Oatmeal — CS2 Stats

US76561198950429185[U:1:990163457]Steam profile ↗✓ No bans

101Tracked matches46%Win rate2024Tracked since

CSDB Rating5.0 DevelopingPositional Player

Ladder ranks via Leetify

Performance scores

Aim54

Positioning55

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY43–43–14Last 10043%Win rateWLLLLWLWWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +4.6pp headshot accuracy · +12ms 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

1–4 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 23%
Avg reaction 625ms

Last 10

5–5 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 19%
Avg reaction 651ms

Last 20

9–9–2 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 17%
Avg reaction 645ms

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 (+0.9 against its own average).

Aim5.4

Utility4.9

Positioning5.5

Opening Duels3.4

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 donk 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 660ms 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

Aim5.4

Positioning5.5

Utility4.9

Mechanics6.5

Opening Duels2.1

Win Impact3.8

Composite 5.0/10 (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 rating0.02−0.06

first ⅓ avg 0.08 → last ⅓ avg 0.02

Reaction time660ms+41ms

first ⅓ avg 619ms → last ⅓ avg 660ms

Headshot accuracy16.9%−7.2%

first ⅓ avg 24.2% → last ⅓ avg 16.9%

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

0.41Best match rating · 9–0 · overpass, 12 Apr →

57%Best headshot accuracy · 4–9 · inferno, 23 Apr →

266msFastest reaction time · 1–9 · inferno, 10 Apr →

13–2Biggest win · mirage, 18 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak

4–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

vertigoBest map · 86% over 7mirageWeakest map · 25% over 16

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	17	6–11	35%	0.04
mirage	D	16	4–12	25%	0.01
inferno	D	16	5–11	31%	0.02
dust2	A	14	8–6	57%	0.02
cache	B	13	7–6	54%	0.03
overpass	C	8	3–5	38%	0.05
vertigo	S	7	6–1	86%	0.19
ancient	—	4	2–2	50%	0.04
anubis	—	3	2–1	67%	0.04
brewery	—	1	0–1	0%	-0.05
palais	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 16). Start with the 5 essential Mirage 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.

16.7%Headshot accuracy

31.5%Accuracy (enemy spotted)

33.8%Spray accuracy

79.1%Counter-strafing

9.7°Preaim

660msReaction time

33.2%T opening success

43.6%CT opening success

0.60Enemies flashed / flash

8.7%Flash assists

10.37HE damage / grenade

6.22Flashes / 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
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 33.2189% — below the 40% mark we flag

Spend your practice time on Mirage

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 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–2	0.02	22%	18 Jul →
cache	3–13	-0.01	23%	18 Jul →
inferno	8–13	0.02	20%	15 Jul →
inferno	6–13	0.03	30%	14 Jul →
mirage	7–13	-0.02	22%	14 Jul →
cache	13–11	0.03	18%	14 Jul →
dust2	6–13	-0.03	14%	13 Jul →
cache	13–6	-0.00	9%	13 Jul →
ancient	13–2	0.07	13%	13 Jul →
dust2	13–10	0.04	18%	12 Jul →
mirage	12–12	-0.01	12%	11 Jul →
inferno	10–13	0.02	5%	11 Jul →
ancient	12–12	0.02	8%	11 Jul →
mirage	4–13	0.00	22%	10 Jul →
dust2	4–13	-0.06	15%	9 Jul →
cache	10–13	0.01	15%	9 Jul →
anubis	13–3	0.07	16%	8 Jul →
cache	13–6	0.01	12%	8 Jul →
dust2	13–3	0.03	19%	8 Jul →
dust2	13–3	0.06	18%	5 Jul →
cache	5–13	0.02	21%	5 Jul →
mirage	10–13	-0.02	13%	4 Jul →
anubis	8–13	0.00	15%	4 Jul →
cache	13–9	0.13	17%	3 Jul →
mirage	9–13	0.01	21%	3 Jul →
dust2	7–13	-0.05	16%	2 Jul →
mirage	7–13	0.02	24%	2 Jul →
mirage	13–4	0.04	12%	30 Jun →
dust2	13–6	0.05	22%	30 Jun →
cache	13–2	0.06	17%	29 Jun →
mirage	12–12	0.04	17%	29 Jun →
nuke	13–11	0.00	17%	20 Jun →
dust2	13–5	0.05	14%	19 Jun →
cache	13–10	0.05	13%	19 Jun →
mirage	11–13	-0.04	22%	15 Jun →
cache	13–5	0.05	11%	12 Jun →
dust2	13–5	-0.01	20%	12 Jun →
mirage	9–13	0.01	15%	11 Jun →
cache	11–13	0.04	12%	11 Jun →
dust2	13–8	0.07	13%	9 Jun →
dust2	13–9	0.05	21%	9 Jun →
cache	11–13	0.03	12%	5 Jun →
dust2	12–12	0.04	12%	5 Jun →
ancient	13–10	0.00	16%	31 May →
overpass	13–3	0.03	9%	31 May →
cache	1–13	-0.05	35%	30 May →
mirage	8–13	0.00	11%	29 May →
nuke	6–13	-0.04	22%	29 May →
dust2	11–13	0.00	23%	28 May →
inferno	9–13	0.05	18%	28 May →
mirage	13–3	0.09	23%	27 May →
dust2	8–13	0.02	40%	26 May →
mirage	1–13	-0.05	18%	26 May →
mirage	13–2	0.13	27%	26 May →
ancient	14–16	0.06	19%	15 Feb →
brewery	3–9	-0.05	7%	24 May →
palais	6–9	0.02	23%	13 Apr →
anubis	13–5	0.04	16%	12 Apr →
nuke	8–8	-0.01	15%	12 Apr →
inferno	13–8	0.15	14%	24 Jul →
nuke	12–12	0.11	13%	24 Jul →
inferno	2–9	-0.15	32%	4 May →
nuke	8–8	-0.05	28%	1 May →
inferno	5–9	-0.06	25%	1 May →
inferno	13–9	0.04	21%	28 Apr →
inferno	11–13	0.01	16%	26 Apr →
overpass	12–12	0.04	23%	23 Apr →
inferno	4–9	-0.00	57%	23 Apr →
overpass	2–9	-0.11	24%	23 Apr →
vertigo	9–1	0.17	18%	21 Apr →
nuke	6–13	0.03	31%	17 Apr →
vertigo	9–1	0.14	0%	17 Apr →
overpass	12–12	-0.05	26%	17 Apr →
vertigo	9–7	0.07	24%	16 Apr →
nuke	13–5	0.07	36%	16 Apr →
mirage	12–12	0.02	23%	16 Apr →
nuke	13–10	0.06	14%	15 Apr →
overpass	4–9	-0.09	14%	14 Apr →
nuke	5–9	-0.02	18%	14 Apr →
inferno	12–12	-0.02	21%	13 Apr →
nuke	2–13	-0.07	17%	13 Apr →
inferno	13–10	0.15	28%	13 Apr →
overpass	8–8	0.10	25%	13 Apr →
inferno	5–9	-0.07	8%	13 Apr →
vertigo	9–2	0.27	10%	13 Apr →
nuke	9–13	0.11	19%	13 Apr →
nuke	13–10	0.11	16%	12 Apr →
vertigo	8–8	0.07	23%	12 Apr →
inferno	9–1	0.24	36%	12 Apr →
overpass	9–0	0.41	22%	12 Apr →
nuke	9–2	0.14	21%	12 Apr →
nuke	8–8	0.03	37%	12 Apr →
inferno	9–5	0.13	42%	11 Apr →
overpass	9–7	0.10	27%	11 Apr →
nuke	8–13	0.04	17%	11 Apr →
vertigo	9–0	0.36	26%	11 Apr →
nuke	13–2	0.15	12%	11 Apr →
inferno	1–9	-0.16	50%	10 Apr →
vertigo	9–3	0.24	30%	9 Apr →
nuke	5–13	0.00	23%	8 Apr →