toe crumbs — CS2 Stats

76561198133273757[U:1:173008029]Steam profile ↗✓ No bans

638Tracked matches58%Win rate2020Tracked since

CSDB Rating5.4 DevelopingPositional Player

Ladder ranks via Leetify

Performance scores

Aim58

Positioning45

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY52–35–13Last 10052%Win rateWLWTTLWWWW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +4.5pp headshot accuracy · +4ms reaction

Win rate 0pp 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

2–1–2 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 15%
Avg reaction 708ms

Last 10

6–2–2 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 14%
Avg reaction 662ms

Last 20

12–6–2 · 60% win rate
Avg rating -0.04
Avg headshot accuracy 11%
Avg reaction 660ms

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 (+1.5 against its own average).

Aim5.8

Utility4.1

Positioning4.5

Opening Duels0.5

Limited 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 ZywOo 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 654ms 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

Aim5.8

Positioning4.5

Utility4.1

Mechanics8.4

Opening Duels1.5

Win Impact7.6

Composite 5.4/10 (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 rating-0.04−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time648ms−0ms

first ⅓ avg 649ms → last ⅓ avg 648ms

Headshot accuracy11.1%−7.4%

first ⅓ avg 18.5% → last ⅓ avg 11.1%

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

0.13Best match rating · 13–2 · cache, 28 Aug →

50%Best headshot accuracy · 0–13 · anubis, 11 Jun →

445msFastest reaction time · 5–13 · dust2, 27 Aug →

13–1Biggest win · office, 7 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak

5–7In matches decided by ≤2 rounds

Map breakdown

officeBest map · 89% over 9nukeWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	17	9–8	53%	-0.03
dust2	A	16	9–7	56%	-0.02
nuke	D	12	3–9	25%	-0.05
cache	S	12	8–4	67%	-0.03
inferno	C	11	4–7	36%	-0.05
office	S	9	8–1	89%	0.01
anubis	B	8	4–4	50%	-0.03
train	B	8	4–4	50%	-0.04
overpass	—	3	3–0	100%	-0.00
vertigo	—	2	0–2	0%	-0.05
boulder	—	1	0–1	0%	-0.08
warden	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.0%Headshot accuracy

34.7%Accuracy (enemy spotted)

38.6%Spray accuracy

88.0%Counter-strafing

11.1°Preaim

654msReaction time

40.2%T opening success

31.9%CT opening success

0.42Enemies flashed / flash

10.8%Flash assists

9.54HE damage / grenade

3.97Flashes / 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 10.9797% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4198 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 31.9122% — below the 40% mark we flag

Spend your practice time on Nuke

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–9	-0.01	10%	11 Oct →
dust2	11–13	-0.04	20%	8 Oct →
nuke	13–8	-0.01	19%	8 Oct →
mirage	12–12	-0.01	13%	8 Oct →
inferno	12–12	0.03	13%	6 Oct →
mirage	8–13	-0.04	8%	6 Oct →
cache	13–10	-0.05	14%	23 Sept →
inferno	8–2	-0.05	14%	23 Sept →
cache	13–11	-0.06	8%	21 Sept →
office	13–8	-0.01	18%	21 Sept →
dust2	7–13	-0.04	13%	17 Sept →
overpass	13–9	-0.07	7%	16 Sept →
anubis	13–9	-0.05	5%	16 Sept →
mirage	4–13	-0.07	16%	16 Sept →
anubis	13–7	-0.05	8%	16 Sept →
train	3–13	-0.08	9%	5 Sept →
office	13–6	-0.07	2%	5 Sept →
inferno	13–7	-0.05	10%	5 Sept →
office	13–2	0.01	19%	5 Sept →
nuke	6–13	-0.11	3%	5 Sept →
mirage	13–3	-0.07	0%	5 Sept →
cache	13–5	-0.02	14%	29 Aug →
inferno	12–12	-0.06	10%	28 Aug →
cache	13–2	0.13	9%	28 Aug →
nuke	9–13	-0.07	12%	28 Aug →
anubis	2–13	-0.02	8%	27 Aug →
dust2	5–13	-0.11	10%	27 Aug →
cache	2–13	-0.06	10%	27 Aug →
train	12–12	-0.06	12%	27 Aug →
nuke	7–13	-0.03	15%	25 Aug →
dust2	11–13	0.01	20%	25 Aug →
mirage	12–12	-0.04	11%	10 Aug →
dust2	13–11	-0.03	9%	10 Aug →
office	13–1	0.05	18%	7 Aug →
dust2	7–13	-0.03	16%	7 Aug →
dust2	13–3	0.02	18%	7 Aug →
mirage	13–7	0.00	7%	7 Aug →
nuke	2–13	-0.11	9%	6 Aug →
inferno	4–13	-0.10	4%	6 Aug →
dust2	12–12	-0.01	15%	4 Aug →
nuke	12–12	-0.05	17%	4 Aug →
dust2	13–11	-0.06	6%	4 Aug →
mirage	13–7	-0.03	19%	31 Jul →
office	13–2	0.03	18%	30 Jul →
mirage	13–9	-0.00	16%	30 Jul →
dust2	13–7	-0.03	22%	30 Jul →
mirage	13–7	-0.06	6%	29 Jul →
dust2	13–9	0.03	7%	29 Jul →
inferno	13–6	-0.01	15%	29 Jul →
mirage	13–8	-0.01	19%	29 Jul →
inferno	6–13	-0.06	10%	29 Jul →
anubis	13–9	-0.03	12%	27 Jul →
mirage	12–12	0.04	15%	27 Jul →
nuke	12–12	-0.00	10%	27 Jul →
dust2	13–11	-0.01	9%	27 Jul →
nuke	7–13	-0.07	8%	23 Jul →
anubis	13–9	0.00	18%	23 Jul →
overpass	13–8	0.05	15%	23 Jul →
office	13–7	-0.03	20%	18 Jul →
overpass	13–5	0.01	27%	18 Jul →
train	13–9	0.00	34%	18 Jul →
nuke	11–13	-0.02	9%	18 Jul →
cache	13–10	-0.04	22%	18 Jul →
cache	11–13	0.02	16%	16 Jul →
mirage	8–13	-0.10	23%	16 Jul →
nuke	13–9	-0.01	19%	16 Jul →
dust2	13–8	-0.00	17%	16 Jul →
inferno	12–12	-0.07	15%	14 Jul →
train	13–4	-0.03	33%	14 Jul →
office	13–8	-0.02	11%	13 Jul →
boulder	6–13	-0.08	15%	9 Jul →
cache	12–12	-0.02	16%	9 Jul →
mirage	13–1	0.05	17%	2 Jul →
cache	13–6	-0.12	13%	2 Jul →
nuke	13–9	-0.02	19%	29 Jun →
nuke	10–13	-0.05	21%	11 Jun →
anubis	0–13	-0.09	50%	11 Jun →
inferno	12–12	-0.04	6%	11 Jun →
train	9–13	-0.06	11%	9 Jun →
cache	8–13	-0.06	29%	9 Jun →
mirage	10–13	-0.08	9%	9 Jun →
dust2	13–11	-0.06	6%	9 Jun →
train	13–9	-0.04	18%	8 Jun →
mirage	6–13	-0.11	25%	8 Jun →
mirage	13–5	0.02	18%	8 Jun →
office	4–0	0.13	45%	8 Jun →
dust2	11–13	-0.03	14%	7 Jun →
anubis	11–13	0.03	20%	7 Jun →
warden	10–13	0.04	10%	7 Jun →
vertigo	11–13	-0.05	18%	7 Jun →
inferno	0–13	-0.07	3%	5 Jun →
anubis	8–13	-0.00	15%	5 Jun →
vertigo	9–13	-0.06	15%	4 Jun →
cache	13–5	-0.05	21%	4 Jun →
inferno	13–3	-0.10	22%	4 Jun →
train	13–4	0.00	33%	4 Jun →
mirage	13–9	0.02	15%	4 Jun →
cache	13–5	-0.03	17%	2 Jun →
office	12–12	-0.02	20%	2 Jun →
train	7–13	-0.06	13%	2 Jun →