Abesik — CS2 Stats

76561198152314147[U:1:192048419]

1,510Tracked matches45%Win rate2020Tracked since

5,747Hours in CS30Hrs last 2 wks

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating25,836Top 25% of 819 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#1209 of 9828 tracked

FaceitLevel 10 · 2,094 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	58.3%	52.8%
Shot accuracy	13.3%	13.7%
Kill/death ratio	1.16	1.08
Match win rate	46.8%	49.2%

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Performance scores

Aim89

Positioning61

Utility56

0–100 skill scores via Leetify.

Recent form

COLD55–40–5Last 10055%Win rateLLLWLLLWLW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim8.9

Aggression10.0

Utility5.6

Positioning6.1

Opening Duels5.5

Clutch3.8

Sharp aimerStrong 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 sh1ro 94% playstyle similarity

Most alike: opening-fight frequency, 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 64% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim8.9

Positioning6.1

Utility5.6

Mechanics7.6

Opening Duels5.5

Win Impact3.3

Composite 7.1/10 (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 0.01 → last ⅓ avg 0.03

Reaction time572ms−33ms

first ⅓ avg 605ms → last ⅓ avg 572ms

Headshot accuracy29.5%+3.6%

first ⅓ avg 25.8% → last ⅓ avg 29.5%

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

0.26Best rating — inferno 9–4

13–0Biggest win — dust2

6Longest win streak

L3Current streak

7–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 83% over 6trainWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	22	11–11	50%	0.01
dust2	S	18	14–4	78%	0.03
mirage	C	17	7–10	41%	0.01
cache	C	13	5–8	38%	0.01
anubis	S	12	8–4	67%	0.03
train	D	7	1–6	14%	0.05
inferno	S	6	5–1	83%	0.05
nuke	—	3	2–1	67%	0.02
overpass	—	2	2–0	100%	0.01

Across the last 100 tracked matches.

Lifetime stats

209,475Lifetime kills

1.16K/D · Top 50% of Level 10 players

8,084Matches

46.8%Match win rate

58.3%Headshot % · Top 50% of Level 10 players

13.3%Shot accuracy

24,764MVPs

3,506Hours (in match)

6,352Bombs planted

2,192Bombs defused

Most-used weapons

AK-4788,724

AWP27,265

M4A4 / M4A1-S27,118

Desert Eagle15,738

P2000 / USP-S12,407

Glock-185,130

SSG 083,741

P2503,284

FAMAS3,065

Galil AR2,763

Lifetime map wins

10,658dust2

4,655nuke

4,431inferno

3,952train

2,404cbble

877vertigo

82office

81aztec

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

Faceit stats

Combat

2,127Matches

51%Win rate

1.09Avg K/D

80.1ADR

54%Headshot %

Clutches & streaks

39%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	233	56%	1.09	16.2
Ancient	209	51%	1.12	16.5
Anubis	184	56%	1.03	15.5
Dust2	173	47%	1.01	16.0
Nuke	82	61%	1.08	15.6
Train	30	43%	0.99	15.7
Cache	30	40%	1.09	16.5
Inferno	28	46%	0.98	15.3

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.

29.4%Headshot accuracy

35.3%Accuracy (enemy spotted)

38.2%Spray accuracy

84.1%Counter-strafing

7.9°Preaim

568msReaction time

40.2%T opening success

63.6%CT opening success

0.50Enemies flashed / flash

7.3%Flash assists

10.22HE damage / grenade

9.25Flashes / 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 0.4968 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Train

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 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	8–13	-0.06	23%	26 Aug →
train	10–13	0.12	25%	24 Aug →
ancient	8–13	0.01	23%	23 Aug →
dust2	13–3	0.14	39%	23 Aug →
anubis	11–13	0.05	38%	12 Aug →
anubis	2–13	0.09	25%	11 Aug →
cache	7–13	-0.03	25%	11 Aug →
overpass	13–9	0.01	29%	9 Aug →
mirage	3–13	-0.07	24%	7 Aug →
dust2	13–4	0.04	35%	6 Aug →
train	10–13	0.08	24%	6 Aug →
cache	13–11	0.11	28%	6 Aug →
ancient	11–13	0.00	33%	5 Aug →
anubis	13–5	0.09	29%	5 Aug →
cache	10–13	-0.04	33%	5 Aug →
cache	7–13	-0.00	34%	3 Aug →
cache	13–10	0.10	36%	30 Jul →
inferno	9–5	0.16	35%	29 Jul →
cache	8–13	0.05	30%	29 Jul →
cache	13–6	0.04	43%	27 Jul →
cache	7–13	-0.04	29%	27 Jul →
train	12–12	0.01	33%	27 Jul →
train	11–13	0.08	42%	27 Jul →
cache	13–7	0.11	30%	23 Jul →
anubis	16–14	-0.05	21%	23 Jul →
inferno	13–2	0.05	37%	23 Jul →
anubis	13–5	0.01	21%	23 Jul →
dust2	13–0	0.04	50%	23 Jul →
inferno	7–9	-0.08	27%	22 Jul →
mirage	6–13	-0.03	17%	22 Jul →
mirage	13–9	0.02	21%	21 Jul →
ancient	11–13	-0.04	18%	19 Jul →
ancient	14–16	-0.04	16%	18 Jul →
mirage	0–13	0.04	47%	18 Jul →
mirage	13–9	0.03	33%	18 Jul →
ancient	13–9	0.00	24%	17 Jul →
cache	3–13	-0.05	28%	16 Jul →
anubis	13–5	0.01	31%	16 Jul →
dust2	13–6	0.14	36%	16 Jul →
mirage	13–8	0.14	36%	16 Jul →
anubis	13–11	0.00	21%	15 Jul →
mirage	8–13	0.01	23%	15 Jul →
dust2	10–6	-0.03	53%	15 Jul →
nuke	13–1	0.03	34%	15 Jul →
inferno	13–3	-0.03	24%	14 Jul →
ancient	13–9	0.05	33%	14 Jul →
dust2	13–6	0.03	34%	13 Jul →
anubis	13–11	0.05	16%	12 Jul →
dust2	3–13	-0.00	53%	12 Jul →
dust2	13–3	0.04	41%	12 Jul →
dust2	13–7	0.07	30%	12 Jul →
mirage	13–11	-0.01	22%	12 Jul →
dust2	5–13	0.10	29%	12 Jul →
mirage	13–10	0.05	29%	12 Jul →
nuke	9–13	0.01	16%	11 Jul →
dust2	13–10	0.04	37%	11 Jul →
ancient	16–13	0.03	19%	11 Jul →
mirage	8–13	0.01	14%	11 Jul →
ancient	13–10	-0.06	27%	11 Jul →
mirage	1–13	-0.05	14%	10 Jul →
mirage	5–13	-0.05	33%	10 Jul →
anubis	13–3	0.07	31%	10 Jul →
inferno	13–10	-0.05	26%	10 Jul →
ancient	13–7	0.06	45%	10 Jul →
dust2	13–7	0.05	24%	9 Jul →
mirage	6–13	0.05	21%	8 Jul →
ancient	8–13	0.11	26%	8 Jul →
ancient	13–10	0.01	17%	8 Jul →
ancient	12–12	0.03	38%	7 Jul →
overpass	13–2	0.01	41%	5 Jul →
train	5–13	-0.09	33%	5 Jul →
nuke	13–11	0.03	28%	5 Jul →
mirage	13–5	-0.01	22%	5 Jul →
ancient	13–6	0.04	24%	5 Jul →
dust2	13–10	0.07	26%	4 Jul →
anubis	13–9	0.04	22%	4 Jul →
ancient	11–13	0.04	30%	4 Jul →
mirage	13–6	0.07	20%	4 Jul →
mirage	12–12	0.02	29%	4 Jul →
ancient	11–13	0.03	20%	4 Jul →
ancient	13–3	0.07	23%	3 Jul →
ancient	13–6	0.05	27%	3 Jul →
dust2	5–0	-0.09	0%	3 Jul →
ancient	12–12	-0.06	31%	2 Jul →
cache	4–13	0.00	22%	1 Jul →
ancient	13–11	0.04	29%	29 Jun →
ancient	3–13	-0.02	24%	27 Jun →
train	13–9	0.10	31%	27 Jun →
ancient	6–0	0.04	15%	27 Jun →
anubis	3–13	-0.00	29%	27 Jun →
mirage	6–13	-0.09	67%	26 Jun →
inferno	9–4	0.26	29%	26 Jun →
dust2	8–3	-0.03	12%	26 Jun →
dust2	13–6	0.07	33%	26 Jun →
anubis	2–6	-0.05	13%	22 Jun →
cache	1–9	-0.11	12%	22 Jun →
cache	13–3	0.02	20%	19 Jun →
dust2	10–13	-0.03	26%	19 Jun →
train	12–12	0.05	28%	18 Jun →
ancient	5–13	-0.07	33%	18 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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