-facE — CS2 Stats

US76561197995205978[U:1:34940250]Steam profile ↗✓ No bans

2,538Tracked matches65%Win rate2020Tracked since

5,569Hours in CS31Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim91

Positioning49

Utility77

0–100 skill scores via Leetify.

Recent form

STEADY50–41–9Last 10050%Win rateWWLLLWLLTW

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

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

Aim9.1

Aggression7.3

Utility7.7

Positioning4.9

Opening Duels4.1

Clutch3.0

Sharp aimerStrong CT-side openerEffective flashesHigh utility contribution

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 91% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: higher 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 59% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim9.1

Positioning4.9

Utility7.7

Mechanics7.8

Opening Duels4.1

Win Impact10.0

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.05

first ⅓ avg -0.00 → last ⅓ avg 0.04

Reaction time560ms−65ms

first ⅓ avg 625ms → last ⅓ avg 560ms

Headshot accuracy25.6%+0.4%

first ⅓ avg 25.2% → last ⅓ avg 25.6%

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

0.20Best rating — cache 13–1

13–1Biggest win — inferno

5Longest win streak

W2Current streak

4–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

infernoBest map · 86% over 14mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	35	17–18	49%	0.02
cache	C	32	14–18	44%	0.03
inferno	S	14	12–2	86%	0.03
train	B	13	6–7	46%	0.01
mirage	D	5	1–4	20%	-0.00
dust2	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,425Lifetime kills

0.83K/D

6,314Matches

44.1%Match win rate

52.5%Headshot % · Top 25% of tracked players

12.7%Shot accuracy · Top 50% of tracked players

11,034MVPs

2,815Hours (in match)

3,350Bombs planted

1,224Bombs defused

Most-used weapons

AK-4737,936

Desert Eagle24,970

M4A4 / M4A1-S20,776

P2000 / USP-S6,560

AWP4,481

Glock-183,776

FAMAS1,941

MAC-101,874

MP91,761

HE Grenade1,049

Lifetime map wins

26,482inferno

3,967train

2,990dust2

399nuke

199office

23italy

19vertigo

8safehouse

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

Faceit stats

Combat

984Matches

49%Win rate

0.95Avg K/D

73.8ADR

51%Headshot %

Clutches & streaks

35%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	292	57%	0.98	14.7
Ancient	235	45%	0.97	14.2
Train	102	64%	1.20	15.3
Overpass	73	40%	0.85	14.0
Dust2	63	32%	0.80	12.8
Mirage	42	31%	0.74	10.8
Cache	40	50%	1.13	13.7

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.

25.9%Headshot accuracy

39.3%Accuracy (enemy spotted)

41.6%Spray accuracy

84.9%Counter-strafing

8.5°Preaim

564msReaction time

33.2%T opening success

59.5%CT opening success

0.76Enemies flashed / flash

12.1%Flash assists

10.29HE damage / grenade

16.52Flashes / 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 33.1841% — 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.

20% win rate across 5 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
cache	6–1	0.19	39%	28 Aug →
inferno	13–1	0.11	17%	28 Aug →
train	6–13	-0.03	16%	28 Aug →
ancient	8–13	0.01	15%	28 Aug →
cache	11–13	-0.00	28%	28 Aug →
train	13–8	0.00	32%	27 Aug →
ancient	8–13	0.01	21%	27 Aug →
cache	10–13	0.02	29%	27 Aug →
inferno	12–12	0.01	26%	27 Aug →
train	13–6	0.03	28%	27 Aug →
ancient	11–13	0.04	16%	27 Aug →
cache	13–3	-0.02	21%	27 Aug →
inferno	13–6	0.07	37%	26 Aug →
train	13–6	-0.02	27%	26 Aug →
ancient	13–5	0.14	24%	26 Aug →
cache	9–13	0.01	31%	26 Aug →
ancient	13–5	-0.01	10%	25 Aug →
cache	13–8	0.08	36%	25 Aug →
inferno	13–8	0.07	24%	25 Aug →
train	13–7	0.09	29%	25 Aug →
ancient	12–12	-0.01	30%	25 Aug →
cache	13–2	0.06	33%	25 Aug →
cache	13–4	0.08	25%	25 Aug →
ancient	13–3	0.07	27%	24 Aug →
cache	8–13	-0.01	25%	24 Aug →
inferno	13–5	0.14	32%	24 Aug →
train	12–12	0.05	36%	24 Aug →
ancient	12–12	0.04	10%	24 Aug →
cache	13–9	0.10	26%	24 Aug →
train	10–13	0.10	33%	16 Aug →
inferno	13–3	0.08	17%	16 Aug →
cache	13–11	0.03	20%	16 Aug →
ancient	1–13	-0.05	24%	16 Aug →
inferno	13–6	-0.01	25%	15 Aug →
ancient	13–2	0.03	32%	15 Aug →
ancient	16–14	-0.05	14%	15 Aug →
cache	8–13	-0.07	18%	14 Aug →
ancient	13–9	-0.03	37%	14 Aug →
ancient	12–12	0.02	34%	13 Aug →
ancient	6–1	0.09	54%	13 Aug →
inferno	13–1	0.02	33%	13 Aug →
train	13–8	-0.02	39%	13 Aug →
train	10–0	0.14	30%	13 Aug →
cache	13–1	0.07	21%	13 Aug →
ancient	11–13	0.06	37%	13 Aug →
cache	6–13	-0.05	19%	12 Aug →
ancient	9–13	-0.02	22%	12 Aug →
cache	13–6	0.09	37%	12 Aug →
ancient	2–13	-0.08	30%	12 Aug →
cache	9–13	-0.02	28%	11 Aug →
inferno	13–6	-0.01	30%	11 Aug →
inferno	13–5	-0.01	30%	11 Aug →
ancient	13–5	0.06	31%	11 Aug →
cache	12–12	-0.02	19%	11 Aug →
train	6–13	-0.10	16%	10 Aug →
cache	8–13	0.04	26%	10 Aug →
ancient	13–5	0.05	15%	10 Aug →
cache	9–13	-0.04	26%	7 Aug →
cache	13–1	0.20	30%	7 Aug →
ancient	3–13	-0.04	32%	7 Aug →
ancient	10–13	0.05	30%	5 Aug →
cache	12–12	0.11	33%	5 Aug →
ancient	13–11	0.02	21%	5 Aug →
train	6–13	0.02	39%	4 Aug →
ancient	13–8	0.03	22%	4 Aug →
ancient	7–13	0.01	32%	4 Aug →
ancient	13–4	0.05	22%	2 Aug →
cache	13–9	0.04	19%	1 Aug →
ancient	13–6	0.01	22%	1 Aug →
ancient	19–16	-0.02	14%	1 Aug →
mirage	8–13	-0.03	20%	1 Aug →
dust2	3–13	-0.03	35%	1 Aug →
ancient	2–13	-0.06	25%	1 Aug →
ancient	9–13	-0.02	25%	31 Jul →
inferno	13–11	-0.03	14%	31 Jul →
ancient	8–13	-0.08	15%	31 Jul →
cache	10–13	0.01	18%	31 Jul →
ancient	12–12	0.02	27%	31 Jul →
cache	12–12	0.07	31%	30 Jul →
train	2–13	-0.04	29%	30 Jul →
ancient	13–9	0.03	33%	30 Jul →
inferno	1–13	-0.07	25%	30 Jul →
cache	8–3	0.09	33%	30 Jul →
mirage	9–13	-0.03	36%	29 Jul →
train	5–13	-0.06	27%	29 Jul →
cache	2–13	-0.09	50%	29 Jul →
cache	16–13	0.02	15%	28 Jul →
cache	13–6	-0.01	10%	28 Jul →
cache	8–13	-0.05	15%	28 Jul →
mirage	14–16	0.02	28%	19 Jul →
cache	6–13	-0.06	31%	19 Jul →
ancient	3–13	-0.02	35%	19 Jul →
ancient	13–7	0.12	22%	18 Jul →
cache	6–13	0.02	23%	18 Jul →
mirage	13–10	0.08	25%	17 Jul →
inferno	13–5	0.04	53%	16 Jul →
cache	11–13	0.04	18%	16 Jul →
ancient	13–9	0.09	18%	16 Jul →
mirage	3–13	-0.04	29%	16 Jul →
inferno	16–12	-0.01	13%	15 Jul →