Gian-Michele — CS2 Stats

76561199249286133[U:1:1289020405]Steam profile ↗✓ No bans

3,465Tracked matches53%Win rate2022Tracked since

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating18,999Purple band · top ~12.5% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning55

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY41–50–9Last 10041%Win rateLLWWWWLWLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim8.5

Aggression6.7

Utility5.3

Positioning5.5

Opening Duels2.2

Clutch4.6

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 Twistzz 92% playstyle similarity

Most alike: opening-duel success, positioning 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

Areas to improve

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

T-side openings. Opening success drops from 57% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 609ms 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

Aim8.5

Positioning5.5

Utility5.3

Mechanics7.2

Opening Duels3.4

Win Impact6.1

Composite 6.5/10 (Solid), 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 rating0.01+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time638ms−76ms

first ⅓ avg 714ms → last ⅓ avg 638ms

Headshot accuracy21.2%+1.3%

first ⅓ avg 19.8% → last ⅓ avg 21.2%

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 — mirage 13–9

12–1Biggest win — mirage

4Longest win streak

L2Current streak

7–3In matches decided by ≤2 rounds

2Overtime games

Map breakdown

anubisBest map · 80% over 5mirageWeakest map · 38% over 64

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	64	24–40	38%	0.02
dust2	C	14	6–8	43%	0.00
inferno	S	6	4–2	67%	0.01
anubis	S	5	4–1	80%	0.04
cache	—	3	1–2	33%	-0.00
nuke	—	2	0–2	0%	-0.03
ancient	—	2	0–2	0%	-0.03
overpass	—	2	2–0	100%	0.03
vertigo	—	1	0–1	0%	0.01
debris	—	1	0–1	0%	-0.24

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 64). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

625Matches

51%Win rate

1.05Avg K/D

74.2ADR

44%Headshot %

Clutches & streaks

43%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	258	57%	1.14	16.4
Anubis	85	47%	0.91	13.9
Ancient	64	52%	1.02	15.7
Inferno	55	55%	0.94	14.5
Dust2	39	44%	0.94	13.9
Vertigo	37	32%	0.98	15.9
Overpass	22	55%	1.12	13.9
Nuke	14	50%	0.96	16.6

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.

19.1%Headshot accuracy

39.5%Accuracy (enemy spotted)

41.7%Spray accuracy

82.6%Counter-strafing

7.7°Preaim

609msReaction time

20.3%T opening success

57.0%CT opening success

0.60Enemies flashed / flash

6.9%Flash assists

10.79HE damage / grenade

11.76Flashes / 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 20.321% — 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.

38% win rate across 64 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
vertigo	7–13	0.01	15%	28 Aug →
mirage	2–13	-0.08	40%	28 Aug →
anubis	13–4	0.05	22%	28 Aug →
mirage	13–7	0.05	7%	28 Aug →
dust2	13–6	-0.07	8%	25 Aug →
anubis	7–2	0.03	15%	25 Aug →
dust2	5–13	-0.01	24%	25 Aug →
mirage	13–8	0.07	10%	25 Aug →
mirage	8–13	-0.10	43%	21 Aug →
mirage	3–0	0.00	100%	17 Aug →
mirage	9–13	0.01	33%	9 Aug →
mirage	13–5	-0.05	22%	6 Aug →
mirage	13–3	0.01	14%	6 Aug →
mirage	12–16	-0.06	12%	6 Aug →
mirage	9–13	0.08	25%	30 Jul →
anubis	13–8	0.11	9%	30 Jul →
dust2	13–5	0.10	16%	30 Jul →
mirage	1–13	-0.08	12%	30 Jul →
inferno	16–14	0.06	13%	30 Jul →
dust2	13–7	0.06	33%	30 Jul →
inferno	5–13	0.01	14%	30 Jul →
mirage	13–10	0.07	20%	28 Jul →
dust2	10–13	0.08	31%	28 Jul →
mirage	6–13	0.03	16%	27 Jul →
mirage	13–7	0.03	16%	27 Jul →
mirage	4–6	-0.00	26%	26 Jul →
cache	7–13	0.01	4%	26 Jul →
mirage	13–8	-0.02	23%	23 Jul →
mirage	13–10	-0.06	16%	23 Jul →
mirage	9–13	0.06	14%	23 Jul →
mirage	13–11	0.02	29%	23 Jul →
inferno	3–13	-0.02	7%	23 Jul →
mirage	7–13	0.03	10%	23 Jul →
mirage	12–12	0.01	24%	22 Jul →
mirage	4–13	-0.01	26%	22 Jul →
inferno	13–7	0.06	21%	21 Jul →
mirage	10–13	0.02	7%	20 Jul →
inferno	13–11	0.01	14%	18 Jul →
dust2	12–12	-0.07	17%	17 Jul →
mirage	12–12	0.06	11%	16 Jul →
mirage	13–8	0.07	25%	16 Jul →
mirage	13–9	0.17	24%	16 Jul →
debris	0–9	-0.24	18%	15 Jul →
mirage	13–5	-0.01	22%	15 Jul →
mirage	5–13	0.06	12%	15 Jul →
mirage	3–13	0.01	29%	15 Jul →
nuke	4–13	-0.00	16%	15 Jul →
anubis	13–4	0.04	23%	14 Jul →
mirage	10–13	-0.07	27%	13 Jul →
mirage	13–9	-0.01	5%	13 Jul →
mirage	8–13	0.03	10%	13 Jul →
cache	13–6	-0.00	10%	12 Jul →
mirage	10–13	0.09	15%	12 Jul →
mirage	7–13	0.02	7%	12 Jul →
dust2	2–9	-0.04	12%	9 Jul →
dust2	2–8	-0.02	27%	9 Jul →
mirage	12–1	0.04	10%	9 Jul →
mirage	12–12	-0.02	9%	9 Jul →
mirage	11–13	0.11	18%	8 Jul →
mirage	8–13	0.08	9%	6 Jul →
cache	3–13	-0.00	13%	6 Jul →
dust2	13–8	-0.01	17%	6 Jul →
mirage	3–13	-0.04	21%	6 Jul →
dust2	10–13	-0.02	28%	6 Jul →
mirage	12–12	-0.00	7%	6 Jul →
dust2	13–11	0.13	19%	5 Jul →
mirage	10–13	0.06	20%	5 Jul →
mirage	3–13	0.00	16%	5 Jul →
dust2	13–6	0.03	15%	3 Jul →
mirage	4–13	-0.06	25%	3 Jul →
mirage	13–8	0.07	36%	1 Jul →
ancient	2–13	-0.01	20%	1 Jul →
mirage	12–12	0.14	19%	1 Jul →
mirage	13–11	0.10	19%	30 Jun →
mirage	12–12	0.09	20%	30 Jun →
overpass	13–8	0.06	20%	30 Jun →
mirage	13–6	0.06	18%	30 Jun →
nuke	2–13	-0.06	13%	30 Jun →
mirage	10–13	0.01	16%	28 Jun →
mirage	13–6	0.07	22%	26 Jun →
mirage	5–13	-0.02	17%	20 Jun →
mirage	5–13	-0.08	19%	19 Jun →
mirage	6–13	-0.01	32%	19 Jun →
mirage	13–7	0.01	14%	18 Jun →
mirage	10–13	0.08	17%	18 Jun →
mirage	13–11	-0.01	26%	14 Jun →
mirage	12–12	-0.03	13%	14 Jun →
mirage	13–3	0.01	31%	14 Jun →
mirage	12–12	-0.03	15%	14 Jun →
mirage	9–13	-0.01	11%	11 Jun →
mirage	13–9	0.05	18%	6 Jun →
dust2	11–13	-0.06	19%	23 Apr →
dust2	9–13	-0.04	11%	21 Apr →
anubis	8–13	-0.00	12%	20 Apr →
mirage	2–13	-0.03	29%	20 Apr →
inferno	13–11	-0.04	17%	20 Apr →
mirage	13–8	0.08	19%	20 Apr →
ancient	8–13	-0.06	26%	17 Apr →
mirage	6–13	-0.09	31%	16 Apr →
overpass	13–6	0.00	19%	16 Apr →