gattit — CS2 Stats

IM76561198259190864[U:1:298925136]Steam profile ↗✓ No bans

1,813Tracked matches55%Win rate2020Tracked since

CSDB Rating6.6 SolidAggressive Rifler

FaceitLevel 10 · 2,647 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim87

Positioning61

Utility38

0–100 skill scores via Leetify.

Recent form

COLD47–47–6Last 10047%Win rateLLLLLWLWTW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.7

Aggression8.6

Utility3.8

Positioning6.1

Opening Duels3.7

Clutch3.4

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 ropz 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency.

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.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 62% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim8.7

Positioning6.1

Utility3.8

Mechanics6.7

Opening Duels4.0

Win Impact6.7

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time567ms−38ms

first ⅓ avg 604ms → last ⅓ avg 567ms

Headshot accuracy23.2%−3.4%

first ⅓ avg 26.7% → last ⅓ avg 23.2%

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

0.19Best rating — inferno 9–4

13–0Biggest win — dust2

4Longest win streak

L5Current streak

5–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

dust2Best map · 67% over 6cacheWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	48	23–25	48%	0.01
cache	C	11	4–7	36%	0.02
inferno	B	8	4–4	50%	0.00
nuke	C	8	3–5	38%	-0.05
dust2	S	6	4–2	67%	0.01
vertigo	B	6	3–3	50%	0.06
anubis	—	4	1–3	25%	-0.00
train	—	3	1–2	33%	0.05
office	—	3	2–1	67%	-0.02
ancient	—	2	2–0	100%	0.03
poseidon	—	1	0–1	0%	0.12

Across the last 100 tracked matches.

Faceit stats

Combat

1,691Matches

53%Win rate

1.16Avg K/D

83.3ADR

50%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	330	57%	1.25	17.5
Dust2	178	47%	1.13	17.7
Anubis	122	52%	1.22	17.8
Ancient	86	51%	1.09	15.8
Inferno	42	55%	1.03	15.7
Nuke	33	52%	1.11	18.2
Overpass	19	63%	1.41	18.2
Cache	15	60%	1.12	15.6

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.

22.4%Headshot accuracy

37.0%Accuracy (enemy spotted)

42.6%Spray accuracy

80.3%Counter-strafing

7.6°Preaim

568msReaction time

27.7%T opening success

62.1%CT opening success

0.35Enemies flashed / flash

6.8%Flash assists

6.80HE damage / grenade

9.44Flashes / 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.

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 0.354 — 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 27.7048% — below the 40% mark we flag

Spend your practice time on Cache

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	0–9	-0.27	23%	16 Aug →
poseidon	7–9	0.12	23%	16 Aug →
dust2	7–13	-0.04	35%	16 Aug →
train	1–13	-0.02	25%	16 Aug →
cache	4–13	0.01	33%	16 Aug →
mirage	13–4	0.03	13%	16 Aug →
mirage	11–13	-0.04	18%	16 Aug →
mirage	13–3	-0.02	15%	6 Aug →
mirage	12–12	-0.03	12%	6 Aug →
dust2	13–10	0.01	28%	4 Aug →
vertigo	1–10	-0.02	50%	3 Aug →
mirage	13–9	0.05	12%	3 Aug →
mirage	11–13	0.02	24%	21 Jul →
dust2	13–0	0.01	44%	17 Jul →
anubis	13–6	-0.03	13%	17 Jul →
inferno	4–0	0.05	0%	17 Jul →
mirage	5–13	-0.05	19%	17 Jul →
office	13–7	-0.04	13%	8 Jul →
mirage	8–13	-0.06	16%	8 Jul →
mirage	10–13	-0.04	16%	8 Jul →
nuke	9–7	-0.12	31%	3 Jul →
inferno	2–9	-0.09	44%	3 Jul →
mirage	13–4	0.05	10%	3 Jul →
mirage	13–9	0.10	42%	3 Jul →
cache	4–13	-0.07	23%	3 Jul →
cache	13–7	0.00	21%	29 Jun →
mirage	13–11	-0.00	17%	29 Jun →
mirage	13–10	0.12	21%	29 Jun →
train	13–2	0.08	26%	23 Jun →
mirage	4–13	0.03	24%	23 Jun →
mirage	13–5	0.03	22%	23 Jun →
mirage	13–7	0.02	27%	23 Jun →
train	4–13	0.10	25%	23 Jun →
vertigo	9–1	0.11	9%	11 Jun →
inferno	9–4	0.03	16%	11 Jun →
mirage	10–13	0.01	30%	11 Jun →
mirage	13–8	0.02	20%	11 Jun →
mirage	13–10	-0.03	23%	10 Jun →
ancient	13–8	0.02	25%	5 Jun →
mirage	6–13	0.01	25%	4 Jun →
nuke	0–9	-0.15	0%	4 Jun →
nuke	1–9	-0.20	27%	4 Jun →
vertigo	13–3	0.07	17%	4 Jun →
vertigo	9–13	0.07	53%	4 Jun →
vertigo	9–13	0.05	27%	4 Jun →
dust2	13–9	0.09	23%	2 Jun →
nuke	8–8	0.09	28%	31 May →
inferno	9–4	0.19	25%	31 May →
anubis	3–13	0.05	30%	28 May →
anubis	5–13	-0.02	19%	28 May →
anubis	8–13	-0.02	21%	28 May →
vertigo	9–6	0.05	32%	20 May →
mirage	7–13	-0.01	28%	20 May →
mirage	5–13	0.01	18%	20 May →
mirage	13–0	0.10	37%	20 May →
mirage	13–7	0.04	19%	18 May →
office	13–5	-0.01	27%	15 May →
office	12–12	-0.02	39%	15 May →
cache	7–0	0.14	46%	15 May →
cache	8–13	-0.01	26%	10 May →
cache	11–13	0.09	25%	6 May →
cache	4–13	-0.05	20%	6 May →
cache	9–13	0.06	37%	6 May →
dust2	4–13	-0.00	31%	4 May →
cache	13–5	0.08	17%	3 May →
mirage	3–13	0.08	37%	3 May →
mirage	14–16	0.01	36%	2 May →
mirage	13–6	0.10	17%	29 Apr →
mirage	12–12	0.00	25%	29 Apr →
cache	13–10	0.02	19%	29 Apr →
cache	5–13	-0.02	31%	29 Apr →
dust2	13–11	-0.02	20%	24 Apr →
inferno	9–2	0.11	39%	23 Apr →
ancient	13–4	0.05	19%	23 Apr →
mirage	5–13	-0.07	23%	23 Apr →
mirage	7–13	0.02	24%	22 Apr →
mirage	13–8	0.13	47%	22 Apr →
mirage	7–13	-0.11	18%	22 Apr →
mirage	13–3	0.10	20%	21 Apr →
mirage	8–13	0.08	35%	21 Apr →
mirage	13–10	0.05	28%	21 Apr →
nuke	13–2	0.06	20%	15 Apr →
mirage	13–9	-0.01	26%	15 Apr →
mirage	13–6	0.03	52%	15 Apr →
nuke	8–8	-0.08	15%	15 Apr →
inferno	8–8	0.03	24%	9 Apr →
mirage	13–7	0.03	19%	9 Apr →
mirage	3–13	0.02	20%	8 Apr →
mirage	3–13	-0.09	18%	8 Apr →
mirage	10–13	0.03	21%	8 Apr →
mirage	7–13	-0.00	23%	8 Apr →
mirage	13–11	-0.02	39%	3 Apr →
mirage	6–13	-0.02	23%	1 Apr →
nuke	9–5	0.05	18%	30 Mar →
mirage	13–11	-0.05	22%	30 Mar →
mirage	13–9	0.01	27%	30 Mar →
inferno	2–13	-0.03	37%	30 Mar →
mirage	10–13	-0.05	43%	30 Mar →
mirage	8–13	-0.01	32%	30 Mar →
nuke	5–9	-0.06	36%	25 Mar →