psychovipr — CS2 Stats

76561198062128668[U:1:101862940]

598Tracked matches43%Win rate2023Tracked since

CSDB Rating3.2 Learning

Premier CS Rating3,152Grey band · top ~86.6% of ranked players (population est.)

CSDB Leaderboard#16921 of 21776 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim25

Positioning56

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateWLLWLWWLLL

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

Player DNA

Aim2.5

Aggression6.1

Utility4.3

Positioning5.6

Opening Duels2.1

Clutch0.0

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 79% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 686ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim2.5

Positioning5.6

Utility4.3

Mechanics3.9

Opening Duels2.1

Win Impact2.8

Composite 3.2/10 (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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time678ms−28ms

first ⅓ avg 707ms → last ⅓ avg 678ms

Headshot accuracy13.1%+3.5%

first ⅓ avg 9.7% → last ⅓ avg 13.1%

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

0.16Best rating — nuke 9–2

13–2Biggest win — nuke

5Longest win streak

5–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 60% over 15anubisWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	11–11	50%	0.00
nuke	D	18	5–13	28%	0.02
ancient	A	15	9–6	60%	0.01
inferno	B	15	8–7	53%	0.01
mirage	B	14	7–7	50%	-0.01
anubis	D	10	2–8	20%	-0.02
overpass	—	4	0–4	0%	-0.08
debris	—	1	0–1	0%	-0.23
vertigo	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

27Matches

19%Win rate

0.59Avg K/D

51.0ADR

29%Headshot %

Clutches & streaks

0%1v1 clutch win

8%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	7	29%	0.72	11.3
Ancient	6	33%	0.64	10.2
Nuke	6	0%	0.51	8.8
Anubis	3	0%	0.49	6.7
Vertigo	3	33%	0.58	8.0
Dust2	1	0%	0.32	8.0
Train	1	0%	0.35	6.0

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.

12.6%Headshot accuracy

32.3%Accuracy (enemy spotted)

34.7%Spray accuracy

67.5%Counter-strafing

14.0°Preaim

686msReaction time

33.0%T opening success

43.8%CT opening success

0.78Enemies flashed / flash

4.0%Flash assists

7.35HE damage / grenade

5.79Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.0292° — above the 12° mark we flag
Aim Training →
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 12.6451% — below the 15% mark we flag
Aim Training →

Spend your practice time on Anubis

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	0.00	15%	16 Aug →
ancient	8–13	-0.01	8%	9 Aug →
inferno	11–13	0.11	18%	9 Aug →
dust2	13–11	0.04	28%	9 Aug →
ancient	3–13	0.00	2%	7 Aug →
anubis	13–3	0.07	13%	7 Aug →
dust2	13–3	0.12	14%	7 Aug →
inferno	11–13	-0.04	10%	7 Aug →
mirage	14–16	-0.09	8%	4 Aug →
anubis	13–16	-0.03	8%	4 Aug →
nuke	13–7	0.03	21%	4 Aug →
mirage	13–8	-0.02	11%	4 Aug →
ancient	13–3	0.09	6%	3 Aug →
nuke	10–13	0.05	13%	31 Jul →
nuke	13–8	0.08	15%	31 Jul →
inferno	13–11	0.03	22%	31 Jul →
mirage	13–5	0.07	21%	30 Jul →
nuke	7–13	-0.00	14%	30 Jul →
nuke	8–13	0.01	4%	29 Jul →
nuke	12–16	0.06	10%	28 Jul →
nuke	14–16	-0.04	9%	28 Jul →
debris	2–9	-0.23	0%	28 Jul →
anubis	3–13	-0.05	11%	26 Jul →
ancient	13–8	-0.06	8%	26 Jul →
inferno	9–7	0.03	26%	26 Jul →
inferno	9–3	0.01	27%	26 Jul →
dust2	2–13	-0.04	10%	26 Jul →
dust2	13–6	0.00	20%	25 Jul →
nuke	13–2	-0.03	16%	25 Jul →
dust2	5–13	-0.03	15%	25 Jul →
ancient	9–13	-0.03	12%	25 Jul →
ancient	7–13	-0.06	8%	25 Jul →
nuke	14–16	0.06	11%	24 Jul →
mirage	9–13	-0.01	21%	24 Jul →
mirage	13–8	0.02	7%	21 Jul →
ancient	9–13	-0.01	9%	21 Jul →
dust2	13–7	-0.01	5%	21 Jul →
dust2	6–13	-0.04	19%	18 Jul →
ancient	13–9	0.10	7%	18 Jul →
nuke	13–9	0.12	13%	18 Jul →
ancient	13–7	0.11	8%	17 Jul →
inferno	3–13	0.01	11%	17 Jul →
dust2	6–13	-0.01	15%	12 Jul →
dust2	13–8	-0.00	11%	11 Jul →
mirage	13–11	0.13	10%	4 Jul →
dust2	2–13	0.02	11%	4 Jul →
dust2	13–6	0.02	17%	4 Jul →
dust2	13–7	0.03	0%	4 Jul →
nuke	15–15	-0.10	8%	3 Jul →
anubis	4–13	-0.06	3%	28 Jun →
mirage	11–13	-0.07	26%	28 Jun →
inferno	11–13	-0.02	12%	28 Jun →
nuke	9–13	-0.05	8%	27 Jun →
overpass	11–13	-0.09	13%	27 Jun →
dust2	5–13	-0.02	0%	27 Jun →
nuke	2–13	-0.05	8%	27 Jun →
ancient	13–9	-0.03	10%	27 Jun →
nuke	9–2	0.16	8%	26 Jun →
vertigo	6–9	-0.09	25%	26 Jun →
overpass	5–13	-0.09	7%	26 Jun →
mirage	13–3	0.00	12%	26 Jun →
dust2	10–13	-0.03	9%	25 Jun →
anubis	8–13	-0.06	13%	25 Jun →
mirage	4–13	-0.05	14%	25 Jun →
anubis	10–13	-0.01	11%	24 Jun →
inferno	13–8	-0.04	7%	24 Jun →
anubis	15–15	-0.03	11%	19 Jun →
dust2	5–13	-0.08	17%	19 Jun →
ancient	8–13	-0.06	7%	19 Jun →
inferno	7–9	-0.13	4%	19 Jun →
nuke	9–13	-0.05	3%	18 Jun →
inferno	8–13	-0.01	9%	18 Jun →
mirage	7–13	-0.05	10%	18 Jun →
nuke	9–13	0.01	7%	18 Jun →
mirage	13–6	0.00	10%	18 Jun →
ancient	13–6	0.02	11%	15 Jun →
inferno	13–11	0.12	10%	15 Jun →
dust2	12–8	-0.08	6%	13 Jun →
ancient	13–9	0.05	7%	13 Jun →
anubis	9–13	-0.04	13%	11 Jun →
inferno	16–12	0.00	12%	11 Jun →
anubis	13–3	0.08	16%	11 Jun →
inferno	13–8	0.02	5%	10 Jun →
mirage	9–13	-0.05	9%	10 Jun →
dust2	13–5	0.02	12%	10 Jun →
inferno	13–4	-0.00	18%	9 Jun →
dust2	13–3	0.03	6%	9 Jun →
inferno	15–15	0.07	10%	8 Jun →
overpass	3–13	-0.06	7%	6 Jun →
anubis	8–13	-0.04	11%	6 Jun →
dust2	8–13	-0.01	9%	6 Jun →
nuke	5–13	0.00	9%	6 Jun →
overpass	4–13	-0.08	2%	6 Jun →
ancient	13–4	-0.02	19%	6 Jun →
ancient	13–10	-0.00	14%	4 Jun →
mirage	7–13	-0.02	3%	4 Jun →
nuke	14–16	0.05	6%	4 Jun →
dust2	7–13	0.07	15%	4 Jun →
dust2	13–8	0.05	9%	4 Jun →
dust2	4–13	-0.03	15%	3 Jun →