a1ert — CS2 Stats

TC76561198147335758[U:1:187070030]Steam profile ↗✓ No bans

1,079Tracked matches53%Win rate2020Tracked since

CSDB Rating7.0 StrongAggressive Rifler

FaceitLevel 10 · 1,874 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning68

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateLWWWWLLLWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

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

Aim9.0

Aggression9.8

Utility6.1

Positioning6.8

Opening Duels5.2

Clutch4.2

Sharp aimerStrong CT-side opener

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 sh1ro 96% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 65% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0

Positioning6.8

Utility6.1

Mechanics8.3

Opening Duels5.2

Win Impact6.1

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time534ms−82ms

first ⅓ avg 616ms → last ⅓ avg 534ms

Headshot accuracy26.7%−2.3%

first ⅓ avg 29.0% → last ⅓ avg 26.7%

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

0.17Best rating — train 13–5

13–1Biggest win — mirage

5Longest win streak

12–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 69% over 13ancientWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	34	20–14	59%	0.01
dust2	S	13	9–4	69%	0.02
nuke	S	12	8–4	67%	0.01
ancient	C	12	5–7	42%	0.01
anubis	A	11	6–5	55%	0.01
cache	C	9	4–5	44%	0.03
inferno	S	6	4–2	67%	-0.01
office	—	2	0–2	0%	0.01
train	—	1	1–0	100%	0.17

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

656Matches

53%Win rate

1.20Avg K/D

87.4ADR

51%Headshot %

Clutches & streaks

41%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	74	58%	1.27	18.4
Ancient	31	48%	1.26	17.6
Nuke	29	52%	1.19	19.0
Dust2	23	52%	1.14	18.7
Anubis	17	71%	1.39	19.4
Cache	12	50%	1.22	16.5
Inferno	9	56%	0.95	14.3
Overpass	4	50%	1.24	20.5

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.

26.4%Headshot accuracy

36.4%Accuracy (enemy spotted)

39.7%Spray accuracy

87.4%Counter-strafing

9.0°Preaim

537msReaction time

36.4%T opening success

64.9%CT opening success

0.55Enemies flashed / flash

8.5%Flash assists

8.17HE damage / grenade

18.44Flashes / 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 36.3839% — 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.

42% win rate across 12 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
dust2	13–16	0.00	24%	28 Aug →
dust2	13–11	0.04	25%	27 Aug →
mirage	13–11	0.03	35%	26 Aug →
nuke	13–6	0.03	39%	25 Aug →
dust2	13–6	0.00	11%	25 Aug →
ancient	11–13	0.01	32%	23 Aug →
mirage	9–13	0.02	25%	23 Aug →
mirage	32–34	-0.02	22%	23 Aug →
anubis	16–12	0.02	33%	22 Aug →
mirage	13–9	0.01	25%	22 Aug →
anubis	4–13	-0.07	29%	22 Aug →
mirage	13–9	-0.01	28%	22 Aug →
nuke	13–8	-0.07	15%	21 Aug →
anubis	13–9	0.05	24%	20 Aug →
dust2	13–11	-0.01	26%	20 Aug →
dust2	13–9	-0.02	34%	20 Aug →
cache	11–13	0.01	26%	20 Aug →
mirage	8–13	0.02	24%	20 Aug →
mirage	11–13	0.03	21%	18 Aug →
anubis	14–16	0.02	22%	18 Aug →
nuke	8–13	-0.05	32%	18 Aug →
anubis	13–3	0.07	36%	18 Aug →
mirage	16–14	0.04	22%	17 Aug →
mirage	13–5	0.05	21%	16 Aug →
ancient	2–13	-0.05	50%	15 Aug →
dust2	11–13	0.01	27%	15 Aug →
mirage	13–8	0.03	25%	15 Aug →
anubis	11–13	-0.01	24%	15 Aug →
cache	13–16	0.00	27%	15 Aug →
ancient	13–8	0.05	27%	13 Aug →
ancient	13–5	0.02	26%	13 Aug →
mirage	9–13	-0.01	21%	13 Aug →
mirage	13–2	0.06	24%	11 Aug →
ancient	13–5	0.03	36%	8 Aug →
cache	13–2	0.09	25%	6 Aug →
cache	13–6	0.04	19%	4 Aug →
mirage	7–13	0.00	24%	4 Aug →
mirage	13–1	0.08	30%	1 Aug →
dust2	13–10	0.09	18%	1 Aug →
mirage	10–13	-0.00	18%	31 Jul →
nuke	10–13	-0.06	31%	30 Jul →
mirage	7–13	-0.04	17%	28 Jul →
dust2	13–11	-0.05	24%	28 Jul →
mirage	11–13	0.03	22%	28 Jul →
mirage	13–8	0.10	20%	27 Jul →
cache	16–12	0.05	21%	27 Jul →
nuke	10–13	0.01	30%	27 Jul →
nuke	16–14	-0.03	30%	26 Jul →
dust2	9–13	-0.03	54%	26 Jul →
mirage	5–13	-0.08	29%	26 Jul →
mirage	13–9	-0.04	20%	25 Jul →
anubis	13–8	0.01	29%	25 Jul →
mirage	19–17	-0.03	27%	25 Jul →
inferno	13–8	-0.08	69%	24 Jul →
cache	9–13	-0.04	42%	24 Jul →
mirage	13–3	0.05	20%	23 Jul →
mirage	13–11	-0.01	30%	23 Jul →
nuke	9–13	0.03	22%	23 Jul →
nuke	13–2	0.08	31%	23 Jul →
dust2	10–13	-0.01	34%	23 Jul →
ancient	7–13	-0.02	20%	23 Jul →
mirage	13–7	-0.04	22%	23 Jul →
ancient	7–13	-0.02	21%	23 Jul →
inferno	13–10	0.00	29%	21 Jul →
mirage	13–5	0.01	12%	16 Jul →
anubis	13–11	0.03	36%	12 Jul →
ancient	7–13	-0.01	30%	12 Jul →
anubis	13–4	-0.03	17%	10 Jul →
inferno	13–5	-0.01	23%	10 Jul →
ancient	8–13	-0.03	17%	10 Jul →
inferno	13–1	0.07	29%	10 Jul →
mirage	2–13	-0.06	25%	10 Jul →
inferno	9–13	-0.01	31%	9 Jul →
mirage	13–8	0.02	14%	9 Jul →
dust2	13–8	0.10	49%	9 Jul →
mirage	13–2	0.13	31%	7 Jul →
cache	12–12	0.01	32%	7 Jul →
nuke	13–3	0.05	21%	5 Jul →
cache	13–7	0.10	27%	5 Jul →
mirage	3–13	0.00	24%	4 Jul →
nuke	13–9	0.07	24%	4 Jul →
ancient	13–2	0.01	31%	4 Jul →
nuke	13–11	0.00	33%	3 Jul →
mirage	6–13	0.00	34%	2 Jul →
anubis	7–13	-0.04	22%	2 Jul →
anubis	3–13	0.03	31%	1 Jul →
mirage	13–11	0.08	29%	1 Jul →
dust2	13–2	0.09	44%	30 Jun →
mirage	13–7	0.01	40%	30 Jun →
mirage	13–5	-0.02	32%	27 Jun →
office	4–13	0.03	43%	25 Jun →
cache	4–13	-0.03	16%	24 Jun →
ancient	6–13	0.07	29%	21 Jun →
train	13–5	0.17	50%	20 Jun →
dust2	13–11	0.09	24%	20 Jun →
mirage	14–16	0.01	35%	19 Jun →
ancient	13–9	0.06	20%	7 Jun →
inferno	5–13	-0.04	25%	7 Jun →
office	10–13	-0.00	37%	7 Jun →
nuke	13–2	0.11	17%	6 Jun →