Prism — CS2 Stats

VC76561198215042619[U:1:254776891]Steam profile ↗✓ No bans

2,365Tracked matches54%Win rate2020Tracked since

CSDB Rating7.5 StrongAggressive Rifler

Premier CS Rating25,000Top 25% of 44,590 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#7076 of 60493 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim93

Positioning66

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–42–8Last 10050%Win rateLLLWWTLWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

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

Aim9.3

Aggression9.7

Utility5.6

Positioning6.6

Opening Duels4.7

Clutch0.0

Sharp aimerStrong CT-side openerLimited utility dependence

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 sh1ro 96% playstyle similarity

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

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 93 — the mechanical foundation is a clear strength.

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 58% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.3

Positioning6.6

Utility5.6

Mechanics7.2

Opening Duels4.7

Win Impact6.2

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time503ms−43ms

first ⅓ avg 546ms → last ⅓ avg 503ms

Headshot accuracy18.7%+2.5%

first ⅓ avg 16.3% → last ⅓ avg 18.7%

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 — ancient 13–5

13–0Biggest win — anubis

5Longest win streak

L3Current streak

10–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 67% over 12infernoWeakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	21	8–13	38%	0.03
mirage	B	19	10–9	53%	0.05
dust2	A	16	9–7	56%	0.02
cache	C	12	5–7	42%	0.02
anubis	S	12	8–4	67%	0.04
ancient	B	11	5–6	45%	0.01
nuke	C	5	2–3	40%	0.03
overpass	—	4	3–1	75%	0.04

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

920Matches

52%Win rate

1.21Avg K/D

82.1ADR

34%Headshot %

Clutches & streaks

0%1v1 clutch win

50%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	1.40	23.0
Anubis	2	50%	0.90	17.5
Inferno	2	0%	1.18	26.0

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.

19.3%Headshot accuracy

40.6%Accuracy (enemy spotted)

45.3%Spray accuracy

82.2%Counter-strafing

7.3°Preaim

492msReaction time

39.9%T opening success

57.8%CT opening success

0.57Enemies flashed / flash

12.4%Flash assists

11.88HE damage / grenade

4.46Flashes / 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 39.8869% — 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
mirage	11–13	0.01	14%	30 Aug →
inferno	5–13	-0.01	16%	30 Aug →
ancient	11–13	-0.00	24%	30 Aug →
ancient	13–6	0.02	15%	27 Aug →
cache	13–3	0.03	19%	27 Aug →
dust2	15–15	0.01	29%	27 Aug →
cache	8–13	-0.04	12%	26 Aug →
inferno	13–5	0.15	37%	26 Aug →
mirage	13–11	0.07	18%	24 Aug →
dust2	13–4	0.05	4%	24 Aug →
mirage	9–13	-0.02	22%	23 Aug →
cache	10–13	0.03	33%	23 Aug →
inferno	7–13	-0.03	4%	23 Aug →
anubis	6–13	-0.02	21%	21 Aug →
inferno	11–13	0.02	22%	21 Aug →
ancient	13–11	0.04	23%	21 Aug →
mirage	13–4	0.10	8%	21 Aug →
anubis	13–9	0.04	11%	19 Aug →
ancient	13–11	0.00	25%	19 Aug →
inferno	2–13	-0.00	17%	19 Aug →
dust2	13–11	0.03	26%	17 Aug →
ancient	5–13	0.01	6%	17 Aug →
mirage	7–13	-0.04	18%	17 Aug →
cache	15–15	0.02	29%	12 Aug →
anubis	13–8	0.04	13%	12 Aug →
inferno	4–13	-0.10	15%	12 Aug →
mirage	13–3	0.09	23%	12 Aug →
anubis	13–0	0.03	9%	12 Aug →
mirage	12–4	0.14	21%	10 Aug →
cache	13–9	0.00	24%	10 Aug →
inferno	13–7	0.02	20%	10 Aug →
cache	15–15	0.02	18%	10 Aug →
nuke	15–15	0.01	24%	3 Aug →
mirage	13–8	-0.01	15%	3 Aug →
anubis	13–8	0.10	9%	3 Aug →
mirage	5–13	-0.00	18%	30 Jul →
cache	13–11	0.02	28%	30 Jul →
dust2	8–13	0.04	37%	27 Jul →
ancient	13–5	0.19	14%	27 Jul →
mirage	13–9	0.11	15%	27 Jul →
dust2	7–13	-0.02	25%	26 Jul →
inferno	13–7	0.11	9%	26 Jul →
cache	8–13	-0.02	32%	26 Jul →
anubis	10–13	0.05	31%	24 Jul →
cache	15–15	0.12	17%	24 Jul →
inferno	13–11	0.04	11%	24 Jul →
mirage	15–15	0.11	10%	24 Jul →
dust2	13–7	0.02	5%	20 Jul →
mirage	13–9	0.08	12%	20 Jul →
cache	13–3	0.04	12%	19 Jul →
ancient	14–16	-0.02	14%	19 Jul →
mirage	13–9	0.11	13%	19 Jul →
anubis	13–0	0.09	19%	19 Jul →
mirage	11–13	0.02	24%	18 Jul →
inferno	10–13	0.02	19%	17 Jul →
nuke	13–4	0.09	0%	17 Jul →
ancient	9–13	0.03	12%	17 Jul →
cache	10–3	0.02	40%	17 Jul →
mirage	13–3	0.08	11%	17 Jul →
dust2	13–11	-0.03	38%	11 Jul →
inferno	5–13	0.03	12%	11 Jul →
cache	10–13	0.01	9%	2 Jul →
inferno	12–16	-0.05	10%	1 Jul →
anubis	6–13	-0.00	4%	29 Jun →
ancient	13–10	-0.05	27%	29 Jun →
dust2	8–13	0.10	20%	29 Jun →
inferno	8–13	0.09	20%	29 Jun →
anubis	13–4	0.01	16%	28 Jun →
dust2	13–10	0.02	0%	28 Jun →
mirage	2–13	-0.05	15%	28 Jun →
overpass	13–11	0.05	13%	28 Jun →
dust2	13–6	0.02	17%	21 Jun →
overpass	7–13	-0.04	24%	21 Jun →
inferno	4–13	-0.03	10%	20 Jun →
mirage	7–13	0.13	17%	20 Jun →
dust2	13–11	0.06	22%	19 Jun →
inferno	13–11	0.13	15%	19 Jun →
inferno	15–15	-0.00	7%	17 Jun →
mirage	13–9	0.12	19%	17 Jun →
nuke	4–13	-0.02	3%	17 Jun →
inferno	5–13	0.00	29%	16 Jun →
dust2	15–15	-0.02	24%	16 Jun →
inferno	13–10	0.04	13%	15 Jun →
inferno	13–5	0.01	7%	14 Jun →
anubis	13–4	0.12	10%	14 Jun →
dust2	13–9	0.05	15%	14 Jun →
overpass	13–7	0.08	12%	14 Jun →
dust2	10–13	0.01	23%	13 Jun →
nuke	13–9	0.10	33%	12 Jun →
anubis	8–13	0.02	15%	12 Jun →
inferno	8–13	0.05	13%	12 Jun →
mirage	7–13	-0.04	13%	12 Jun →
ancient	4–13	-0.05	30%	12 Jun →
inferno	13–7	0.09	12%	10 Jun →
anubis	13–5	0.03	19%	10 Jun →
dust2	9–13	0.06	26%	10 Jun →
overpass	13–9	0.08	24%	7 Jun →
dust2	13–10	0.01	15%	7 Jun →
nuke	9–13	-0.02	11%	6 Jun →
ancient	5–13	-0.06	16%	6 Jun →