cBc | Grasscutter — CS2 Stats

76561198021304651[U:1:61038923]Steam profile ↗✓ No bans

209Tracked matches46%Win rate2021Tracked since

1,161Hours in CS9Hrs last 2 wks

CSDB Rating3.5 LearningPositional Player

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

+32Tracked matches · now 209

+8.2ppWin rate · 37.9% → 46.2%

Rating over time

35Days played since 2026-03-21

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 2 median	Level 3 median	vs Level 3
Headshot rate	49.2%	41.3%	41.8%	above
Shot accuracy	22.2%	12.7%	12.2%	above
Kill/death ratio	1.05	0.95	0.98	above
Match win rate	33.1%	42.6%	43.3%	10.2% short

This profile matches the typical Level 3 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim19

Positioning49

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY34–59–7Last 10034%Win rateLWWTLLWWWL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −3.6pp headshot accuracy · −24ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–2–1 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 13%
Avg reaction 736ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.05
Avg headshot accuracy 12%
Avg reaction 670ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 13%
Avg reaction 682ms

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 (+1.1 against its own average).

Aim1.9

Utility4.8

Positioning4.9

Opening Duels1.7

Strong CT-side openerEffective flashesLimited utility dependence

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 55% 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. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 692ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim1.9

Positioning4.9

Utility4.8

Mechanics2.9

Opening Duels4.2

Win Impact3.7

Composite 3.5/10 (Learning), 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 rating-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time688ms−125ms

first ⅓ avg 813ms → last ⅓ avg 688ms

Headshot accuracy13.3%−8.3%

first ⅓ avg 21.6% → last ⅓ avg 13.3%

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.

Personal bests

0.06Best match rating · 11–13 · dust2, 21 Mar →

45%Best headshot accuracy · 11–13 · dust2, 4 Sept →

492msFastest reaction time · 10–13 · cache, 29 Apr →

13–2Biggest win · dust2, 24 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak

3–8In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 36% over 78cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	78	28–50	36%	-0.04
inferno	C	14	5–9	36%	-0.03
cache	D	6	1–5	17%	-0.07
anubis	—	1	0–1	0%	-0.03
ancient	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Lifetime stats

53,865Lifetime kills

1.05K/D · Top 50% of Level 2 players

2,608Matches

33.1%Match win rate

49.2%Headshot % · Top 25% of Level 2 players

22.2%Shot accuracy · Top 1% of Level 2 players

4,014MVPs

982Hours (in match)

1,425Bombs planted

444Bombs defused

Most-used weapons

SG 55315,500

M4A4 / M4A1-S8,381

AK-476,997

AWP4,235

AUG3,320

P2000 / USP-S2,568

Galil AR2,499

FAMAS1,916

Glock-181,643

Desert Eagle875

Lifetime map wins

8,098dust2

2,339inferno

574assault

307vertigo

258train

207lake

174italy

123nuke

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.

13.7%Headshot accuracy

29.9%Accuracy (enemy spotted)

27.7%Spray accuracy

63.2%Counter-strafing

13.0°Preaim

692msReaction time

45.2%T opening success

48.2%CT opening success

0.82Enemies flashed / flash

11.2%Flash assists

6.96HE damage / grenade

3.01Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.0152° — above the 12° mark we flag
Aim Training →
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 13.704% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.0116 — below the 4 mark we flag
Grenade Lineups →

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	-0.05	14%	24 Oct →
dust2	13–2	-0.00	11%	24 Oct →
dust2	13–9	-0.06	6%	24 Oct →
dust2	12–12	-0.08	11%	14 Oct →
anubis	3–10	-0.03	25%	12 Oct →
cache	7–13	-0.08	3%	12 Oct →
dust2	13–3	-0.09	9%	12 Oct →
dust2	13–3	0.00	11%	12 Oct →
dust2	13–9	-0.05	12%	12 Oct →
dust2	8–13	-0.07	15%	11 Oct →
dust2	10–13	-0.05	17%	6 Oct →
inferno	9–13	-0.06	0%	6 Oct →
dust2	7–13	-0.06	8%	6 Oct →
inferno	13–10	-0.05	22%	6 Oct →
dust2	13–5	0.02	15%	6 Oct →
dust2	8–13	-0.07	20%	5 Oct →
dust2	6–13	-0.10	27%	5 Oct →
inferno	12–12	0.01	9%	1 Oct →
dust2	13–7	0.01	24%	1 Oct →
dust2	9–13	0.02	10%	1 Oct →
inferno	13–10	-0.04	13%	26 Sept →
dust2	13–3	0.05	13%	26 Sept →
dust2	12–12	-0.10	15%	26 Sept →
dust2	7–13	-0.05	22%	26 Sept →
dust2	13–11	-0.06	6%	24 Sept →
dust2	12–12	-0.05	14%	24 Sept →
dust2	12–4	-0.03	6%	24 Sept →
dust2	8–13	-0.05	13%	21 Sept →
dust2	8–13	-0.02	32%	21 Sept →
inferno	1–13	-0.12	11%	19 Sept →
dust2	6–13	-0.02	19%	19 Sept →
dust2	10–13	-0.08	7%	19 Sept →
dust2	13–9	-0.06	0%	16 Sept →
dust2	13–6	-0.03	3%	10 Sept →
inferno	13–9	-0.01	17%	10 Sept →
inferno	3–13	-0.00	20%	9 Sept →
inferno	11–13	-0.00	14%	9 Sept →
dust2	13–8	-0.01	20%	9 Sept →
ancient	6–13	-0.01	28%	9 Sept →
dust2	2–13	-0.06	13%	9 Sept →
dust2	12–12	-0.03	17%	8 Sept →
dust2	10–1	-0.02	19%	8 Sept →
dust2	6–13	-0.04	19%	7 Sept →
dust2	10–13	-0.04	10%	5 Sept →
dust2	13–8	-0.07	6%	5 Sept →
dust2	9–13	-0.09	6%	5 Sept →
dust2	11–13	-0.07	16%	4 Sept →
dust2	13–9	-0.03	2%	4 Sept →
dust2	11–13	-0.07	45%	4 Sept →
dust2	13–9	-0.03	31%	14 Jul →
dust2	7–13	-0.03	28%	14 Jul →
dust2	6–13	-0.06	15%	8 Jun →
dust2	13–4	0.01	15%	8 Jun →
inferno	10–13	-0.04	20%	8 Jun →
dust2	10–13	-0.07	25%	8 Jun →
dust2	7–13	-0.09	14%	8 Jun →
dust2	11–13	-0.06	25%	31 May →
inferno	9–7	-0.09	33%	31 May →
dust2	10–13	-0.07	23%	30 May →
dust2	13–7	-0.02	24%	30 May →
dust2	13–9	0.02	41%	30 May →
dust2	5–13	-0.05	16%	30 May →
dust2	10–13	-0.08	31%	21 May →
dust2	13–6	-0.05	20%	21 May →
dust2	13–11	-0.01	14%	18 May →
dust2	13–3	0.06	23%	18 May →
dust2	3–13	-0.03	32%	15 May →
dust2	1–13	-0.06	14%	15 May →
dust2	10–13	-0.00	23%	15 May →
dust2	4–13	-0.01	15%	15 May →
dust2	13–5	-0.04	32%	4 May →
dust2	5–13	-0.08	9%	4 May →
cache	1–13	-0.07	26%	4 May →
cache	6–13	-0.04	11%	4 May →
cache	5–13	-0.08	24%	30 Apr →
cache	10–13	-0.11	33%	29 Apr →
cache	13–10	-0.04	20%	29 Apr →
inferno	10–13	0.00	32%	27 Apr →
dust2	9–13	-0.06	24%	27 Apr →
inferno	4–13	-0.08	14%	24 Apr →
inferno	13–10	-0.02	28%	24 Apr →
dust2	11–13	-0.07	16%	24 Apr →
dust2	12–12	-0.05	25%	24 Apr →
dust2	2–13	-0.05	30%	24 Apr →
dust2	10–13	-0.07	21%	24 Apr →
dust2	13–8	-0.07	30%	22 Apr →
dust2	8–13	-0.03	32%	22 Apr →
dust2	9–13	-0.03	16%	11 Apr →
dust2	11–13	-0.04	17%	30 Mar →
dust2	12–12	0.01	25%	30 Mar →
dust2	8–13	-0.05	12%	30 Mar →
dust2	13–6	0.06	26%	30 Mar →
dust2	13–3	-0.01	28%	23 Mar →
dust2	13–6	0.00	17%	23 Mar →
dust2	4–13	-0.03	17%	23 Mar →
dust2	9–13	-0.01	15%	23 Mar →
dust2	7–13	-0.00	28%	21 Mar →
dust2	11–13	0.06	26%	21 Mar →
dust2	9–13	-0.03	13%	21 Mar →
inferno	6–13	0.02	16%	21 Mar →