ABOGARI — CS2 Stats

DZ76561199140141465[U:1:1179875737]Steam profile ↗✓ No bans

1,168Tracked matches34%Win rate2024Tracked since

1,668Hours in CS

CSDB Rating3.9 LearningPositional Player

Premier CS Rating20,068Pink band · top ~8.4% of ranked players (population est.)

FaceitLevel 7 · 841 ELOTop 42.3% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim31

Positioning57

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY37–54–9Last 10037%Win rateLLLWLWLWWL

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · +9.7pp headshot accuracy · −29ms 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

1–4 · 20% win rate
Avg rating 0.00
Avg headshot accuracy 25%
Avg reaction 680ms

Last 10

4–6 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 23%
Avg reaction 648ms

Last 20

7–12–1 · 35% win rate
Avg rating -0.02
Avg headshot accuracy 19%
Avg reaction 663ms

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 (+1.4 against its own average).

Aim3.1

Utility4.7

Positioning5.7

Opening Duels2.5

Clutch4.2

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 ZywOo 62% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 65% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 671ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.1

Positioning5.7

Utility4.7

Mechanics3.0

Opening Duels5.7

Win Impact0.0

Composite 3.9/10 (Learning), 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-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time664ms+74ms

first ⅓ avg 590ms → last ⅓ avg 664ms

Headshot accuracy20.8%−6.0%

first ⅓ avg 26.8% → last ⅓ avg 20.8%

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

0.15Best match rating · 13–7 · anubis, 6 Sept →

100%Best headshot accuracy · 0–13 · dust2, 10 Sept →

250msFastest reaction time · 7–13 · dust2, 7 Sept →

13–1Biggest win · cache, 30 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L3Current streak

3–3In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 50% over 6nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	40	10–30	25%	-0.02
mirage	C	25	11–14	44%	-0.01
inferno	B	17	8–9	47%	-0.01
cache	B	6	3–3	50%	-0.01
nuke	D	5	1–4	20%	-0.02
ancient	—	4	1–3	25%	-0.07
anubis	—	3	3–0	100%	0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,542Lifetime kills

0.70K/D

3,847Matches

40.6%Match win rate

57.8%Headshot %

0.3%Shot accuracy

8,954MVPs

1,668Hours (in match)

2,826Bombs planted

542Bombs defused

Most-used weapons

AK-4725,531

M4A4 / M4A1-S12,395

AWP5,620

Desert Eagle4,857

P2000 / USP-S3,848

Glock-182,222

Galil AR2,126

FAMAS606

MAC-10603

SSG 08595

Lifetime map wins

11,633dust2

6,444inferno

1,545nuke

404train

173vertigo

47office

23ar_shoots

12cbble

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

Faceit stats

Combat

457Matches

50%Win rate

0.92Avg K/D

79.0ADR

56%Headshot %

Clutches & streaks

41%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	149	48%	0.88	15.1
Dust2	115	51%	0.98	15.3
Inferno	57	51%	0.88	13.4
Ancient	44	55%	0.99	15.8
Anubis	40	60%	0.90	15.1
Nuke	28	43%	0.89	14.3
Train	8	38%	0.81	13.5
Cache	8	50%	1.05	19.0

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.

19.5%Headshot accuracy

27.6%Accuracy (enemy spotted)

27.5%Spray accuracy

63.6%Counter-strafing

10.5°Preaim

671msReaction time

65.1%T opening success

40.6%CT opening success

0.67Enemies flashed / flash

10.8%Flash assists

9.25HE damage / grenade

6.93Flashes / match

Recommended for you

Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–16	0.04	26%	25 Oct →
dust2	8–13	0.02	26%	24 Oct →
dust2	3–13	-0.02	14%	24 Oct →
inferno	13–3	0.03	37%	24 Oct →
dust2	7–13	-0.06	25%	23 Oct →
dust2	13–6	0.13	32%	23 Oct →
mirage	1–13	0.02	42%	21 Oct →
dust2	13–10	-0.00	14%	20 Oct →
dust2	13–7	-0.12	8%	20 Oct →
dust2	10–13	0.00	11%	20 Oct →
mirage	7–13	-0.10	10%	20 Oct →
inferno	10–13	-0.02	16%	18 Oct →
dust2	1–13	-0.08	12%	16 Oct →
inferno	13–6	-0.02	9%	16 Oct →
inferno	13–8	0.01	20%	14 Oct →
dust2	7–13	-0.04	16%	14 Oct →
ancient	2–13	-0.13	17%	14 Oct →
mirage	12–12	-0.04	7%	13 Oct →
mirage	6–13	-0.11	15%	13 Oct →
mirage	13–8	0.03	16%	11 Oct →
dust2	13–10	-0.09	19%	10 Oct →
dust2	5–13	-0.02	33%	9 Oct →
ancient	3–13	-0.10	10%	8 Oct →
inferno	3–13	-0.10	15%	6 Oct →
dust2	4–13	-0.01	9%	6 Oct →
inferno	6–13	-0.09	9%	5 Oct →
dust2	13–6	0.01	16%	2 Oct →
dust2	10–13	-0.04	43%	2 Oct →
dust2	3–13	-0.02	31%	2 Oct →
dust2	13–7	0.03	32%	2 Oct →
inferno	13–7	0.12	36%	2 Oct →
inferno	13–6	0.05	33%	1 Oct →
nuke	6–13	-0.01	29%	1 Oct →
dust2	8–13	-0.02	38%	1 Oct →
dust2	9–13	0.02	41%	1 Oct →
mirage	12–12	0.06	31%	1 Oct →
cache	13–1	0.07	15%	30 Sept →
dust2	12–12	0.10	31%	30 Sept →
dust2	10–13	-0.02	29%	27 Sept →
dust2	13–5	0.01	25%	27 Sept →
inferno	8–13	0.01	18%	27 Sept →
cache	12–12	-0.04	17%	26 Sept →
dust2	7–13	-0.07	30%	25 Sept →
mirage	12–12	-0.07	24%	25 Sept →
mirage	8–13	0.06	23%	24 Sept →
dust2	8–13	0.04	28%	24 Sept →
cache	1–13	-0.08	17%	24 Sept →
mirage	13–5	0.00	50%	24 Sept →
inferno	13–6	-0.08	27%	24 Sept →
dust2	12–12	-0.01	18%	23 Sept →
mirage	13–6	0.07	20%	23 Sept →
mirage	10–13	0.01	19%	23 Sept →
inferno	12–12	0.04	24%	23 Sept →
mirage	13–10	0.04	27%	23 Sept →
dust2	5–13	0.01	36%	23 Sept →
mirage	13–7	0.00	42%	23 Sept →
inferno	9–13	-0.07	21%	22 Sept →
dust2	11–13	-0.01	32%	21 Sept →
mirage	13–6	0.01	25%	20 Sept →
mirage	2–13	-0.01	28%	20 Sept →
inferno	3–13	-0.08	24%	19 Sept →
mirage	11–13	0.01	25%	19 Sept →
inferno	15–15	0.03	22%	19 Sept →
mirage	9–13	-0.09	29%	18 Sept →
dust2	10–13	-0.05	16%	17 Sept →
dust2	12–16	-0.03	25%	16 Sept →
nuke	10–13	-0.02	19%	16 Sept →
dust2	15–15	-0.06	33%	16 Sept →
anubis	13–10	-0.01	23%	16 Sept →
dust2	7–13	-0.08	16%	16 Sept →
dust2	8–13	-0.08	28%	14 Sept →
cache	13–5	-0.00	13%	14 Sept →
cache	13–7	-0.10	17%	13 Sept →
ancient	13–4	0.01	28%	13 Sept →
mirage	13–7	0.06	24%	13 Sept →
mirage	2–13	-0.05	17%	13 Sept →
dust2	6–3	-0.01	29%	11 Sept →
dust2	2–11	-0.09	0%	11 Sept →
anubis	13–5	-0.02	26%	10 Sept →
mirage	13–10	-0.04	31%	10 Sept →
inferno	16–13	-0.05	17%	10 Sept →
dust2	8–13	0.05	34%	10 Sept →
dust2	0–13	-0.10	100%	10 Sept →
dust2	13–9	-0.00	15%	10 Sept →
mirage	13–11	0.02	23%	10 Sept →
cache	7–13	0.07	22%	9 Sept →
nuke	13–10	-0.04	27%	9 Sept →
dust2	7–13	-0.04	20%	7 Sept →
dust2	7–13	-0.02	13%	7 Sept →
mirage	13–7	-0.04	12%	7 Sept →
nuke	8–13	-0.05	16%	7 Sept →
dust2	13–11	-0.06	14%	6 Sept →
mirage	5–13	-0.05	40%	6 Sept →
inferno	9–7	0.05	53%	6 Sept →
anubis	13–7	0.15	35%	6 Sept →
ancient	4–13	-0.06	33%	3 Sept →
mirage	13–7	-0.03	34%	3 Sept →
dust2	3–13	-0.02	41%	2 Sept →
mirage	7–13	-0.02	38%	2 Sept →
inferno	11–13	-0.03	14%	2 Sept →