Gigs — CS2 Stats

US76561199706107727[U:1:1745841999]Steam profile ↗

1,330Tracked matches46%Win rate2024Tracked since

CSDB Rating4.3 Developing

Premier CS Rating14,629Blue band · top ~30.4% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning36

Utility67

0–100 skill scores via Leetify.

Recent form

COLD51–45–4Last 10051%Win rateTLWWLWLLLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim4.6

Aggression3.6

Utility6.7

Positioning3.6

Opening Duels0.8

Clutch0.8

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 NiKo 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim 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

Areas to improve

T-side openings. Opening success drops from 45% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim4.6

Positioning3.6

Utility6.7

Mechanics5.4

Opening Duels1.9

Win Impact3.8

Composite 4.3/10 (Developing), 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 rating-0.02+0.02

first ⅓ avg -0.04 → last ⅓ avg -0.02

Reaction time599ms−58ms

first ⅓ avg 657ms → last ⅓ avg 599ms

Headshot accuracy14.1%−0.1%

first ⅓ avg 14.2% → last ⅓ avg 14.1%

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

0.09Best rating — dust2 13–6

13–1Biggest win — anubis

5Longest win streak

5–7In matches decided by ≤2 rounds

16Overtime games

Map breakdown

ancientBest map · 64% over 11infernoWeakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	25	12–13	48%	-0.03
dust2	A	24	14–10	58%	-0.02
inferno	C	21	8–13	38%	-0.03
ancient	A	11	7–4	64%	-0.02
anubis	A	10	6–4	60%	-0.02
cache	C	5	2–3	40%	-0.03
nuke	—	3	2–1	67%	-0.04
overpass	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

93Matches

53%Win rate

0.72Avg K/D

67.3ADR

37%Headshot %

Clutches & streaks

24%1v1 clutch win

19%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	63%	0.81	11.9
Inferno	18	56%	0.68	12.3
Ancient	10	40%	0.70	11.7
Anubis	10	40%	0.75	11.9
Nuke	10	60%	0.74	11.2
Dust2	9	56%	0.74	10.9
Overpass	6	50%	0.80	12.0
Cache	6	50%	0.74	14.0

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.

14.1%Headshot accuracy

31.9%Accuracy (enemy spotted)

33.7%Spray accuracy

74.2%Counter-strafing

11.9°Preaim

596msReaction time

21.6%T opening success

45.1%CT opening success

0.63Enemies flashed / flash

4.3%Flash assists

10.57HE damage / grenade

18.10Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.1239% — below the 15% mark we flag
Aim Training →
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 21.6395% — below the 40% mark we flag

Spend your practice time on Inferno

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 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	8–8	-0.02	9%	27 Aug →
inferno	6–9	-0.07	14%	27 Aug →
ancient	13–10	0.00	12%	24 Aug →
dust2	13–6	0.09	21%	24 Aug →
dust2	7–13	-0.02	16%	23 Aug →
mirage	16–14	-0.07	13%	23 Aug →
cache	5–13	-0.06	15%	20 Aug →
dust2	10–13	-0.03	14%	20 Aug →
dust2	7–13	-0.02	18%	19 Aug →
mirage	7–13	-0.10	19%	18 Aug →
anubis	15–15	-0.03	11%	15 Aug →
ancient	13–10	0.02	10%	13 Aug →
inferno	11–13	-0.02	16%	11 Aug →
mirage	9–13	-0.03	12%	11 Aug →
dust2	16–13	0.01	11%	11 Aug →
cache	5–13	-0.07	9%	6 Aug →
dust2	13–4	0.09	21%	6 Aug →
mirage	13–16	0.00	10%	6 Aug →
inferno	0–7	-0.03	11%	6 Aug →
mirage	4–13	-0.05	19%	6 Aug →
anubis	15–15	-0.02	9%	6 Aug →
mirage	13–7	0.02	10%	4 Aug →
inferno	7–13	-0.00	9%	3 Aug →
mirage	13–16	-0.00	16%	3 Aug →
dust2	13–10	0.01	13%	30 Jul →
inferno	7–13	0.01	13%	30 Jul →
anubis	13–10	-0.06	20%	29 Jul →
ancient	13–11	-0.02	10%	29 Jul →
dust2	13–7	0.02	21%	29 Jul →
inferno	13–10	-0.02	21%	26 Jul →
mirage	10–1	0.04	16%	26 Jul →
mirage	11–13	-0.07	16%	26 Jul →
anubis	9–13	-0.04	12%	24 Jul →
dust2	13–6	-0.01	22%	24 Jul →
cache	13–10	0.01	18%	24 Jul →
inferno	13–11	0.01	13%	24 Jul →
ancient	13–10	0.01	13%	21 Jul →
dust2	11–13	-0.08	12%	21 Jul →
anubis	13–1	-0.01	15%	21 Jul →
ancient	13–3	-0.01	9%	20 Jul →
mirage	13–10	0.01	12%	19 Jul →
dust2	13–8	-0.04	23%	18 Jul →
mirage	13–6	-0.00	16%	18 Jul →
inferno	7–13	0.01	7%	17 Jul →
inferno	13–3	0.04	14%	17 Jul →
cache	16–13	0.03	14%	17 Jul →
dust2	6–13	-0.01	17%	17 Jul →
inferno	13–4	0.05	19%	17 Jul →
mirage	8–13	-0.03	6%	17 Jul →
nuke	13–4	0.03	20%	16 Jul →
mirage	13–8	-0.03	14%	16 Jul →
anubis	13–6	-0.01	9%	16 Jul →
mirage	13–2	0.05	17%	15 Jul →
inferno	16–13	-0.04	13%	15 Jul →
inferno	11–13	-0.06	13%	14 Jul →
mirage	13–4	0.01	10%	14 Jul →
dust2	6–13	-0.04	9%	13 Jul →
ancient	4–13	-0.08	0%	11 Jul →
dust2	13–6	-0.02	15%	11 Jul →
mirage	8–13	-0.05	11%	11 Jul →
inferno	9–13	-0.06	12%	11 Jul →
mirage	2–13	-0.09	15%	11 Jul →
anubis	13–2	0.05	14%	11 Jul →
dust2	10–13	-0.04	20%	10 Jul →
nuke	13–10	-0.03	7%	10 Jul →
mirage	13–8	-0.04	7%	9 Jul →
mirage	8–13	-0.02	11%	9 Jul →
cache	3–13	-0.07	10%	9 Jul →
dust2	13–7	-0.06	21%	9 Jul →
ancient	13–10	0.04	16%	6 Jul →
anubis	16–13	-0.06	22%	6 Jul →
inferno	13–8	-0.07	16%	6 Jul →
inferno	10–13	-0.07	5%	6 Jul →
dust2	7–13	-0.01	17%	6 Jul →
dust2	13–5	-0.06	15%	30 Jun →
mirage	8–13	-0.01	12%	30 Jun →
anubis	13–7	-0.01	10%	28 Jun →
ancient	4–13	-0.06	12%	28 Jun →
mirage	13–9	-0.04	9%	28 Jun →
inferno	9–13	-0.03	12%	28 Jun →
dust2	13–11	-0.04	5%	25 Jun →
ancient	14–16	-0.05	19%	25 Jun →
mirage	13–8	-0.04	15%	23 Jun →
inferno	15–15	-0.01	16%	21 Jun →
mirage	16–13	-0.05	8%	21 Jun →
dust2	13–10	0.03	18%	18 Jun →
dust2	7–13	-0.05	26%	16 Jun →
ancient	16–13	-0.06	14%	16 Jun →
mirage	14–16	-0.06	10%	15 Jun →
inferno	13–6	0.00	16%	14 Jun →
overpass	10–13	-0.03	14%	10 Jun →
anubis	13–16	-0.03	19%	9 Jun →
nuke	8–13	-0.12	14%	8 Jun →
dust2	13–5	-0.03	13%	8 Jun →
inferno	11–13	-0.07	18%	4 Jun →
mirage	5–13	-0.02	8%	4 Jun →
ancient	4–13	0.01	12%	4 Jun →
dust2	2–13	-0.08	19%	2 Jun →
dust2	13–6	-0.05	16%	2 Jun →
inferno	16–14	-0.06	15%	27 May →