Socker — CS2 Stats

76561197971781253[U:1:11515525]✓ No bans

776Tracked matches50%Win rate2020Tracked since

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating21,213Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning54

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWLWLWLWLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

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

Aim7.1

Aggression7.8

Utility5.8

Positioning5.4

Opening Duels3.2

Clutch2.6

Strong CT-side opener

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 b1t 92% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

T-side openings. Opening success drops from 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Positioning5.4

Utility5.8

Mechanics7.1

Opening Duels3.2

Win Impact5.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time577ms−8ms

first ⅓ avg 585ms → last ⅓ avg 577ms

Headshot accuracy20.6%+1.1%

first ⅓ avg 19.5% → last ⅓ avg 20.6%

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

0.12Best rating — anubis 7–2

13–1Biggest win — inferno

8Longest win streak

10–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 61% over 33ancientWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	33	20–13	61%	-0.01
inferno	B	25	13–12	52%	-0.01
overpass	C	11	4–7	36%	-0.02
anubis	C	9	4–5	44%	-0.01
ancient	D	6	2–4	33%	-0.02
nuke	A	5	3–2	60%	0.01
vertigo	—	4	2–2	50%	-0.01
cache	—	4	1–3	25%	-0.03
mirage	—	3	2–1	67%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

503Matches

51%Win rate

0.93Avg K/D

64.2ADR

43%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	3	0%	0.73	13.3
Nuke	1	100%	0.53	10.0
Anubis	1	0%	0.60	15.0
Ancient	1	0%	0.64	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.

20.5%Headshot accuracy

29.7%Accuracy (enemy spotted)

30.4%Spray accuracy

81.8%Counter-strafing

7.2°Preaim

578msReaction time

33.6%T opening success

52.1%CT opening success

0.44Enemies flashed / flash

6.9%Flash assists

11.57HE damage / grenade

11.15Flashes / 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 0.444 — 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 33.5645% — below the 40% mark we flag

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.

33% win rate across 6 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
vertigo	16–14	0.01	28%	17 Aug →
nuke	7–13	-0.02	30%	12 Aug →
dust2	13–9	-0.04	14%	12 Aug →
mirage	7–13	-0.02	29%	12 Aug →
dust2	13–11	-0.02	18%	11 Aug →
overpass	8–13	-0.02	19%	11 Aug →
dust2	9–4	-0.07	16%	11 Aug →
inferno	13–16	0.02	16%	10 Aug →
dust2	13–7	0.02	18%	10 Aug →
inferno	13–4	0.01	17%	10 Aug →
dust2	13–11	0.01	25%	6 Aug →
dust2	13–10	-0.04	19%	6 Aug →
inferno	13–8	-0.03	14%	6 Aug →
dust2	16–14	-0.06	33%	6 Aug →
vertigo	8–13	-0.01	20%	6 Aug →
ancient	8–13	-0.00	36%	6 Aug →
nuke	13–9	0.02	15%	6 Aug →
overpass	9–13	-0.03	12%	5 Aug →
inferno	6–13	-0.06	29%	5 Aug →
inferno	11–13	0.01	20%	4 Aug →
anubis	9–13	-0.04	33%	4 Aug →
inferno	13–1	0.05	14%	4 Aug →
dust2	8–13	-0.02	13%	4 Aug →
overpass	10–13	-0.05	15%	4 Aug →
overpass	7–13	0.03	16%	3 Aug →
dust2	13–10	-0.01	17%	3 Aug →
inferno	5–13	-0.02	18%	3 Aug →
anubis	3–13	0.02	18%	3 Aug →
dust2	16–13	-0.02	9%	2 Aug →
inferno	13–7	-0.01	29%	2 Aug →
dust2	19–16	0.01	20%	2 Aug →
overpass	13–9	0.03	25%	1 Aug →
inferno	16–19	-0.02	24%	1 Aug →
mirage	13–11	-0.03	29%	1 Aug →
dust2	7–13	0.01	24%	31 Jul →
anubis	8–13	-0.06	27%	30 Jul →
nuke	13–10	-0.02	19%	30 Jul →
dust2	10–13	-0.06	32%	30 Jul →
inferno	13–9	0.01	23%	30 Jul →
dust2	11–13	0.02	16%	29 Jul →
dust2	13–11	0.04	24%	29 Jul →
inferno	10–13	-0.02	21%	29 Jul →
ancient	5–13	-0.07	33%	29 Jul →
mirage	13–11	-0.02	19%	27 Jul →
dust2	10–13	-0.02	12%	27 Jul →
inferno	13–10	-0.01	20%	27 Jul →
anubis	11–13	-0.03	8%	21 Jul →
overpass	10–13	-0.01	19%	20 Jul →
ancient	13–10	0.01	29%	20 Jul →
vertigo	13–9	0.00	19%	20 Jul →
cache	13–4	0.01	16%	20 Jul →
dust2	7–13	0.04	29%	20 Jul →
anubis	13–8	-0.01	12%	18 Jul →
overpass	13–2	0.01	18%	18 Jul →
inferno	8–13	-0.04	16%	18 Jul →
dust2	9–13	-0.03	17%	18 Jul →
ancient	8–13	-0.04	12%	18 Jul →
dust2	10–13	0.01	21%	18 Jul →
nuke	11–13	-0.00	15%	18 Jul →
dust2	13–8	0.09	19%	18 Jul →
inferno	11–13	-0.06	21%	18 Jul →
dust2	13–10	0.03	46%	2 Jul →
inferno	9–13	-0.02	21%	2 Jul →
anubis	13–8	-0.05	22%	2 Jul →
cache	10–13	-0.04	21%	2 Jul →
anubis	7–2	0.12	32%	2 Jul →
inferno	13–6	0.03	10%	1 Jul →
dust2	13–8	0.01	18%	1 Jul →
ancient	13–8	-0.00	13%	30 Jun →
anubis	8–13	-0.02	20%	30 Jun →
dust2	13–9	-0.02	13%	29 Jun →
ancient	11–13	-0.04	22%	25 Jun →
inferno	8–13	-0.07	31%	25 Jun →
inferno	2–13	-0.07	17%	25 Jun →
cache	5–13	-0.08	38%	22 Jun →
inferno	16–14	0.03	15%	22 Jun →
dust2	6–13	0.04	23%	22 Jun →
cache	7–13	-0.00	18%	17 Jun →
overpass	13–8	-0.02	15%	17 Jun →
dust2	13–11	0.03	12%	14 Jun →
inferno	13–9	0.01	21%	14 Jun →
dust2	16–13	0.02	17%	14 Jun →
overpass	3–13	-0.09	18%	11 Jun →
inferno	13–2	0.04	19%	11 Jun →
dust2	4–13	-0.02	26%	8 Jun →
dust2	14–16	0.00	17%	8 Jun →
dust2	13–11	-0.06	20%	7 Jun →
inferno	13–10	0.00	16%	7 Jun →
inferno	13–4	0.11	25%	7 Jun →
inferno	13–10	-0.02	23%	6 Jun →
dust2	13–9	-0.02	19%	6 Jun →
anubis	13–9	-0.01	26%	4 Jun →
dust2	13–3	-0.01	21%	4 Jun →
overpass	13–7	0.02	17%	4 Jun →
vertigo	11–13	-0.05	23%	4 Jun →
dust2	9–13	-0.00	19%	4 Jun →
dust2	8–13	-0.05	10%	4 Jun →
nuke	13–10	0.07	29%	3 Jun →
inferno	6–13	-0.02	13%	3 Jun →
overpass	4–13	-0.10	10%	19 May →