Cheezy | CSFIT — CS2 Stats

US76561198080237475[U:1:119971747]Steam profile ↗✓ No bans

2,482Tracked matches44%Win rate2024Tracked since

3,240Hours in CS82Hrs last 2 wks

CSDB Rating5.6 SolidPositional Player

WingmanMaster Guardian I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

+154Tracked matches · now 2,482

−19.0ppWin rate · 63.0% → 44.0%

Rating over time

17Days played since 2026-09-04

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

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	208	—	—
Win rate	48%	—	—
K/D	1.06	—	—
Headshot %	39%	—	—

Measured 2 Sep 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim57

Positioning61

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY45–43–12Last 10045%Win rateWLLWTWLWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · +0.5pp headshot accuracy · −27ms reaction

Win rate up 30pp 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

2–2–1 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 15%
Avg reaction 677ms

Last 10

6–3–1 · 60% win rate
Avg rating -0.00
Avg headshot accuracy 14%
Avg reaction 617ms

Last 20

9–8–3 · 45% win rate
Avg rating -0.00
Avg headshot accuracy 14%
Avg reaction 631ms

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 (+2.5 against its own average).

Aim5.7

Utility4.9

Positioning6.1

Opening Duels3.3

Clutch0.0

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 jL 82% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 70% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 634ms 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

Aim5.7

Positioning6.1

Utility4.9

Mechanics6.7

Opening Duels6.1

Win Impact3.0

Composite 5.6/10 (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 rating-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time626ms+73ms

first ⅓ avg 553ms → last ⅓ avg 626ms

Headshot accuracy14.4%+1.6%

first ⅓ avg 12.7% → last ⅓ avg 14.4%

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

0.21Best match rating · 13–1 · italy, 23 Sept →

57%Best headshot accuracy · 1–7 · ancient, 19 Sept →

406msFastest reaction time · 13–0 · italy, 20 Sept →

13–0Biggest win · italy, 20 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak

3–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

ancientBest map · 60% over 5cacheWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
office	C	22	9–13	41%	0.02
nuke	B	19	10–9	53%	0.01
vertigo	B	10	5–5	50%	-0.00
cache	D	10	3–7	30%	0.00
overpass	C	9	4–5	44%	0.02
inferno	B	6	3–3	50%	-0.04
ancient	A	5	3–2	60%	0.04
anubis	—	4	0–4	0%	-0.01
italy	—	4	4–0	100%	0.13
train	—	3	1–2	33%	0.00
dust2	—	2	1–1	50%	-0.02
mirage	—	2	0–2	0%	-0.05
boulder	—	2	2–0	100%	0.04
shelter	—	1	0–1	0%	-0.05
fachwerk	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Lifetime stats

53,622Lifetime kills

0.95K/D

4,126Matches

46.1%Match win rate · Top 50% of tracked players

39.6%Headshot %

0.2%Shot accuracy

8,713MVPs

2,016Hours (in match)

3,574Bombs planted

836Bombs defused

Most-used weapons

AK-4718,725

M4A4 / M4A1-S12,087

Desert Eagle3,124

AWP2,891

P2000 / USP-S2,700

Glock-182,138

Galil AR1,809

MP91,731

MAC-101,421

MAG-71,011

Lifetime map wins

6,017nuke

5,480office

4,137vertigo

1,934dust2

1,817inferno

981train

429italy

10ar_shoots

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

Faceit stats

Combat

7Matches

71%Win rate

1.04Avg K/D

82.8ADR

45%Headshot %

Clutches & streaks

0%1v1 clutch win

50%1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	3	33%	1.02	22.3
Mirage	1	100%	0.94	15.0
Nuke	1	100%	0.96	27.0
Vertigo	1	100%	1.15	15.0
Inferno	1	100%	1.14	16.0

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.

14.4%Headshot accuracy

34.5%Accuracy (enemy spotted)

36.7%Spray accuracy

80.1%Counter-strafing

10.9°Preaim

634msReaction time

69.9%T opening success

39.3%CT opening success

0.59Enemies flashed / flash

6.6%Flash assists

9.08HE damage / grenade

6.79Flashes / 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 14.4386% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.3061% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–9	0.07	17%	1 Oct →
dust2	8–13	-0.04	9%	1 Oct →
anubis	2–13	-0.09	21%	1 Oct →
nuke	13–2	0.07	10%	1 Oct →
inferno	12–12	-0.07	16%	1 Oct →
dust2	13–2	0.01	12%	1 Oct →
ancient	5–13	-0.01	15%	1 Oct →
office	13–11	0.08	15%	30 Sept →
vertigo	13–6	-0.07	22%	30 Sept →
nuke	13–2	0.05	7%	30 Sept →
office	11–13	-0.01	23%	30 Sept →
office	12–12	-0.04	15%	29 Sept →
shelter	3–7	-0.05	13%	29 Sept →
train	12–12	0.00	11%	29 Sept →
nuke	13–10	-0.03	16%	29 Sept →
cache	4–13	0.05	24%	29 Sept →
overpass	7–13	-0.06	6%	29 Sept →
overpass	13–1	0.05	8%	29 Sept →
overpass	10–13	-0.07	11%	29 Sept →
overpass	13–3	0.15	11%	29 Sept →
office	12–12	0.05	13%	28 Sept →
nuke	10–13	0.02	15%	28 Sept →
nuke	15–15	0.03	16%	27 Sept →
nuke	7–13	-0.02	18%	27 Sept →
cache	8–13	0.01	7%	25 Sept →
office	13–2	0.09	22%	25 Sept →
nuke	13–11	-0.02	18%	25 Sept →
nuke	3–13	-0.06	3%	24 Sept →
office	7–13	-0.01	15%	24 Sept →
inferno	4–13	-0.08	21%	24 Sept →
vertigo	3–13	-0.07	20%	24 Sept →
office	12–12	-0.05	13%	24 Sept →
mirage	12–16	0.00	11%	24 Sept →
italy	13–1	0.21	14%	23 Sept →
nuke	13–6	0.03	20%	23 Sept →
anubis	10–13	0.06	10%	23 Sept →
cache	1–13	-0.06	18%	23 Sept →
office	11–13	-0.07	26%	23 Sept →
inferno	13–7	-0.01	12%	23 Sept →
nuke	13–6	-0.00	5%	23 Sept →
office	13–3	0.07	24%	23 Sept →
vertigo	5–13	-0.04	18%	23 Sept →
italy	13–4	0.10	10%	23 Sept →
nuke	13–5	0.08	14%	23 Sept →
office	13–1	0.14	12%	23 Sept →
vertigo	13–11	0.04	12%	23 Sept →
cache	13–10	0.06	12%	22 Sept →
office	10–13	-0.01	13%	22 Sept →
vertigo	13–10	0.04	17%	22 Sept →
nuke	8–13	-0.04	18%	22 Sept →
nuke	10–13	-0.01	20%	22 Sept →
nuke	13–3	0.02	15%	22 Sept →
boulder	13–7	0.06	21%	22 Sept →
office	5–13	0.11	14%	22 Sept →
cache	2–13	-0.03	9%	21 Sept →
office	13–10	0.15	15%	21 Sept →
nuke	13–10	0.02	10%	21 Sept →
italy	13–5	0.18	23%	21 Sept →
ancient	13–10	0.11	33%	20 Sept →
cache	11–13	-0.03	4%	20 Sept →
italy	13–0	0.04	6%	20 Sept →
cache	13–6	0.01	7%	20 Sept →
office	13–3	0.08	9%	20 Sept →
ancient	16–13	0.03	18%	19 Sept →
overpass	13–5	0.03	15%	19 Sept →
overpass	13–3	0.05	13%	19 Sept →
office	13–7	0.11	12%	19 Sept →
ancient	1–7	0.02	57%	19 Sept →
vertigo	5–13	-0.11	8%	18 Sept →
office	8–13	-0.02	15%	18 Sept →
nuke	13–9	0.04	8%	18 Sept →
office	13–10	-0.03	13%	18 Sept →
overpass	9–13	0.01	9%	18 Sept →
train	10–13	-0.01	11%	18 Sept →
cache	13–5	-0.02	5%	18 Sept →
nuke	6–13	0.02	10%	18 Sept →
vertigo	7–13	0.03	13%	18 Sept →
inferno	1–13	-0.12	4%	17 Sept →
fachwerk	12–12	0.04	10%	17 Sept →
overpass	12–12	-0.08	13%	17 Sept →
office	12–12	0.04	19%	17 Sept →
anubis	12–12	-0.02	13%	17 Sept →
vertigo	13–6	0.07	17%	17 Sept →
nuke	3–13	-0.04	8%	16 Sept →
inferno	9–4	-0.04	15%	16 Sept →
nuke	11–13	-0.02	8%	16 Sept →
office	1–4	-0.11	0%	16 Sept →
overpass	7–9	0.08	12%	16 Sept →
vertigo	13–8	0.07	16%	16 Sept →
anubis	12–12	0.02	8%	16 Sept →
boulder	13–8	0.02	11%	15 Sept →
mirage	2–13	-0.10	6%	15 Sept →
office	3–13	-0.04	9%	15 Sept →
cache	12–12	0.04	9%	15 Sept →
inferno	13–10	0.10	19%	15 Sept →
office	4–13	-0.01	13%	15 Sept →
vertigo	8–13	-0.00	7%	15 Sept →
train	13–4	0.02	19%	14 Sept →
office	13–3	-0.00	23%	14 Sept →
cache	11–13	-0.02	13%	14 Sept →