聪明如拖拉机，强壮如 — CS2 Stats

76561198090115106[U:1:129849378]✓ No bans

838Tracked matches48%Win rate2021Tracked since

CSDB Rating5.4 DevelopingAggressive Rifler

FaceitLevel 4 · 727 ELOTop 81.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning52

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY40–55–5Last 10040%Win rateLLLWWLLWWW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.1

Aggression8.7

Utility4.2

Positioning5.2

Opening Duels4.1

Clutch4.0

Excellent counter-strafing

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 ropz 87% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: higher opening-fight frequency; 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. 704ms 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

Aim7.1

Positioning5.2

Utility4.2

Mechanics8.7

Opening Duels4.1

Win Impact4.4

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time700ms−45ms

first ⅓ avg 745ms → last ⅓ avg 700ms

Headshot accuracy25.3%−7.4%

first ⅓ avg 32.7% → last ⅓ avg 25.3%

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.

Highlights

0.10Best rating — nuke 13–8

13–2Biggest win — dust2

5Longest win streak

L3Current streak

4–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 71% over 7ancientWeakest map · 14% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	13–13	50%	-0.01
mirage	B	18	9–9	50%	-0.01
ancient	D	14	2–12	14%	-0.02
inferno	D	13	4–9	31%	-0.03
nuke	C	11	4–7	36%	-0.00
cache	S	7	5–2	71%	-0.03
anubis	D	6	2–4	33%	-0.03
overpass	D	5	1–4	20%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

172Matches

48%Win rate

0.88Avg K/D

69.5ADR

59%Headshot %

Clutches & streaks

40%1v1 clutch win

15%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	47	45%	0.84	13.9
Mirage	41	59%	0.94	13.2
Anubis	24	42%	0.91	13.9
Inferno	22	50%	0.98	13.6
Ancient	14	43%	0.69	11.4
Nuke	11	45%	0.67	10.7
Train	5	40%	1.30	17.8
Overpass	4	25%	0.59	9.0

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.

26.1%Headshot accuracy

33.3%Accuracy (enemy spotted)

32.9%Spray accuracy

89.4%Counter-strafing

9.8°Preaim

704msReaction time

46.3%T opening success

46.2%CT opening success

0.40Enemies flashed / flash

9.7%Flash assists

7.03HE damage / grenade

10.71Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 703.7407ms — above the 700ms mark we flag
Aim Training →
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 0.3966 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	11–13	-0.04	33%	26 Jul →
ancient	6–13	-0.02	23%	26 Jul →
dust2	1–13	-0.05	29%	19 Jul →
cache	13–9	-0.08	29%	12 Jul →
dust2	13–10	0.04	27%	12 Jul →
nuke	11–13	-0.02	45%	5 Jul →
mirage	11–13	-0.04	24%	5 Jul →
cache	13–10	-0.04	21%	3 Jul →
nuke	13–5	0.03	36%	3 Jul →
dust2	13–2	0.04	15%	3 Jul →
cache	13–7	-0.03	21%	3 Jul →
dust2	13–2	0.05	31%	25 Jun →
anubis	7–13	-0.00	14%	25 Jun →
mirage	10–13	-0.05	3%	24 Jun →
dust2	13–9	0.01	52%	24 Jun →
inferno	8–13	-0.07	24%	24 Jun →
inferno	7–13	-0.04	21%	21 Jun →
dust2	2–13	-0.08	7%	21 Jun →
mirage	13–10	0.05	29%	31 May →
dust2	13–11	-0.06	47%	30 May →
cache	8–13	0.04	24%	30 May →
dust2	13–10	-0.03	24%	29 May →
ancient	6–13	-0.01	33%	29 May →
inferno	13–9	-0.06	13%	28 May →
ancient	4–13	-0.04	13%	26 May →
mirage	7–13	-0.01	34%	17 May →
ancient	13–9	0.03	31%	15 May →
dust2	13–4	-0.02	19%	15 May →
nuke	12–12	-0.01	20%	13 May →
cache	10–13	-0.04	28%	13 May →
cache	13–7	0.01	19%	12 May →
mirage	13–2	0.01	22%	6 May →
inferno	7–13	0.04	23%	3 May →
inferno	10–13	-0.06	29%	3 May →
dust2	6–13	-0.04	13%	1 May →
anubis	13–8	-0.04	30%	1 May →
cache	13–7	-0.03	31%	27 Apr →
anubis	6–13	-0.04	17%	27 Apr →
anubis	13–16	-0.06	16%	25 Apr →
dust2	11–13	0.03	25%	23 Apr →
inferno	13–6	0.00	13%	23 Apr →
inferno	13–16	-0.09	14%	21 Apr →
ancient	4–13	-0.04	16%	19 Apr →
ancient	9–13	-0.02	26%	15 Apr →
inferno	16–12	0.03	29%	11 Apr →
ancient	8–13	-0.02	36%	9 Apr →
dust2	8–13	0.00	22%	9 Apr →
anubis	4–13	-0.07	27%	6 Apr →
mirage	13–9	0.01	26%	6 Apr →
anubis	13–11	0.07	20%	6 Apr →
nuke	2–13	-0.05	71%	5 Apr →
overpass	7–13	0.02	22%	4 Apr →
mirage	13–11	-0.03	35%	3 Apr →
overpass	8–13	-0.04	30%	3 Apr →
dust2	9–13	-0.07	37%	3 Apr →
dust2	13–9	-0.08	31%	3 Apr →
mirage	13–7	-0.07	23%	1 Apr →
inferno	7–13	-0.05	27%	28 Mar →
dust2	12–16	-0.01	40%	27 Mar →
nuke	3–13	-0.11	44%	26 Mar →
dust2	10–13	-0.01	25%	26 Mar →
dust2	9–13	0.04	46%	26 Mar →
nuke	8–13	-0.04	23%	26 Mar →
nuke	9–5	0.00	48%	26 Mar →
nuke	8–8	0.05	33%	25 Mar →
dust2	4–13	-0.05	32%	25 Mar →
inferno	13–11	-0.03	24%	25 Mar →
dust2	13–4	0.01	30%	24 Mar →
inferno	15–15	-0.01	24%	24 Mar →
nuke	13–8	0.10	33%	24 Mar →
nuke	13–7	0.09	59%	23 Mar →
dust2	16–12	0.01	35%	23 Mar →
mirage	15–15	-0.01	27%	22 Mar →
mirage	13–9	0.06	20%	22 Mar →
overpass	15–15	-0.02	19%	21 Mar →
ancient	13–3	0.01	32%	21 Mar →
mirage	9–13	-0.05	25%	20 Mar →
overpass	13–7	0.06	24%	19 Mar →
mirage	13–8	0.07	36%	19 Mar →
ancient	8–13	0.00	19%	18 Mar →
mirage	8–13	0.00	23%	18 Mar →
ancient	6–13	-0.02	26%	17 Mar →
dust2	14–16	-0.01	21%	17 Mar →
mirage	13–4	-0.02	32%	17 Mar →
mirage	12–16	-0.04	47%	16 Mar →
dust2	13–9	-0.04	16%	16 Mar →
dust2	5–13	0.04	60%	16 Mar →
ancient	10–13	0.02	28%	16 Mar →
dust2	6–13	-0.06	32%	16 Mar →
ancient	11–13	-0.03	53%	15 Mar →
inferno	4–13	-0.04	50%	15 Mar →
ancient	8–13	-0.07	39%	15 Mar →
inferno	8–13	-0.07	16%	15 Mar →
mirage	13–7	-0.02	35%	15 Mar →
mirage	7–13	-0.09	24%	15 Mar →
dust2	13–7	0.07	38%	15 Mar →
nuke	7–13	-0.07	38%	14 Mar →
overpass	9–13	0.00	39%	14 Mar →
mirage	14–16	-0.01	39%	14 Mar →
dust2	13–7	0.02	44%	14 Mar →