senolapse — CS2 Stats

NZ76561198014901087[U:1:54635359]Steam profile ↗✓ No bans

2,103Tracked matches52%Win rate2020Tracked since

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating21,962Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)

CSDB Leaderboard#7398 of 23789 tracked

FaceitLevel 6 · 1,359 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning59

Utility61

0–100 skill scores via Leetify.

Recent form

COLD49–46–5Last 10049%Win rateLLWLLLWWLT

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

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

Aim8.2

Aggression6.7

Utility6.1

Positioning5.9

Opening Duels3.5

Clutch2.6

Strong 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 iM 95% playstyle similarity

Most alike: utility contribution, 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

Areas to improve

T-side openings. Opening success drops from 58% on CT to 30% 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

Aim8.2

Positioning5.9

Utility6.1

Mechanics7.9

Opening Duels3.5

Win Impact5.6

Composite 6.8/10 (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 rating0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time517ms−22ms

first ⅓ avg 539ms → last ⅓ avg 517ms

Headshot accuracy18.9%−2.8%

first ⅓ avg 21.7% → last ⅓ avg 18.9%

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

0.17Best rating — ancient 13–2

13–0Biggest win — inferno

5Longest win streak

L2Current streak

8–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

cacheBest map · 86% over 7dust2Weakest map · 11% over 18

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	23	13–10	57%	0.00
ancient	B	19	10–9	53%	0.01
dust2	D	18	2–16	11%	-0.01
inferno	A	12	7–5	58%	0.01
nuke	A	11	6–5	55%	-0.01
anubis	A	9	5–4	56%	-0.01
cache	S	7	6–1	86%	0.03
vertigo	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

809Matches

52%Win rate

1.07Avg K/D

77.1ADR

43%Headshot %

Clutches & streaks

33%1v1 clutch win

10%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	55%	0.85	11.0
Inferno	9	56%	1.18	15.0
Dust2	8	50%	0.76	13.6
Anubis	8	75%	1.07	16.3
Ancient	6	33%	1.22	13.5
Vertigo	3	67%	1.25	16.3
Nuke	3	100%	1.08	14.7

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.

18.5%Headshot accuracy

35.2%Accuracy (enemy spotted)

40.5%Spray accuracy

85.7%Counter-strafing

9.8°Preaim

519msReaction time

30.1%T opening success

57.7%CT opening success

0.50Enemies flashed / flash

6.9%Flash assists

11.11HE damage / grenade

8.30Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4974 — below the 0.5 mark we flag
Grenade Lineups →
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 30.1202% — 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.

11% win rate across 18 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
inferno	10–13	0.02	21%	29 Aug →
inferno	10–13	-0.01	16%	29 Aug →
ancient	13–3	0.10	29%	29 Aug →
dust2	10–13	-0.04	3%	29 Aug →
ancient	13–16	-0.01	17%	29 Aug →
mirage	7–13	-0.03	5%	29 Aug →
inferno	13–5	0.00	15%	28 Aug →
nuke	13–5	0.02	37%	28 Aug →
dust2	9–13	-0.08	21%	28 Aug →
dust2	15–15	0.09	21%	28 Aug →
mirage	0–7	-0.06	27%	27 Aug →
dust2	13–8	0.01	15%	27 Aug →
mirage	13–4	0.03	23%	27 Aug →
dust2	12–16	-0.02	14%	27 Aug →
ancient	13–9	0.00	19%	26 Aug →
dust2	4–13	0.01	26%	26 Aug →
ancient	13–2	0.17	12%	26 Aug →
inferno	13–9	0.01	19%	26 Aug →
nuke	13–6	-0.02	17%	26 Aug →
dust2	13–6	0.02	30%	26 Aug →
dust2	14–16	-0.04	16%	26 Aug →
mirage	13–10	0.03	24%	25 Aug →
mirage	13–4	0.14	23%	25 Aug →
mirage	4–13	-0.06	21%	25 Aug →
dust2	10–13	-0.01	8%	25 Aug →
nuke	16–14	-0.04	11%	24 Aug →
anubis	13–2	0.01	13%	24 Aug →
nuke	12–16	-0.05	21%	6 Aug →
ancient	11–13	-0.07	26%	6 Aug →
anubis	13–9	0.00	20%	6 Aug →
inferno	13–11	0.01	26%	2 Aug →
mirage	13–8	0.04	15%	2 Aug →
inferno	14–16	-0.01	14%	1 Aug →
cache	16–14	0.01	23%	1 Aug →
anubis	15–15	0.00	8%	1 Aug →
vertigo	5–13	-0.04	28%	1 Aug →
dust2	12–12	0.04	34%	1 Aug →
mirage	8–13	-0.02	19%	31 Jul →
mirage	13–11	0.04	13%	31 Jul →
inferno	8–3	-0.06	7%	31 Jul →
mirage	10–13	-0.02	17%	31 Jul →
cache	13–11	-0.04	10%	31 Jul →
cache	16–13	0.00	16%	30 Jul →
dust2	8–13	-0.01	19%	30 Jul →
mirage	11–13	-0.02	14%	29 Jul →
nuke	8–13	-0.03	15%	29 Jul →
inferno	13–0	0.01	25%	29 Jul →
ancient	11–13	-0.05	13%	28 Jul →
ancient	13–6	0.01	11%	28 Jul →
dust2	8–13	-0.03	25%	27 Jul →
anubis	3–13	-0.06	17%	27 Jul →
nuke	6–13	0.03	27%	27 Jul →
mirage	13–5	0.00	12%	27 Jul →
mirage	13–8	0.00	16%	27 Jul →
anubis	13–10	0.00	6%	27 Jul →
dust2	3–13	-0.03	19%	27 Jul →
mirage	11–13	-0.06	17%	27 Jul →
nuke	12–12	0.06	34%	26 Jul →
dust2	9–13	-0.02	25%	25 Jul →
anubis	0–13	-0.04	19%	25 Jul →
mirage	13–8	0.02	20%	25 Jul →
inferno	13–2	0.16	25%	25 Jul →
mirage	7–13	0.02	13%	25 Jul →
inferno	10–13	0.00	20%	25 Jul →
mirage	10–13	0.06	27%	25 Jul →
ancient	13–8	-0.02	29%	25 Jul →
ancient	4–13	-0.04	13%	25 Jul →
mirage	16–12	-0.05	18%	25 Jul →
dust2	8–13	0.00	20%	23 Jul →
anubis	13–6	0.03	4%	23 Jul →
cache	9–13	-0.02	23%	22 Jul →
ancient	4–13	-0.03	22%	22 Jul →
dust2	11–13	-0.04	20%	22 Jul →
inferno	9–13	-0.04	21%	22 Jul →
anubis	13–11	-0.08	18%	22 Jul →
ancient	13–10	0.01	21%	22 Jul →
nuke	13–8	-0.05	23%	22 Jul →
mirage	13–7	0.10	21%	21 Jul →
nuke	13–3	0.06	33%	21 Jul →
anubis	13–16	0.04	15%	21 Jul →
mirage	13–7	0.03	14%	21 Jul →
dust2	3–13	-0.08	17%	21 Jul →
nuke	13–7	-0.03	13%	20 Jul →
ancient	13–10	0.01	18%	20 Jul →
cache	13–11	0.03	25%	20 Jul →
mirage	0–13	-0.04	40%	19 Jul →
ancient	13–9	-0.02	16%	19 Jul →
ancient	5–13	-0.03	15%	19 Jul →
dust2	11–13	0.01	27%	19 Jul →
ancient	13–6	0.05	18%	19 Jul →
mirage	13–5	-0.01	12%	19 Jul →
ancient	13–8	0.13	23%	18 Jul →
inferno	13–11	0.00	20%	18 Jul →
nuke	0–13	-0.08	0%	18 Jul →
ancient	0–13	-0.06	0%	18 Jul →
cache	13–6	0.06	41%	18 Jul →
mirage	13–6	-0.04	24%	18 Jul →
ancient	0–13	-0.02	100%	18 Jul →
ancient	15–15	0.01	24%	18 Jul →
cache	13–2	0.13	13%	18 Jul →