InVersia — CS2 Stats

US76561198150105701[U:1:189839973]Steam profile ↗✓ No bans

2,541Tracked matches48%Win rate2020Tracked since

4,165Hours in CS35Hrs last 2 wks

CSDB Rating3.7 LearningSupport

FaceitLevel 4 · 941 ELOTop 81.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning36

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY48–44–8Last 10048%Win rateWLLLLLWLWW

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

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim4.6

Aggression2.6

Utility7.0

Positioning3.6

Opening Duels0.0

Clutch10.0

Effective flashesReliable in 1v1s

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 76% 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

Strengths

Flashes. 0.93 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 618ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Utility7.0

Mechanics3.6

Opening Duels0.2

Win Impact4.4

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time613ms−73ms

first ⅓ avg 687ms → last ⅓ avg 613ms

Headshot accuracy16.1%+0.5%

first ⅓ avg 15.6% → last ⅓ avg 16.1%

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

0.12Best rating — dust2 10–13

13–0Biggest win — dust2

6Longest win streak

5–4In matches decided by ≤2 rounds

Map breakdown

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	97	48–49	49%	-0.02
anubis	—	1	0–1	0%	-0.06
mirage	—	1	0–1	0%	-0.04
cache	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Lifetime stats

76,429Lifetime kills

0.79K/D

5,448Matches

47.8%Match win rate · Top 50% of tracked players

35.3%Headshot %

8.9%Shot accuracy

9,028MVPs

2,052Hours (in match)

7,934Bombs planted

797Bombs defused

Most-used weapons

AWP18,221

M4A4 / M4A1-S9,453

AK-479,056

P2000 / USP-S4,736

MP94,514

MAC-104,381

MP73,704

P903,641

Glock-183,470

SSG 081,621

Lifetime map wins

50,398dust2

1,654inferno

489nuke

194train

163assault

162office

81italy

36lake

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

Faceit stats

Combat

3Matches

33%Win rate

0.45Avg K/D

45.2ADR

31%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	0%	0.50	9.0
Train	1	0%	0.12	2.0
Dust2	1	100%	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.

16.6%Headshot accuracy

30.5%Accuracy (enemy spotted)

33.7%Spray accuracy

66.2%Counter-strafing

9.6°Preaim

618msReaction time

21.7%T opening success

31.7%CT opening success

0.93Enemies flashed / flash

3.3%Flash assists

16.93HE damage / grenade

9.17Flashes / 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 21.7394% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–6	-0.04	15%	28 Aug →
dust2	1–13	-0.04	10%	26 Aug →
dust2	9–13	0.04	13%	25 Aug →
dust2	1–13	-0.04	19%	25 Aug →
dust2	5–13	-0.03	14%	25 Aug →
dust2	3–13	-0.03	13%	24 Aug →
dust2	13–7	-0.07	33%	24 Aug →
dust2	5–13	-0.08	11%	24 Aug →
dust2	13–7	0.00	14%	23 Aug →
dust2	13–7	-0.05	19%	23 Aug →
dust2	12–12	-0.05	7%	23 Aug →
dust2	9–0	-0.06	0%	23 Aug →
dust2	5–13	-0.11	14%	23 Aug →
dust2	8–13	0.00	18%	22 Aug →
dust2	8–13	0.01	22%	22 Aug →
dust2	13–2	-0.05	13%	22 Aug →
dust2	7–13	-0.06	11%	22 Aug →
dust2	13–6	-0.06	25%	22 Aug →
dust2	13–8	-0.04	13%	22 Aug →
dust2	10–13	-0.07	26%	22 Aug →
dust2	12–12	-0.02	18%	22 Aug →
dust2	13–2	0.01	23%	22 Aug →
dust2	8–13	-0.10	12%	22 Aug →
dust2	8–13	-0.02	16%	22 Aug →
dust2	13–7	-0.04	11%	22 Aug →
dust2	12–12	-0.02	23%	21 Aug →
dust2	13–0	0.06	42%	21 Aug →
dust2	13–5	0.01	12%	21 Aug →
dust2	13–10	-0.10	9%	21 Aug →
anubis	11–13	-0.06	19%	21 Aug →
dust2	13–11	-0.02	6%	21 Aug →
dust2	11–13	-0.06	12%	20 Aug →
dust2	12–12	-0.09	17%	20 Aug →
dust2	13–3	0.02	19%	20 Aug →
dust2	13–8	0.00	9%	20 Aug →
dust2	13–4	-0.06	19%	19 Aug →
dust2	13–10	-0.04	16%	19 Aug →
dust2	5–13	-0.04	16%	19 Aug →
dust2	13–6	0.02	18%	18 Aug →
dust2	13–5	-0.04	19%	18 Aug →
mirage	11–13	-0.04	20%	18 Aug →
dust2	13–4	0.05	14%	18 Aug →
dust2	13–5	-0.04	2%	18 Aug →
dust2	8–13	0.00	9%	17 Aug →
dust2	9–13	0.02	27%	17 Aug →
dust2	10–13	-0.02	8%	17 Aug →
dust2	13–5	0.09	13%	17 Aug →
dust2	13–5	0.03	16%	16 Aug →
dust2	12–12	0.09	20%	16 Aug →
dust2	5–13	-0.08	16%	16 Aug →
dust2	13–6	0.02	9%	16 Aug →
dust2	10–13	-0.08	10%	16 Aug →
dust2	13–7	0.03	12%	16 Aug →
dust2	12–12	0.04	20%	14 Aug →
dust2	7–13	0.10	18%	14 Aug →
dust2	13–11	-0.01	19%	13 Aug →
dust2	13–11	0.04	19%	13 Aug →
dust2	8–13	-0.03	29%	13 Aug →
dust2	10–13	0.12	28%	13 Aug →
dust2	13–4	0.01	25%	13 Aug →
dust2	7–13	-0.10	5%	12 Aug →
dust2	7–13	-0.10	5%	12 Aug →
dust2	7–13	-0.01	11%	12 Aug →
dust2	13–9	-0.06	22%	12 Aug →
dust2	7–13	-0.06	7%	11 Aug →
dust2	13–8	0.03	10%	11 Aug →
dust2	8–13	-0.04	13%	10 Aug →
dust2	13–2	-0.02	7%	10 Aug →
dust2	13–2	0.02	11%	10 Aug →
dust2	13–6	-0.01	17%	10 Aug →
dust2	13–7	-0.05	44%	10 Aug →
dust2	13–10	-0.04	32%	10 Aug →
dust2	13–10	-0.01	8%	10 Aug →
dust2	9–13	-0.05	16%	10 Aug →
dust2	8–13	-0.02	21%	10 Aug →
dust2	12–12	-0.04	20%	9 Aug →
dust2	7–13	0.02	16%	9 Aug →
dust2	3–13	-0.00	14%	8 Aug →
dust2	12–12	-0.04	30%	8 Aug →
dust2	13–11	-0.06	11%	8 Aug →
dust2	13–6	0.07	9%	7 Aug →
dust2	10–3	-0.04	4%	6 Aug →
dust2	8–13	-0.05	20%	6 Aug →
dust2	2–13	-0.09	42%	5 Aug →
dust2	13–9	-0.03	11%	5 Aug →
dust2	10–13	-0.09	7%	5 Aug →
dust2	10–13	-0.04	22%	5 Aug →
dust2	13–11	-0.04	8%	5 Aug →
cache	11–13	-0.04	8%	5 Aug →
dust2	7–13	-0.03	11%	4 Aug →
dust2	5–13	-0.00	30%	4 Aug →
dust2	13–6	-0.01	15%	4 Aug →
dust2	13–5	-0.02	8%	4 Aug →
dust2	13–8	0.01	10%	4 Aug →
dust2	4–13	-0.02	3%	4 Aug →
dust2	13–3	0.05	8%	4 Aug →
dust2	13–7	-0.04	18%	2 Aug →
dust2	13–10	0.03	10%	2 Aug →
dust2	7–13	0.02	20%	2 Aug →
dust2	5–13	-0.02	5%	2 Aug →