LOUISK — CS2 Stats

FR76561198203294120[U:1:243028392]Steam profile ↗✓ No bans

1,776Tracked matches47%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating23,654Top 25% of 29,473 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)

CSDB Leaderboard#10380 of 56395 tracked

FaceitLevel 10 · 2,437 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning62

Utility65

0–100 skill scores via Leetify.

Recent form

COLD48–52Last 10048%Win rateLLLLWLLWLL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim8.5

Aggression7.5

Utility6.5

Positioning6.2

Opening Duels3.3

Clutch3.0

Sharp aimerStrong CT-side opener

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 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency.

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 85 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.9° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 58% on CT to 28% 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

Aim8.5

Positioning6.2

Utility6.5

Mechanics7.1

Opening Duels3.5

Win Impact3.9

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time529ms−74ms

first ⅓ avg 603ms → last ⅓ avg 529ms

Headshot accuracy25.8%+0.7%

first ⅓ avg 25.1% → last ⅓ avg 25.8%

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

0.15Best rating — nuke 13–1

13–1Biggest win — nuke

5Longest win streak

L4Current streak

11–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 63% over 19dust2Weakest map · 41% over 34

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	34	14–20	41%	0.03
inferno	A	19	12–7	63%	0.02
nuke	B	15	7–8	47%	0.03
anubis	B	15	7–8	47%	0.00
cache	C	9	4–5	44%	0.00
mirage	B	8	4–4	50%	0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 34). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,723Matches

52%Win rate

1.14Avg K/D

78.2ADR

50%Headshot %

Clutches & streaks

35%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	145	49%	1.15	15.3
Mirage	103	50%	1.11	16.4
Inferno	101	62%	1.25	16.1
Anubis	93	55%	1.15	15.8
Nuke	46	35%	1.07	15.6
Ancient	31	65%	1.01	14.1
Overpass	18	33%	0.91	13.6
Cache	15	47%	1.19	16.5

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.

26.5%Headshot accuracy

36.7%Accuracy (enemy spotted)

38.9%Spray accuracy

82.0%Counter-strafing

10.9°Preaim

525msReaction time

28.4%T opening success

58.0%CT opening success

0.56Enemies flashed / flash

15.1%Flash assists

6.16HE damage / grenade

16.63Flashes / 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 28.3752% — below the 40% mark we flag

Spend your practice time on Dust 2

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

41% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	0.04	30%	30 Aug →
dust2	7–13	-0.03	25%	30 Aug →
nuke	10–13	0.08	39%	30 Aug →
dust2	9–13	0.02	19%	30 Aug →
dust2	19–17	0.02	19%	27 Aug →
mirage	14–16	0.06	22%	27 Aug →
anubis	15–19	0.00	17%	26 Aug →
inferno	13–11	-0.04	30%	26 Aug →
dust2	12–16	0.02	27%	25 Aug →
dust2	10–13	0.02	30%	25 Aug →
nuke	13–1	0.15	29%	25 Aug →
cache	13–8	0.12	29%	24 Aug →
dust2	16–13	0.09	31%	24 Aug →
dust2	5–13	-0.04	27%	21 Aug →
inferno	4–13	-0.03	26%	20 Aug →
anubis	8–13	-0.02	31%	20 Aug →
anubis	8–13	-0.00	31%	19 Aug →
dust2	13–11	-0.03	24%	19 Aug →
inferno	13–9	0.04	28%	19 Aug →
nuke	10–13	0.03	28%	19 Aug →
inferno	13–8	-0.02	29%	19 Aug →
anubis	13–9	0.01	28%	19 Aug →
dust2	4–7	0.01	15%	19 Aug →
dust2	4–13	0.02	32%	18 Aug →
anubis	13–10	0.10	30%	18 Aug →
inferno	13–6	0.09	20%	13 Aug →
dust2	16–19	0.02	22%	13 Aug →
dust2	13–2	0.09	30%	13 Aug →
dust2	13–8	0.04	30%	13 Aug →
dust2	13–7	0.05	25%	13 Aug →
anubis	13–3	0.02	20%	12 Aug →
inferno	14–16	0.01	22%	12 Aug →
inferno	7–13	-0.05	8%	11 Aug →
dust2	5–13	-0.01	8%	11 Aug →
inferno	2–13	-0.05	32%	10 Aug →
nuke	13–11	0.03	22%	9 Aug →
inferno	13–9	-0.04	28%	9 Aug →
dust2	8–13	-0.01	31%	9 Aug →
anubis	8–13	-0.04	32%	8 Aug →
cache	7–13	-0.05	18%	7 Aug →
inferno	13–4	0.06	36%	7 Aug →
dust2	13–9	0.06	25%	6 Aug →
mirage	13–11	0.02	25%	6 Aug →
inferno	5–13	0.05	13%	6 Aug →
cache	16–14	0.02	26%	6 Aug →
inferno	13–11	0.05	25%	6 Aug →
dust2	13–8	0.07	23%	5 Aug →
anubis	13–5	0.08	39%	4 Aug →
inferno	13–7	0.12	22%	4 Aug →
dust2	9–13	0.07	18%	4 Aug →
cache	5–13	-0.04	14%	4 Aug →
cache	5–13	-0.05	45%	4 Aug →
nuke	7–13	-0.03	34%	31 Jul →
dust2	11–13	0.05	40%	31 Jul →
nuke	13–11	0.07	25%	31 Jul →
inferno	13–9	0.01	28%	30 Jul →
anubis	13–10	0.01	19%	30 Jul →
dust2	13–9	0.06	19%	27 Jul →
cache	13–7	0.07	25%	27 Jul →
inferno	3–13	-0.08	47%	27 Jul →
nuke	16–14	0.01	27%	27 Jul →
dust2	13–6	0.04	20%	26 Jul →
dust2	5–1	0.07	45%	26 Jul →
nuke	3–13	-0.01	24%	25 Jul →
mirage	8–13	-0.00	17%	25 Jul →
mirage	13–10	0.08	26%	25 Jul →
dust2	7–13	0.03	32%	25 Jul →
inferno	13–7	0.10	31%	25 Jul →
mirage	5–0	0.12	6%	25 Jul →
mirage	13–9	0.04	25%	24 Jul →
cache	16–13	0.03	21%	24 Jul →
nuke	8–13	-0.02	20%	23 Jul →
dust2	8–13	0.01	22%	23 Jul →
anubis	13–9	0.03	17%	23 Jul →
anubis	8–13	-0.03	9%	22 Jul →
anubis	8–13	-0.03	17%	22 Jul →
anubis	5–13	-0.06	17%	21 Jul →
dust2	13–8	0.08	35%	20 Jul →
inferno	13–9	0.08	21%	20 Jul →
nuke	19–22	0.04	34%	20 Jul →
nuke	2–13	-0.06	25%	19 Jul →
anubis	13–5	0.03	39%	19 Jul →
dust2	10–13	0.08	35%	19 Jul →
nuke	13–9	0.01	22%	18 Jul →
dust2	5–13	0.03	22%	17 Jul →
nuke	13–7	0.04	38%	17 Jul →
cache	3–13	-0.03	15%	16 Jul →
inferno	13–6	0.08	30%	16 Jul →
mirage	17–19	0.04	24%	16 Jul →
dust2	5–13	-0.07	29%	16 Jul →
dust2	8–13	0.08	35%	16 Jul →
nuke	5–13	0.11	37%	15 Jul →
dust2	7–13	-0.04	16%	13 Jul →
inferno	9–13	0.03	27%	12 Jul →
anubis	7–13	-0.06	24%	12 Jul →
dust2	13–3	-0.04	33%	12 Jul →
nuke	13–11	-0.03	16%	10 Jul →
dust2	13–11	0.01	32%	10 Jul →
cache	5–13	-0.04	31%	8 Jul →
dust2	10–13	0.06	23%	6 Jul →