INTYMA — CS2 Stats

76561198337892071[U:1:377626343]

1,085Tracked matches57%Win rate2020Tracked since

4,590Hours in CS4Hrs last 2 wks

CSDB Rating6.3 SolidHybrid Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	61.2%	52.0%
Shot accuracy	16.5%	13.7%
Kill/death ratio	0.66	1.08
Match win rate	47.2%	48.8%

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Performance scores

Aim83

Positioning46

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLLWWLWWLWW

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.3

Aggression5.1

Utility4.7

Positioning4.6

Opening Duels2.0

Clutch4.2

Excellent counter-strafing

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 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

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

Reaction time. 600ms 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

Aim8.3

Positioning4.6

Utility4.7

Mechanics8.5

Opening Duels2.0

Win Impact7.2

Composite 6.3/10 (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 rating0.01−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time604ms−10ms

first ⅓ avg 614ms → last ⅓ avg 604ms

Headshot accuracy17.5%−2.6%

first ⅓ avg 20.1% → last ⅓ avg 17.5%

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

0.18Best rating — ancient 13–4

13–1Biggest win — mirage

6Longest win streak

L2Current streak

5–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

ancientBest map · 62% over 13nukeWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	30	12–18	40%	0.02
mirage	B	29	15–14	52%	0.01
cache	B	15	8–7	53%	0.06
ancient	A	13	8–5	62%	0.05
nuke	D	8	2–6	25%	0.03
anubis	—	4	3–1	75%	0.01
train	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

300,585Lifetime kills

0.66K/D

5,494Matches

47.2%Match win rate

61.2%Headshot % · Top 25% of Level 10 players

16.5%Shot accuracy · Top 25% of Level 10 players

14,582MVPs

6,522Hours (in match)

4,030Bombs planted

1,131Bombs defused

Most-used weapons

AK-47153,029

M4A4 / M4A1-S38,697

Desert Eagle29,759

AWP28,012

P2000 / USP-S23,893

Glock-186,897

P2503,027

SG 5531,989

MP91,974

Galil AR1,798

Lifetime map wins

5,703dust2

2,618inferno

2,479train

1,910nuke

780cbble

440vertigo

92lake

91safehouse

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

Faceit stats

Combat

976Matches

52%Win rate

1.20Avg K/D

78.7ADR

47%Headshot %

Clutches & streaks

41%1v1 clutch win

14%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	119	46%	1.06	16.7
Anubis	78	51%	1.07	15.9
Dust2	54	59%	1.04	15.7
Ancient	44	52%	1.08	15.1
Nuke	23	48%	1.14	17.0
Overpass	18	56%	1.13	16.1
Vertigo	9	22%	0.82	12.2
Inferno	6	50%	1.06	15.3

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.

18.0%Headshot accuracy

37.7%Accuracy (enemy spotted)

39.9%Spray accuracy

88.4%Counter-strafing

8.4°Preaim

600msReaction time

31.7%T opening success

44.3%CT opening success

0.55Enemies flashed / flash

10.2%Flash assists

6.68HE damage / grenade

7.79Flashes / 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 31.7361% — below the 40% mark we flag

Spend your practice time on Nuke

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	10–13	-0.06	15%	16 Aug →
mirage	11–13	0.03	20%	16 Aug →
mirage	13–4	-0.03	18%	15 Aug →
anubis	13–6	0.06	35%	15 Aug →
mirage	13–16	-0.04	18%	15 Aug →
dust2	12–5	0.02	17%	13 Aug →
ancient	13–5	0.04	11%	13 Aug →
nuke	9–13	0.03	19%	13 Aug →
anubis	13–5	0.03	28%	12 Aug →
dust2	13–11	-0.01	24%	12 Aug →
mirage	13–9	0.02	28%	11 Aug →
dust2	10–13	0.03	22%	11 Aug →
mirage	9–13	0.02	21%	30 Jun →
train	11–13	0.01	15%	30 Jun →
ancient	9–13	0.09	15%	30 Jun →
mirage	4–13	-0.02	23%	27 Jun →
dust2	2–13	-0.09	15%	27 Jun →
mirage	9–13	-0.00	22%	26 Jun →
mirage	13–10	0.02	22%	26 Jun →
mirage	13–3	-0.01	13%	26 Jun →
mirage	13–1	-0.03	4%	26 Jun →
dust2	13–5	0.01	7%	26 Jun →
dust2	3–13	-0.06	6%	25 Jun →
mirage	13–7	0.02	17%	25 Jun →
ancient	13–5	-0.04	8%	25 Jun →
mirage	13–10	-0.07	12%	25 Jun →
dust2	13–8	0.02	18%	25 Jun →
anubis	13–9	0.02	18%	25 Jun →
nuke	13–9	0.06	30%	25 Jun →
dust2	12–16	-0.04	9%	24 Jun →
mirage	13–9	0.14	19%	24 Jun →
mirage	13–9	0.01	16%	24 Jun →
dust2	13–9	0.02	11%	24 Jun →
dust2	8–13	0.01	15%	23 Jun →
cache	13–9	0.11	16%	23 Jun →
dust2	5–13	-0.06	21%	23 Jun →
mirage	11–13	-0.03	11%	23 Jun →
ancient	4–13	0.01	12%	22 Jun →
dust2	13–9	0.03	21%	22 Jun →
mirage	13–8	0.11	13%	22 Jun →
mirage	8–13	-0.03	15%	22 Jun →
mirage	6–13	0.00	24%	21 Jun →
mirage	13–10	0.03	24%	19 Jun →
dust2	13–11	0.05	28%	19 Jun →
mirage	13–9	0.02	24%	19 Jun →
cache	1–13	-0.03	33%	19 Jun →
ancient	13–5	0.10	18%	18 Jun →
dust2	13–5	0.10	17%	18 Jun →
dust2	13–6	-0.03	10%	12 Jun →
nuke	9–13	0.04	19%	12 Jun →
cache	9–13	0.11	29%	3 Jun →
mirage	9–13	0.01	25%	3 Jun →
cache	9–13	0.03	24%	29 May →
nuke	7–13	0.05	31%	29 May →
ancient	16–12	0.05	19%	28 May →
ancient	13–6	0.13	20%	26 May →
cache	13–11	0.08	22%	13 May →
cache	13–2	0.01	16%	9 May →
cache	10–13	0.03	22%	9 May →
cache	13–11	0.03	20%	9 May →
cache	5–13	-0.03	17%	7 May →
cache	13–10	0.12	15%	7 May →
nuke	5–13	0.03	18%	3 May →
cache	9–13	0.09	19%	3 May →
cache	7–13	0.00	23%	2 May →
cache	13–8	0.01	26%	2 May →
cache	13–11	0.09	27%	1 May →
cache	13–3	0.18	15%	1 May →
dust2	9–13	-0.02	21%	25 Apr →
mirage	13–9	-0.02	18%	25 Apr →
dust2	11–13	-0.02	18%	25 Apr →
mirage	6–13	0.02	17%	24 Apr →
ancient	12–16	0.07	23%	24 Apr →
dust2	8–13	-0.00	20%	23 Apr →
mirage	11–13	-0.02	15%	23 Apr →
ancient	6–13	0.05	18%	23 Apr →
ancient	11–13	-0.01	20%	22 Apr →
mirage	3–13	0.08	17%	22 Apr →
nuke	2–13	0.04	14%	22 Apr →
dust2	10–13	0.07	14%	22 Apr →
ancient	13–7	0.00	16%	15 Apr →
dust2	12–12	0.07	18%	12 Apr →
dust2	5–13	-0.06	24%	12 Apr →
dust2	13–8	0.09	24%	11 Apr →
dust2	8–13	-0.06	19%	9 Apr →
dust2	8–13	0.11	23%	7 Apr →
ancient	8–2	-0.00	32%	31 Mar →
nuke	13–7	-0.02	23%	31 Mar →
ancient	13–4	0.18	24%	31 Mar →
dust2	12–12	0.04	20%	30 Mar →
mirage	6–13	0.06	24%	29 Mar →
dust2	5–13	0.04	25%	29 Mar →
dust2	13–8	0.03	22%	29 Mar →
dust2	13–5	0.17	25%	29 Mar →
mirage	13–10	0.02	19%	28 Mar →
mirage	5–13	0.02	10%	28 Mar →
mirage	13–3	0.10	24%	28 Mar →
dust2	11–13	0.08	24%	28 Mar →
dust2	1–13	-0.05	16%	27 Mar →
nuke	10–13	-0.02	22%	27 Mar →