Woutie — CS2 Stats

76561198157844520[U:1:197578792]

3,596Tracked matches50%Win rate2020Tracked since

CSDB Rating6.8 SolidAggressive Rifler

FaceitLevel 10 · 3,001 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim94

Positioning59

Utility30

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateWWLLLLLWWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.4

Aggression8.6

Utility3.0

Positioning5.9

Opening Duels3.4

Clutch3.0

Sharp aimerLimited 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.

Your pro match

Plays most like b1t 91% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.4

Positioning5.9

Utility3.0

Mechanics7.8

Opening Duels3.4

Win Impact5.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time501ms−20ms

first ⅓ avg 520ms → last ⅓ avg 501ms

Headshot accuracy22.0%−2.2%

first ⅓ avg 24.2% → last ⅓ avg 22.0%

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.

Highlights

0.19Best rating — mirage 13–4

13–2Biggest win — anubis

6Longest win streak

W2Current streak

10–16In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 83% over 12infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	20	10–10	50%	0.02
ancient	C	17	6–11	35%	-0.01
dust2	C	14	5–9	36%	-0.00
anubis	A	14	8–6	57%	-0.00
cache	S	13	10–3	77%	0.03
nuke	S	12	10–2	83%	0.02
inferno	D	7	2–5	29%	0.01
overpass	—	3	1–2	33%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8,536Matches

51%Win rate

1.15Avg K/D

82.0ADR

42%Headshot %

Clutches & streaks

35%1v1 clutch win

20%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	571	49%	1.06	16.1
Anubis	440	50%	1.08	16.6
Ancient	394	53%	1.07	16.2
Dust2	368	46%	1.04	16.4
Nuke	228	54%	1.14	16.9
Inferno	174	51%	1.08	16.9
Overpass	115	58%	1.15	16.5
Vertigo	76	50%	1.01	17.2

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.

22.1%Headshot accuracy

38.9%Accuracy (enemy spotted)

44.5%Spray accuracy

85.2%Counter-strafing

7.1°Preaim

490msReaction time

39.5%T opening success

47.4%CT opening success

0.40Enemies flashed / flash

3.3%Flash assists

6.76HE damage / grenade

3.23Flashes / 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.

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 0.402 — below the 0.5 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 39.4758% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	-0.00	43%	26 Aug →
nuke	13–9	-0.01	26%	25 Aug →
ancient	10–13	0.01	11%	25 Aug →
mirage	6–13	-0.01	15%	21 Aug →
anubis	10–13	-0.03	21%	21 Aug →
mirage	10–13	0.00	32%	21 Aug →
cache	7–13	-0.03	29%	20 Aug →
inferno	13–11	-0.03	18%	20 Aug →
anubis	13–2	0.05	25%	20 Aug →
cache	13–10	0.14	16%	19 Aug →
cache	13–4	0.04	19%	19 Aug →
inferno	14–16	0.00	27%	19 Aug →
cache	13–5	0.09	20%	18 Aug →
anubis	9–13	-0.07	14%	18 Aug →
mirage	9–13	-0.01	19%	16 Aug →
anubis	13–11	0.02	18%	16 Aug →
cache	11–13	-0.02	26%	16 Aug →
inferno	7–13	-0.02	18%	16 Aug →
cache	13–6	0.02	24%	15 Aug →
mirage	11–13	0.00	19%	15 Aug →
ancient	13–8	0.06	26%	15 Aug →
cache	13–5	0.09	32%	15 Aug →
nuke	13–8	-0.01	27%	6 Aug →
dust2	13–5	-0.03	22%	5 Aug →
ancient	13–11	-0.02	16%	31 Jul →
nuke	13–9	0.00	11%	31 Jul →
mirage	13–16	0.10	26%	31 Jul →
dust2	11–13	0.02	17%	10 Jul →
dust2	5–13	0.02	26%	9 Jul →
inferno	7–13	0.02	21%	8 Jul →
inferno	9–13	0.03	23%	26 Jun →
anubis	13–6	0.05	22%	23 Jun →
mirage	10–13	-0.01	13%	18 Jun →
nuke	13–11	0.06	26%	5 Jun →
mirage	10–13	0.01	20%	5 Jun →
mirage	17–19	0.03	29%	30 May →
dust2	11–13	-0.05	22%	28 May →
mirage	13–5	-0.05	9%	25 May →
ancient	9–13	-0.02	20%	25 May →
cache	13–11	0.02	24%	25 May →
ancient	13–5	0.04	17%	25 May →
mirage	13–8	-0.05	19%	25 May →
mirage	13–5	0.04	32%	22 May →
anubis	13–10	-0.02	17%	17 May →
ancient	10–13	0.02	24%	16 May →
cache	13–5	0.08	18%	11 May →
cache	13–10	0.02	24%	11 May →
inferno	13–7	0.06	33%	11 May →
inferno	17–19	0.00	24%	26 Apr →
cache	17–19	-0.01	22%	25 Apr →
cache	13–11	-0.00	20%	25 Apr →
nuke	13–4	0.02	39%	24 Apr →
anubis	13–11	0.05	13%	24 Apr →
anubis	20–22	-0.05	22%	23 Apr →
mirage	13–11	0.02	43%	23 Apr →
overpass	10–13	0.06	15%	22 Apr →
cache	13–8	-0.05	9%	22 Apr →
ancient	4–13	-0.06	23%	22 Apr →
ancient	13–7	-0.04	19%	21 Apr →
dust2	9–13	-0.02	27%	21 Apr →
overpass	4–13	-0.12	8%	21 Apr →
mirage	13–4	0.19	28%	15 Apr →
dust2	8–13	-0.00	24%	14 Apr →
anubis	13–2	-0.01	67%	11 Apr →
mirage	13–3	0.09	22%	10 Apr →
ancient	11–13	-0.02	31%	9 Apr →
nuke	7–13	-0.05	14%	9 Apr →
ancient	3–13	-0.08	18%	9 Apr →
nuke	13–10	0.15	25%	9 Apr →
ancient	16–13	0.02	20%	7 Apr →
anubis	16–14	-0.06	24%	6 Apr →
dust2	6–13	0.04	23%	6 Apr →
overpass	13–10	0.03	21%	6 Apr →
anubis	8–13	-0.05	22%	5 Apr →
ancient	7–13	-0.02	25%	2 Apr →
mirage	13–9	-0.06	35%	2 Apr →
nuke	11–13	-0.01	25%	27 Mar →
ancient	13–16	0.01	21%	26 Mar →
dust2	10–13	0.00	33%	24 Mar →
nuke	13–5	0.01	17%	24 Mar →
ancient	11–13	-0.01	32%	23 Mar →
mirage	8–13	0.02	29%	22 Mar →
nuke	13–10	0.02	33%	22 Mar →
nuke	13–6	0.07	27%	21 Mar →
mirage	13–4	0.00	30%	19 Mar →
mirage	19–15	0.02	18%	16 Mar →
dust2	11–13	0.01	16%	15 Mar →
nuke	13–10	0.01	23%	15 Mar →
ancient	16–13	0.01	27%	15 Mar →
mirage	13–5	0.10	27%	14 Mar →
dust2	13–2	0.05	22%	14 Mar →
anubis	13–6	0.04	36%	14 Mar →
dust2	16–13	-0.03	27%	11 Mar →
ancient	3–13	-0.09	16%	11 Mar →
dust2	4–13	-0.04	23%	11 Mar →
mirage	11–13	0.01	18%	11 Mar →
anubis	9–13	-0.01	25%	11 Mar →
dust2	16–14	0.00	14%	10 Mar →
anubis	11–13	0.03	22%	10 Mar →
ancient	11–13	-0.07	25%	10 Mar →