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	23	15–8	65%	-0.02
dust2	A	20	11–9	55%	-0.02
anubis	C	14	6–8	43%	-0.03
inferno	D	11	3–8	27%	-0.05
mirage	D	8	1–7	13%	-0.04
cache	C	8	3–5	38%	-0.02
train	C	5	2–3	40%	-0.01
overpass	—	4	1–3	25%	-0.06
vertigo	—	4	4–0	100%	0.02
dogtown	—	1	1–0	100%	0.15
whistle	—	1	1–0	100%	-0.05
nuke	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

202,601Lifetime kills

0.96K/D

9,535Matches

42.1%Match win rate

42.0%Headshot %

17.5%Shot accuracy · Top 25% of tracked players

19,907MVPs

2,760Hours (in match)

8,030Bombs planted

2,756Bombs defused

Most-used weapons

AK-4760,454

M4A4 / M4A1-S36,891

Five-SeveN29,003

AWP11,459

P2000 / USP-S9,075

Desert Eagle8,257

Glock-185,428

UMP-453,435

Galil AR3,261

P2502,768

Lifetime map wins

8,916inferno

5,875dust2

3,823train

3,074vertigo

1,780nuke

999cbble

378office

211italy

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

Faceit stats

Combat

176Matches

55%Win rate

1.06Avg K/D

—ADR

48%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

5Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	13	69%	1.22	14.7
Anubis	11	55%	0.92	13.4
Vertigo	9	56%	1.06	14.2
Inferno	1	0%	0.88	14.0
Overpass	1	0%	0.80	12.0

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.

19.7%Headshot accuracy

31.0%Accuracy (enemy spotted)

37.2%Spray accuracy

83.0%Counter-strafing

10.5°Preaim

633msReaction time

29.5%T opening success

37.0%CT opening success

0.36Enemies flashed / flash

7.8%Flash assists

11.03HE damage / grenade

8.04Flashes / 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 0.3589 — 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 29.4988% — below the 40% mark we flag

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.

13% win rate across 8 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
inferno	14–16	-0.01	22%	7 Aug →
mirage	13–4	-0.03	33%	5 Aug →
dust2	16–13	-0.01	19%	21 Jul →
cache	5–13	-0.03	19%	21 Jul →
ancient	4–13	-0.03	10%	21 Jul →
train	8–13	0.03	13%	17 Jul →
cache	13–10	-0.01	32%	16 Jul →
ancient	13–10	-0.06	8%	16 Jul →
inferno	10–13	-0.05	19%	15 Jul →
cache	3–13	-0.01	8%	15 Jul →
overpass	9–13	-0.06	16%	8 Jul →
cache	11–13	-0.04	22%	8 Jul →
cache	13–5	-0.02	13%	6 Jul →
dust2	13–0	0.03	34%	2 Jul →
anubis	4–13	-0.06	20%	2 Jul →
mirage	8–13	-0.06	26%	1 Jul →
dust2	8–13	-0.02	26%	30 Jun →
ancient	13–10	0.02	22%	30 Jun →
ancient	13–7	0.03	24%	30 Jun →
mirage	8–13	-0.02	11%	30 Jun →
inferno	2–13	-0.06	19%	30 Jun →
mirage	7–13	-0.03	21%	29 Jun →
inferno	3–13	-0.03	8%	29 Jun →
anubis	2–13	-0.04	15%	25 Jun →
dust2	5–13	-0.04	21%	25 Jun →
dust2	11–13	0.01	20%	25 Jun →
mirage	9–13	-0.02	25%	24 Jun →
overpass	14–16	0.03	22%	24 Jun →
cache	6–13	-0.01	16%	24 Jun →
cache	3–13	-0.06	25%	24 Jun →
mirage	15–15	-0.04	21%	23 Jun →
ancient	16–13	0.07	20%	23 Jun →
cache	13–6	-0.01	17%	23 Jun →
dust2	13–2	-0.02	17%	22 Jun →
ancient	7–13	0.00	12%	22 Jun →
ancient	8–13	-0.07	24%	26 Apr →
anubis	12–12	-0.06	19%	26 Apr →
ancient	13–8	-0.04	19%	26 Apr →
anubis	13–7	-0.06	14%	24 Apr →
vertigo	13–10	-0.01	30%	24 Apr →
dust2	5–13	-0.07	25%	24 Apr →
ancient	9–13	-0.07	17%	24 Apr →
dust2	5–13	-0.04	27%	24 Apr →
train	7–13	0.00	10%	24 Apr →
vertigo	13–6	0.03	13%	24 Apr →
ancient	2–13	-0.10	23%	24 Apr →
ancient	13–5	0.02	32%	14 Jan →
anubis	7–13	0.01	35%	14 Jan →
ancient	9–1	0.04	23%	14 Jan →
ancient	13–11	-0.04	32%	9 Jan →
overpass	13–16	-0.08	19%	9 Jan →
train	13–9	0.01	24%	9 Jan →
ancient	13–6	-0.03	23%	9 Jan →
ancient	14–16	-0.01	15%	8 Jan →
dust2	13–9	-0.02	12%	8 Jan →
ancient	13–9	0.01	30%	8 Jan →
mirage	9–13	-0.04	24%	7 Jan →
inferno	13–5	0.04	19%	7 Jan →
dust2	13–10	0.01	36%	7 Jan →
inferno	11–13	-0.02	24%	7 Jan →
dust2	11–13	-0.04	26%	7 Jan →
dust2	13–7	-0.05	25%	7 Jan →
dust2	6–13	-0.08	9%	6 Jan →
inferno	13–10	-0.02	30%	6 Jan →
ancient	13–2	0.01	22%	6 Jan →
inferno	9–2	-0.08	100%	6 Jan →
dust2	11–13	-0.01	26%	6 Jan →
dust2	13–0	0.02	33%	4 Jan →
train	4–13	-0.07	13%	18 Dec →
anubis	13–3	-0.03	15%	18 Dec →
ancient	13–4	-0.01	32%	18 Dec →
dust2	11–13	0.02	27%	23 Aug →
inferno	9–13	-0.04	22%	23 Aug →
dogtown	9–6	0.15	29%	22 Aug →
mirage	6–13	-0.04	20%	22 Aug →
dust2	13–7	-0.01	34%	22 Aug →
anubis	9–13	-0.04	26%	22 Aug →
ancient	1–5	-0.06	20%	22 Aug →
ancient	13–5	-0.05	19%	20 Aug →
anubis	13–4	-0.04	20%	20 Aug →
dust2	13–1	-0.03	36%	20 Aug →
dust2	13–8	-0.08	14%	10 Jul →
anubis	8–0	0.02	44%	10 Jul →
ancient	13–5	0.01	31%	10 Jul →
ancient	5–13	-0.06	14%	10 Jul →
dust2	13–10	-0.04	19%	2 Jul →
train	13–8	-0.02	42%	2 Jul →
anubis	8–13	0.05	21%	30 Jun →
anubis	14–16	-0.04	20%	30 Jun →
anubis	13–6	-0.04	24%	29 Jun →
ancient	13–10	-0.04	7%	29 Jun →
anubis	7–13	-0.09	12%	29 Jun →
whistle	9–6	-0.05	29%	17 Apr →
overpass	9–4	-0.13	21%	17 Apr →
nuke	8–8	-0.04	29%	17 Apr →
vertigo	9–6	0.07	43%	17 Apr →
inferno	5–9	-0.19	27%	17 Apr →
anubis	13–10	-0.03	27%	1 Apr →
vertigo	13–6	-0.00	26%	1 Apr →
inferno	12–12	-0.05	14%	1 Apr →