Bing bong — CS2 Stats

76561198254672560[U:1:294406832]

910Tracked matches48%Win rate2025Tracked since

CSDB Rating5.1 DevelopingSupport

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

+91Tracked matches · now 910

−3.7ppWin rate · 51.7% → 48.0%

Rating over time

25Days played since 2026-09-03

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim51

Positioning50

Utility75

0–100 skill scores via Leetify.

Recent form

STEADY42–48–10Last 10042%Win rateWWWWLLWLWL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +0.0pp headshot accuracy · +34ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.04
Avg headshot accuracy 8%
Avg reaction 597ms

Last 10

6–4 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 9%
Avg reaction 584ms

Last 20

8–9–3 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 9%
Avg reaction 567ms

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: Support — Utility contribution stands above the rest of this profile (+3.2 against its own average).

Aim5.1

Utility7.5

Positioning5.0

Opening Duels0.5

Strong CT-side openerEffective flashesHigh utility contribution

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 Twistzz 62% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 570ms 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

Aim5.1

Positioning5.0

Utility7.5

Mechanics5.6

Opening Duels1.8

Win Impact4.3

Composite 5.1/10 (Developing), 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 rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time570ms−75ms

first ⅓ avg 645ms → last ⅓ avg 570ms

Headshot accuracy9.2%−1.3%

first ⅓ avg 10.5% → last ⅓ avg 9.2%

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

0.22Best match rating · 13–2 · dust2, 23 Sept →

22%Best headshot accuracy · 3–13 · nuke, 9 Sept →

461msFastest reaction time · 4–13 · dust2, 24 Sept →

13–1Biggest win · dust2, 21 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W4Current streak

4–5In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 5 maps qualify so far.

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	92	41–51	45%	0.02
mirage	—	4	0–4	0%	-0.02
nuke	—	2	0–2	0%	0.02
inferno	—	1	0–1	0%	0.10
office	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Skill profile

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

9.4%Headshot accuracy

33.0%Accuracy (enemy spotted)

32.7%Spray accuracy

75.1%Counter-strafing

9.5°Preaim

570msReaction time

33.3%T opening success

40.9%CT opening success

0.79Enemies flashed / flash

9.8%Flash assists

12.45HE damage / grenade

13.80Flashes / 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 9.4089% — 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 33.2797% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–3	0.06	6%	17 Oct →
dust2	13–11	0.04	10%	12 Oct →
dust2	13–3	-0.01	0%	12 Oct →
dust2	13–9	0.05	11%	12 Oct →
dust2	4–13	0.05	12%	11 Oct →
dust2	5–13	0.01	11%	11 Oct →
dust2	13–8	0.09	9%	11 Oct →
dust2	5–13	0.02	6%	11 Oct →
dust2	13–11	0.02	16%	11 Oct →
inferno	10–13	0.10	11%	11 Oct →
dust2	13–8	0.08	11%	11 Oct →
mirage	10–13	0.00	1%	11 Oct →
dust2	12–12	-0.00	8%	10 Oct →
dust2	12–12	0.06	9%	10 Oct →
dust2	6–13	-0.05	10%	10 Oct →
dust2	9–13	-0.03	7%	10 Oct →
dust2	13–5	0.03	14%	10 Oct →
dust2	11–13	0.06	11%	10 Oct →
dust2	8–13	-0.01	9%	9 Oct →
dust2	12–12	0.03	11%	9 Oct →
dust2	11–13	0.05	4%	9 Oct →
dust2	13–2	0.04	6%	9 Oct →
dust2	10–13	-0.04	10%	9 Oct →
dust2	13–5	0.08	14%	9 Oct →
dust2	12–12	0.09	7%	8 Oct →
dust2	12–12	0.01	13%	8 Oct →
dust2	3–13	-0.06	4%	7 Oct →
dust2	13–4	0.07	9%	7 Oct →
dust2	10–13	-0.02	18%	7 Oct →
dust2	13–6	0.03	7%	7 Oct →
dust2	7–13	-0.05	10%	6 Oct →
dust2	7–13	-0.04	9%	6 Oct →
dust2	12–12	0.06	8%	6 Oct →
dust2	10–13	0.03	9%	6 Oct →
dust2	12–12	0.04	13%	6 Oct →
dust2	12–12	-0.02	8%	4 Oct →
dust2	13–10	0.01	9%	3 Oct →
dust2	1–10	-0.07	5%	3 Oct →
dust2	7–13	-0.07	6%	3 Oct →
dust2	13–5	0.12	14%	3 Oct →
dust2	13–5	0.05	17%	3 Oct →
dust2	13–11	0.12	14%	2 Oct →
dust2	13–9	-0.02	6%	2 Oct →
dust2	13–9	-0.05	5%	2 Oct →
dust2	13–2	0.06	5%	2 Oct →
dust2	13–8	0.01	6%	2 Oct →
dust2	10–13	0.04	8%	2 Oct →
dust2	13–9	0.05	5%	1 Oct →
dust2	4–13	-0.06	9%	1 Oct →
dust2	7–13	-0.00	6%	1 Oct →
dust2	3–13	-0.07	18%	1 Oct →
dust2	13–8	0.05	12%	1 Oct →
office	13–6	0.01	3%	1 Oct →
dust2	13–5	0.01	10%	1 Oct →
dust2	12–12	0.01	8%	30 Sept →
dust2	13–8	0.01	5%	30 Sept →
dust2	7–13	0.05	9%	30 Sept →
dust2	12–12	-0.01	16%	26 Sept →
dust2	13–3	0.00	7%	26 Sept →
dust2	13–8	0.03	8%	26 Sept →
dust2	9–13	0.02	9%	26 Sept →
dust2	1–13	-0.01	7%	26 Sept →
dust2	8–13	0.01	9%	26 Sept →
mirage	5–11	0.09	3%	26 Sept →
nuke	6–13	0.03	8%	26 Sept →
dust2	5–13	0.04	10%	25 Sept →
dust2	13–4	0.16	14%	25 Sept →
dust2	3–13	0.01	16%	25 Sept →
dust2	4–13	-0.04	11%	24 Sept →
dust2	4–13	-0.03	9%	24 Sept →
dust2	13–9	0.02	9%	24 Sept →
dust2	8–13	0.03	5%	24 Sept →
dust2	13–8	-0.01	15%	24 Sept →
dust2	10–13	0.04	17%	24 Sept →
dust2	13–2	0.22	11%	23 Sept →
dust2	3–13	-0.03	0%	23 Sept →
dust2	11–13	0.11	9%	23 Sept →
dust2	13–8	0.00	8%	23 Sept →
dust2	13–11	-0.01	19%	22 Sept →
dust2	13–9	0.05	13%	22 Sept →
dust2	3–13	-0.10	2%	22 Sept →
dust2	4–13	-0.04	11%	22 Sept →
dust2	4–13	-0.01	17%	21 Sept →
dust2	13–1	-0.00	5%	21 Sept →
dust2	8–13	0.03	19%	21 Sept →
dust2	11–13	-0.07	11%	20 Sept →
dust2	13–9	-0.02	9%	20 Sept →
dust2	13–8	0.02	7%	19 Sept →
dust2	9–13	-0.02	6%	19 Sept →
dust2	13–8	-0.02	11%	18 Sept →
mirage	6–13	-0.08	7%	18 Sept →
mirage	7–13	-0.10	11%	11 Sept →
dust2	13–1	0.02	9%	11 Sept →
dust2	13–8	0.03	8%	11 Sept →
dust2	3–13	-0.07	10%	11 Sept →
dust2	13–8	0.08	6%	10 Sept →
dust2	11–13	0.03	6%	10 Sept →
dust2	13–7	-0.02	14%	10 Sept →
dust2	6–13	0.03	16%	9 Sept →
nuke	3–13	0.00	22%	9 Sept →