word.exe — CS2 Stats

HM76561198294006742[U:1:333741014]Steam profile ↗✓ No bans

2,328Tracked matches48%Win rate2022Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating26,060Top 25% of 819 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)

CSDB Leaderboard#1971 of 20713 tracked

FaceitLevel 10 · 2,237 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning48

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY48–44–8Last 10048%Win rateLWLWTLWLLW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim8.7

Aggression7.6

Utility6.8

Positioning4.8

Opening Duels2.2

Clutch4.2

Sharp aimerEffective flashes

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 Twistzz 92% playstyle similarity

Most alike: opening-duel success, 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 87 — the mechanical foundation is a clear strength.

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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

Aim8.7

Positioning4.8

Utility6.8

Mechanics7.3

Opening Duels2.2

Win Impact4.4

Composite 6.7/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time516ms−8ms

first ⅓ avg 523ms → last ⅓ avg 516ms

Headshot accuracy26.1%+2.0%

first ⅓ avg 24.1% → last ⅓ avg 26.1%

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.

Highlights

0.21Best rating — dust2 13–5

13–0Biggest win — cache

7Longest win streak

6–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 50% over 12ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	59	29–30	49%	0.03
cache	B	12	6–6	50%	-0.01
mirage	C	8	3–5	38%	0.00
ancient	D	6	1–5	17%	-0.02
vertigo	—	2	1–1	50%	-0.02
nuke	—	2	2–0	100%	0.02
shelter	—	2	1–1	50%	0.03
anubis	—	2	1–1	50%	0.01
boulder	—	2	1–1	50%	0.11
italy	—	1	0–1	0%	0.03
office	—	1	1–0	100%	-0.03
train	—	1	1–0	100%	0.04
fachwerk	—	1	0–1	0%	0.04
inferno	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

491Matches

54%Win rate

1.24Avg K/D

77.9ADR

49%Headshot %

Clutches & streaks

41%1v1 clutch win

19%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	70	56%	1.16	16.1
Ancient	61	54%	1.12	16.1
Dust2	58	67%	1.29	16.2
Anubis	54	41%	1.04	15.7
Inferno	36	67%	1.32	16.1
Overpass	12	33%	1.02	16.6
Nuke	11	82%	1.85	17.4
Vertigo	6	17%	1.00	15.5

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.

24.3%Headshot accuracy

32.5%Accuracy (enemy spotted)

35.1%Spray accuracy

82.9%Counter-strafing

6.2°Preaim

514msReaction time

45.4%T opening success

32.3%CT opening success

0.78Enemies flashed / flash

8.6%Flash assists

6.59HE damage / grenade

12.41Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 32.2935% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	10–13	0.02	24%	28 Aug →
dust2	13–9	-0.01	15%	28 Aug →
dust2	4–13	-0.05	14%	28 Aug →
dust2	13–5	0.04	19%	28 Aug →
dust2	12–12	-0.06	33%	28 Aug →
dust2	11–13	0.04	24%	25 Aug →
dust2	13–9	-0.03	21%	24 Aug →
vertigo	1–13	-0.05	15%	24 Aug →
cache	10–13	-0.05	15%	23 Aug →
dust2	13–6	0.03	22%	23 Aug →
dust2	11–13	0.03	12%	23 Aug →
dust2	13–11	0.03	14%	23 Aug →
mirage	13–6	-0.01	24%	23 Aug →
dust2	6–13	-0.01	13%	22 Aug →
dust2	13–10	0.07	18%	22 Aug →
dust2	9–13	0.02	21%	22 Aug →
nuke	13–4	0.07	26%	22 Aug →
vertigo	13–11	0.01	22%	21 Aug →
italy	9–13	0.03	33%	21 Aug →
cache	13–10	-0.08	18%	21 Aug →
dust2	10–13	-0.03	31%	21 Aug →
dust2	2–13	-0.04	26%	21 Aug →
dust2	13–9	-0.06	29%	20 Aug →
dust2	6–13	0.02	33%	20 Aug →
dust2	11–13	0.02	41%	20 Aug →
dust2	13–5	0.21	38%	19 Aug →
shelter	13–10	0.02	21%	19 Aug →
mirage	6–13	0.01	38%	19 Aug →
dust2	13–8	0.11	28%	19 Aug →
dust2	1–10	0.04	57%	19 Aug →
dust2	13–11	0.07	35%	19 Aug →
dust2	3–13	-0.00	34%	18 Aug →
dust2	13–7	0.07	48%	18 Aug →
dust2	13–7	0.04	29%	18 Aug →
dust2	13–8	0.11	29%	18 Aug →
anubis	11–13	0.02	40%	17 Aug →
mirage	6–13	-0.01	36%	17 Aug →
dust2	9–13	0.03	41%	17 Aug →
dust2	2–13	-0.04	25%	17 Aug →
dust2	9–13	0.01	43%	17 Aug →
dust2	6–13	-0.03	25%	16 Aug →
ancient	13–8	0.02	27%	16 Aug →
cache	13–0	0.05	17%	16 Aug →
dust2	13–6	0.02	53%	16 Aug →
shelter	12–12	0.04	17%	16 Aug →
nuke	5–0	-0.03	0%	16 Aug →
dust2	13–11	0.10	40%	16 Aug →
dust2	8–1	0.03	27%	16 Aug →
dust2	13–8	0.06	31%	16 Aug →
dust2	13–9	0.09	27%	16 Aug →
mirage	13–10	0.00	22%	15 Aug →
cache	13–9	0.08	22%	15 Aug →
dust2	11–13	0.01	29%	15 Aug →
mirage	2–13	-0.03	25%	15 Aug →
dust2	13–8	0.10	31%	15 Aug →
anubis	13–5	-0.00	6%	15 Aug →
dust2	13–7	0.04	37%	15 Aug →
cache	13–11	0.03	18%	14 Aug →
cache	10–13	-0.01	25%	14 Aug →
office	13–6	-0.03	20%	14 Aug →
dust2	7–13	0.08	47%	14 Aug →
dust2	5–13	0.04	40%	14 Aug →
train	5–2	0.04	42%	14 Aug →
dust2	2–13	0.01	36%	14 Aug →
cache	13–1	0.01	28%	13 Aug →
dust2	12–12	0.05	32%	13 Aug →
dust2	12–2	0.04	37%	13 Aug →
dust2	12–12	0.03	28%	13 Aug →
cache	10–13	0.01	20%	13 Aug →
dust2	13–4	0.01	22%	13 Aug →
cache	13–10	-0.04	35%	12 Aug →
dust2	5–13	-0.02	29%	11 Aug →
dust2	10–13	0.04	25%	11 Aug →
dust2	13–8	0.05	29%	11 Aug →
dust2	13–8	-0.04	20%	11 Aug →
mirage	13–7	0.08	53%	10 Aug →
ancient	5–13	-0.01	4%	10 Aug →
dust2	7–13	0.06	21%	10 Aug →
ancient	7–13	-0.02	26%	9 Aug →
dust2	13–4	0.09	19%	9 Aug →
mirage	4–13	-0.01	20%	9 Aug →
ancient	3–11	-0.04	9%	9 Aug →
dust2	13–3	0.07	23%	9 Aug →
fachwerk	10–13	0.04	33%	8 Aug →
cache	5–13	0.01	23%	8 Aug →
dust2	13–6	0.01	28%	8 Aug →
ancient	4–13	-0.05	24%	8 Aug →
dust2	12–12	-0.02	14%	8 Aug →
dust2	13–9	0.02	27%	7 Aug →
dust2	12–12	0.01	30%	7 Aug →
boulder	12–12	0.07	26%	7 Aug →
inferno	13–11	0.03	26%	7 Aug →
cache	12–12	-0.00	14%	7 Aug →
dust2	12–0	0.02	17%	7 Aug →
dust2	12–16	-0.02	17%	6 Aug →
boulder	13–9	0.14	23%	6 Aug →
dust2	10–13	-0.01	30%	6 Aug →
cache	3–13	-0.10	33%	6 Aug →
dust2	3–13	-0.04	25%	6 Aug →
ancient	11–13	-0.04	21%	5 Aug →