cBc | Grasscutter — CS2 Stats

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

177Tracked matches38%Win rate2021Tracked since

1,127Hours in CS12Hrs last 2 wks

CSDB Rating2.9 LearningSupport

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,399), 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%	41.9%	above
Shot accuracy	22.6%	12.6%	12.2%	above
Kill/death ratio	1.06	0.95	0.98	above
Match win rate	33.0%	42.5%	43.3%	10.3% 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

Aim21

Positioning34

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY38–59–3Last 10038%Win rateWWWLLWLLTW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −2.9pp headshot accuracy · −100ms reaction

Win rate up 20pp 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

3–2 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 11%
Avg reaction 627ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 15%
Avg reaction 673ms

Last 20

8–11–1 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 16%
Avg reaction 723ms

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 (+2.5 against its own average).

Aim2.1

Utility5.8

Positioning3.4

Opening Duels0.6

Effective 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 NiKo 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. 1.11 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 741ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim2.1

Positioning3.4

Utility5.8

Mechanics3.3

Opening Duels1.2

Win Impact1.0

Composite 2.9/10 (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+0.00

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time737ms−37ms

first ⅓ avg 774ms → last ⅓ avg 737ms

Headshot accuracy19.1%+0.5%

first ⅓ avg 18.6% → last ⅓ avg 19.1%

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 · 13–1 · dust2, 17 Mar →

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

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

13–1Biggest win · dust2, 17 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W3Current streak

5–9In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 39% over 76cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	76	30–46	39%	-0.04
inferno	C	17	6–11	35%	-0.04
cache	D	5	1–4	20%	-0.07
ancient	—	1	0–1	0%	-0.01
poseidon	—	1	1–0	100%	-0.08

Across the last 100 tracked matches.

Lifetime stats

53,183Lifetime kills

1.06K/D · Top 50% of Level 2 players

2,528Matches

33.0%Match win rate

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

22.6%Shot accuracy · Top 1% of Level 2 players

3,914MVPs

964Hours (in match)

1,379Bombs planted

437Bombs defused

Most-used weapons

SG 55315,431

M4A4 / M4A1-S8,258

AK-476,859

AWP4,186

AUG3,304

P2000 / USP-S2,525

Galil AR2,472

FAMAS1,887

Glock-181,593

Desert Eagle865

Lifetime map wins

7,757dust2

2,292inferno

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.

18.8%Headshot accuracy

27.4%Accuracy (enemy spotted)

25.1%Spray accuracy

64.9%Counter-strafing

11.5°Preaim

741msReaction time

27.9%T opening success

39.2%CT opening success

1.11Enemies flashed / flash

18.7%Flash assists

8.68HE damage / grenade

3.44Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 740.8602ms — above the 700ms 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 3.4358 — below the 4 mark we flag
Grenade Lineups →
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 27.924% — 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.

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

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
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 →
dust2	4–5	-0.04	23%	21 Mar →
dust2	9–13	-0.04	20%	20 Mar →
inferno	11–13	-0.07	15%	20 Mar →
dust2	10–13	-0.04	27%	20 Mar →
inferno	13–2	-0.03	29%	20 Mar →
inferno	2–13	-0.07	17%	19 Mar →
dust2	13–8	-0.04	23%	19 Mar →
dust2	9–13	-0.02	25%	19 Mar →
dust2	13–11	-0.03	26%	17 Mar →
dust2	13–6	-0.04	29%	17 Mar →
dust2	13–1	0.06	31%	17 Mar →
dust2	9–13	-0.08	21%	12 Mar →
dust2	3–13	-0.07	7%	8 Mar →
dust2	13–2	-0.01	22%	8 Mar →
dust2	8–13	-0.03	16%	8 Mar →
dust2	13–9	-0.11	9%	4 Mar →
dust2	5–13	-0.12	12%	4 Mar →
dust2	13–2	0.02	10%	4 Mar →
dust2	13–6	0.00	40%	23 Feb →
dust2	13–8	-0.03	28%	23 Feb →
inferno	11–13	-0.02	13%	4 Feb →
dust2	6–13	-0.09	12%	4 Feb →
dust2	13–5	-0.03	21%	2 Feb →
dust2	13–11	0.03	15%	2 Feb →
poseidon	9–5	-0.08	10%	2 Feb →
inferno	9–4	-0.06	11%	2 Feb →
inferno	13–9	-0.02	23%	27 Jan →
inferno	6–13	-0.04	13%	27 Jan →
dust2	2–13	-0.07	15%	27 Jan →
dust2	10–13	-0.05	7%	26 Jan →
inferno	8–13	-0.10	14%	26 Jan →
dust2	7–13	-0.06	16%	23 Jan →