IBBES — CS2 Stats

76561198091050816[U:1:130785088]✓ No bans

2,065Tracked matches54%Win rate2020Tracked since

10,672Hours in CS41Hrs last 2 wks

CSDB Rating5.9 SolidHybrid Rifler

FaceitLevel 10 · 2,131 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=3,007), 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	40.0%	52.0%
Shot accuracy	12.4%	13.7%
Kill/death ratio	0.89	1.08
Match win rate	46.8%	48.8%

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Performance scores

Aim69

Positioning63

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateLLTLWLWWWL

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

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

Aim6.9

Aggression9.8

Utility6.5

Positioning6.3

Opening Duels4.1

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 device 94% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Counter-strafing. Only 67% 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

Aim6.9

Positioning6.3

Utility6.5

Mechanics3.7

Opening Duels4.1

Win Impact6.2

Composite 5.9/10 (Solid), 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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time528ms−21ms

first ⅓ avg 549ms → last ⅓ avg 528ms

Headshot accuracy14.3%+0.5%

first ⅓ avg 13.8% → last ⅓ avg 14.3%

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

0.21Best rating — inferno 13–4

13–1Biggest win — office

6Longest win streak

L2Current streak

9–1In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 60% over 10cacheWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	18	10–8	56%	0.05
nuke	C	18	8–10	44%	0.04
anubis	C	17	7–10	41%	0.00
cache	C	13	5–8	38%	0.02
dust2	A	10	6–4	60%	0.01
overpass	A	7	4–3	57%	0.04
ancient	—	4	4–0	100%	0.04
office	—	4	3–1	75%	0.04
train	—	3	3–0	100%	0.03
vertigo	—	3	1–2	33%	0.05
mirage	—	2	1–1	50%	0.02
poseidon	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Lifetime stats

209,098Lifetime kills

0.89K/D

9,256Matches

46.8%Match win rate

40.0%Headshot %

12.4%Shot accuracy

28,765MVPs

5,119Hours (in match)

12,479Bombs planted

3,838Bombs defused

Most-used weapons

AK-4763,593

M4A4 / M4A1-S33,985

AWP24,392

Desert Eagle13,140

P2000 / USP-S11,415

Glock-188,185

Knife5,718

Galil AR4,981

P2504,595

MP94,412

Lifetime map wins

28,021inferno

17,296dust2

7,230nuke

5,512vertigo

2,975train

904office

806lake

759cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.5%Headshot accuracy

37.2%Accuracy (enemy spotted)

42.3%Spray accuracy

66.7%Counter-strafing

10.2°Preaim

514msReaction time

39.1%T opening success

53.8%CT opening success

0.51Enemies flashed / flash

8.5%Flash assists

9.11HE damage / grenade

8.53Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4789% — below the 15% mark we flag
Aim Training →
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 39.1319% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	4–13	0.13	19%	27 Aug →
mirage	8–13	0.01	11%	27 Aug →
inferno	12–12	0.08	13%	27 Aug →
cache	5–13	-0.05	9%	27 Aug →
cache	13–10	0.03	29%	26 Aug →
cache	4–13	0.02	2%	20 Aug →
inferno	13–8	-0.05	30%	20 Aug →
inferno	13–4	0.21	11%	13 Aug →
train	13–7	0.02	7%	12 Aug →
anubis	3–13	-0.03	22%	11 Aug →
nuke	6–13	-0.09	6%	11 Aug →
inferno	13–9	-0.01	12%	10 Aug →
ancient	13–8	0.03	9%	31 Jul →
cache	2–13	-0.02	9%	30 Jul →
office	13–11	0.09	12%	29 Jul →
vertigo	2–6	0.02	44%	29 Jul →
anubis	6–13	-0.00	15%	28 Jul →
nuke	8–8	0.03	7%	27 Jul →
anubis	13–2	-0.05	14%	25 Jul →
cache	4–13	-0.01	17%	23 Jul →
cache	9–13	0.04	18%	20 Jul →
cache	13–11	0.00	22%	20 Jul →
nuke	13–4	0.02	7%	20 Jul →
cache	10–13	0.06	12%	20 Jul →
ancient	13–7	0.02	14%	20 Jul →
anubis	15–15	0.00	15%	19 Jul →
inferno	6–13	0.07	21%	19 Jul →
office	13–1	0.08	10%	19 Jul →
cache	13–7	0.05	9%	19 Jul →
cache	13–10	0.10	19%	6 Jul →
nuke	13–5	0.04	7%	5 Jul →
inferno	12–16	0.09	16%	5 Jul →
cache	13–6	0.10	6%	5 Jul →
nuke	6–13	-0.03	15%	1 Jul →
poseidon	9–6	0.11	16%	1 Jul →
dust2	13–10	0.02	9%	30 Jun →
inferno	13–10	0.16	15%	27 Jun →
mirage	13–6	0.04	15%	27 Jun →
overpass	16–14	0.06	17%	26 Jun →
anubis	8–13	0.00	10%	26 Jun →
dust2	9–13	-0.06	8%	24 Jun →
inferno	5–13	-0.05	15%	24 Jun →
train	13–8	0.01	14%	23 Jun →
anubis	9–13	-0.06	11%	15 Jun →
nuke	6–13	0.05	16%	15 Jun →
nuke	13–9	0.16	14%	15 Jun →
overpass	13–8	0.07	16%	15 Jun →
overpass	14–16	0.06	12%	14 Jun →
nuke	13–8	0.02	15%	14 Jun →
anubis	13–9	-0.02	7%	14 Jun →
anubis	9–13	-0.05	14%	14 Jun →
dust2	16–13	-0.00	10%	14 Jun →
overpass	3–13	-0.04	6%	14 Jun →
office	13–8	0.02	13%	10 Jun →
inferno	2–13	0.05	29%	8 Jun →
overpass	9–13	0.04	23%	7 Jun →
inferno	8–13	0.04	12%	7 Jun →
anubis	9–13	-0.00	19%	4 Jun →
cache	6–13	0.00	11%	4 Jun →
vertigo	13–11	0.00	13%	3 Jun →
nuke	13–10	0.04	11%	1 Jun →
nuke	13–11	0.00	24%	1 Jun →
dust2	10–13	0.02	13%	1 Jun →
inferno	13–10	0.05	8%	31 May →
ancient	13–4	-0.01	15%	31 May →
dust2	16–14	-0.04	9%	31 May →
anubis	13–4	-0.03	9%	31 May →
nuke	13–7	-0.01	13%	31 May →
inferno	6–13	0.00	10%	31 May →
nuke	7–13	0.05	11%	28 May →
dust2	13–8	0.08	14%	28 May →
nuke	8–13	0.07	14%	23 May →
anubis	13–2	0.03	10%	23 May →
inferno	6–13	0.03	13%	21 May →
ancient	13–2	0.14	18%	21 May →
inferno	13–5	-0.02	14%	21 May →
nuke	10–13	0.02	8%	15 May →
inferno	13–4	0.04	16%	15 May →
anubis	5–13	0.03	14%	13 May →
dust2	9–13	0.04	19%	13 May →
anubis	13–9	0.02	9%	12 May →
overpass	16–14	0.01	11%	12 May →
dust2	13–11	0.00	22%	4 May →
overpass	13–11	0.05	16%	4 May →
dust2	13–4	0.02	8%	3 May →
inferno	16–12	0.12	15%	30 Apr →
cache	7–13	-0.03	10%	29 Apr →
office	12–12	-0.02	16%	29 Apr →
train	13–2	0.07	11%	23 Apr →
inferno	16–13	0.07	15%	9 Apr →
inferno	13–5	0.07	20%	9 Apr →
vertigo	12–12	0.11	22%	8 Apr →
nuke	5–13	0.04	14%	6 Apr →
dust2	4–13	0.02	26%	6 Apr →
nuke	10–13	0.13	7%	3 Apr →
nuke	13–7	0.09	17%	3 Apr →
anubis	13–10	0.00	10%	1 Apr →
anubis	7–13	0.02	10%	1 Apr →
nuke	8–13	0.07	14%	20 Mar →
anubis	13–5	0.05	8%	20 Mar →