bonkers — CS2 Stats

PT76561198152711680[U:1:192445952]Steam profile ↗✓ No bans

4,080Tracked matches36%Win rate2022Tracked since

6,463Hours in CS7Hrs last 2 wks

CSDB Rating5.5 SolidSupport

Premier CS Rating20,000Top 50% of 212,133 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#83007 of 259062 tracked

FaceitLevel 7 · 1,486 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,000 +2,178 30 Jun – 6 Oct · 15 days played

Faceit ELO: 1,486 +0 18 Sept – 22 Sept · 2 observations

21,800Peak Premier in tracked matches

1,486Highest Faceit ELO seen on CSDB

28Days played since 2026-06-28

Faceit ELO

At peak — 1,486
Next: Level 8 at 1,531 — 45 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-09-18
Level 6 first seen 2026-09-18

Premier CS Rating

1,440 below peak (21,440)
+3,468 over 30 days · improving
+2,178 over 90 days
Next: Red band at 25,000 — 5,000 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-18
Purple band first seen 2026-09-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 median	Level 8 median	vs Level 8
Headshot rate	37.8%	45.7%	46.8%	9.1% short
Shot accuracy	6.1%	12.7%	13.0%	6.9% short
Kill/death ratio	1.12	1.05	1.06	above
Match win rate	52.0%	45.7%	46.3%	above

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim59

Positioning64

Utility66

0–100 skill scores via Leetify.

Recent form

COLD47–48–5Last 10047%Win rateLTLWWLLLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +2.7pp headshot accuracy · −68ms 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

2–2–1 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 15%
Avg reaction 520ms

Last 10

2–7–1 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 14%
Avg reaction 542ms

Last 20

5–13–2 · 25% win rate
Avg rating -0.02
Avg headshot accuracy 12%
Avg reaction 576ms

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 (+1 against its own average).

Aim5.9

Utility6.6

Positioning6.4

Opening Duels2.9

Clutch6.4

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 iM 73% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 581ms 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

Aim5.9

Positioning6.4

Utility6.6

Mechanics5.7

Opening Duels4.9

Win Impact0.2

Composite 5.5/10 (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-0.02−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time574ms−46ms

first ⅓ avg 621ms → last ⅓ avg 574ms

Headshot accuracy12.9%−2.0%

first ⅓ avg 14.9% → last ⅓ avg 12.9%

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

0.11Best match rating · 13–4 · vertigo, 28 Jun →

31%Best headshot accuracy · 13–4 · anubis, 9 Sept →

375msFastest reaction time · 3–13 · nuke, 27 Sept →

13–2Biggest win · ancient, 12 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

9–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	28	18–10	64%	-0.01
ancient	A	17	10–7	59%	0.00
nuke	D	15	4–11	27%	-0.03
cache	C	11	4–7	36%	-0.03
mirage	D	10	2–8	20%	-0.01
anubis	S	8	6–2	75%	-0.01
inferno	D	8	1–7	13%	-0.04
train	—	2	1–1	50%	-0.01
vertigo	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

183,517Lifetime kills

1.12K/D · Top 50% of Level 7 players

12,820Matches

52.0%Match win rate · Top 10% of Level 7 players

37.8%Headshot %

6.1%Shot accuracy

18,333MVPs

4,004Hours (in match)

10,590Bombs planted

1,325Bombs defused

Most-used weapons

AK-4768,302

M4A4 / M4A1-S39,031

AWP29,011

P2000 / USP-S6,891

Glock-184,466

Desert Eagle4,431

MP94,130

Galil AR4,009

SG 5533,451

MAC-103,416

Lifetime map wins

15,704dust2

10,301inferno

7,493nuke

7,066vertigo

2,625train

2,285office

898italy

547cbble

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

Faceit stats

Combat

234Matches

54%Win rate

1.01Avg K/D

78.2ADR

40%Headshot %

Clutches & streaks

52%1v1 clutch win

23%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	65	57%	1.03	14.9
Anubis	44	55%	1.03	14.8
Ancient	37	68%	1.10	15.1
Dust2	26	50%	0.92	13.3
Vertigo	24	58%	1.19	17.0
Inferno	18	28%	0.83	12.6
Nuke	15	40%	0.85	13.5
Train	2	100%	0.90	14.0

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.

13.3%Headshot accuracy

33.3%Accuracy (enemy spotted)

38.3%Spray accuracy

75.6%Counter-strafing

10.1°Preaim

581msReaction time

56.6%T opening success

42.6%CT opening success

0.69Enemies flashed / flash

5.9%Flash assists

7.46HE damage / grenade

15.09Flashes / 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 13.3375% — below the 15% mark we flag
Aim Training →

Spend your practice time on Inferno

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	1–13	-0.04	26%	6 Oct →
ancient	15–15	-0.03	13%	6 Oct →
cache	4–13	-0.10	7%	5 Oct →
dust2	13–9	0.08	15%	5 Oct →
dust2	13–8	-0.05	14%	5 Oct →
nuke	3–13	-0.08	8%	27 Sept →
dust2	10–13	-0.00	9%	27 Sept →
cache	13–16	-0.05	20%	26 Sept →
dust2	10–13	-0.04	15%	25 Sept →
anubis	10–13	0.02	11%	25 Sept →
inferno	8–13	-0.05	8%	25 Sept →
inferno	10–13	-0.06	9%	23 Sept →
cache	13–4	0.10	12%	23 Sept →
inferno	1–4	-0.12	0%	20 Sept →
ancient	15–15	-0.03	11%	20 Sept →
dust2	13–8	0.03	13%	19 Sept →
dust2	16–13	0.05	13%	19 Sept →
cache	10–13	-0.01	17%	19 Sept →
nuke	6–13	-0.00	17%	19 Sept →
dust2	8–13	-0.04	13%	18 Sept →
ancient	13–4	-0.01	19%	18 Sept →
cache	11–13	-0.08	10%	18 Sept →
dust2	9–13	-0.05	16%	18 Sept →
ancient	13–8	0.00	12%	18 Sept →
anubis	5–13	-0.10	19%	17 Sept →
dust2	13–9	-0.01	15%	17 Sept →
nuke	10–13	-0.01	13%	17 Sept →
cache	13–8	-0.02	17%	16 Sept →
ancient	9–13	0.01	10%	16 Sept →
nuke	13–10	-0.01	12%	16 Sept →
dust2	8–13	-0.03	20%	16 Sept →
dust2	13–6	-0.01	7%	16 Sept →
anubis	13–10	-0.03	6%	14 Sept →
ancient	13–11	0.05	9%	14 Sept →
ancient	13–6	-0.06	9%	14 Sept →
anubis	13–5	0.02	5%	14 Sept →
mirage	5–13	-0.04	22%	14 Sept →
anubis	13–7	-0.01	13%	13 Sept →
ancient	9–13	-0.03	12%	13 Sept →
nuke	12–12	-0.00	12%	13 Sept →
anubis	13–3	0.02	17%	13 Sept →
dust2	13–11	0.01	17%	13 Sept →
dust2	13–3	-0.07	5%	13 Sept →
ancient	13–5	0.05	13%	13 Sept →
dust2	13–3	-0.01	27%	13 Sept →
dust2	9–13	-0.04	21%	13 Sept →
anubis	13–4	0.01	13%	10 Sept →
ancient	13–5	0.03	10%	10 Sept →
nuke	13–7	-0.06	13%	10 Sept →
mirage	10–13	-0.05	17%	10 Sept →
anubis	13–4	0.00	31%	9 Sept →
mirage	3–13	-0.06	16%	9 Sept →
ancient	13–4	0.03	19%	9 Sept →
ancient	11–13	-0.03	17%	9 Sept →
dust2	13–11	0.03	19%	6 Sept →
nuke	5–13	-0.05	17%	6 Sept →
dust2	13–11	0.02	9%	6 Sept →
dust2	13–8	-0.00	20%	6 Sept →
ancient	6–13	-0.02	13%	17 Jul →
cache	9–13	-0.08	6%	17 Jul →
dust2	13–11	0.04	30%	17 Jul →
nuke	5–13	-0.07	10%	17 Jul →
train	13–6	0.02	12%	17 Jul →
inferno	8–13	-0.04	16%	17 Jul →
dust2	8–13	-0.03	13%	17 Jul →
mirage	10–13	0.02	13%	17 Jul →
cache	8–13	-0.08	14%	14 Jul →
cache	13–4	-0.02	13%	14 Jul →
ancient	13–11	0.11	11%	14 Jul →
dust2	11–13	0.02	12%	14 Jul →
inferno	13–5	-0.01	13%	14 Jul →
cache	13–9	0.08	22%	14 Jul →
mirage	11–13	0.07	14%	12 Jul →
inferno	9–13	0.02	15%	12 Jul →
ancient	6–13	-0.04	3%	12 Jul →
nuke	11–13	-0.05	13%	12 Jul →
dust2	13–7	0.04	13%	12 Jul →
ancient	13–2	0.02	18%	12 Jul →
nuke	8–13	-0.00	11%	9 Jul →
mirage	5–13	0.04	18%	9 Jul →
nuke	6–13	-0.08	15%	8 Jul →
dust2	12–12	-0.05	15%	8 Jul →
inferno	8–13	-0.04	16%	7 Jul →
dust2	13–4	-0.07	10%	4 Jul →
cache	11–13	-0.01	17%	3 Jul →
dust2	13–9	-0.03	14%	3 Jul →
dust2	13–11	-0.05	23%	3 Jul →
train	4–13	-0.04	18%	3 Jul →
mirage	9–13	-0.02	28%	3 Jul →
ancient	13–4	-0.01	20%	1 Jul →
nuke	12–12	-0.03	9%	30 Jun →
dust2	6–13	0.01	26%	30 Jun →
mirage	13–11	-0.04	14%	30 Jun →
mirage	13–9	-0.01	6%	30 Jun →
nuke	16–14	0.01	16%	30 Jun →
inferno	7–13	-0.06	18%	29 Jun →
dust2	13–3	0.01	11%	29 Jun →
nuke	13–4	-0.00	11%	29 Jun →
nuke	8–13	-0.06	12%	28 Jun →
vertigo	13–4	0.11	19%	28 Jun →