[SLIP] Kaps 🖤 — CS2 Stats

FR76561197960285831[U:1:20103]Steam profile ↗✓ No bans

405Tracked matches36%Win rate2021Tracked since

3,751Hours in CS16Hrs last 2 wks

CSDB Rating4.0 DevelopingPositional Player

Premier CS Rating7,362Light Blue band · top ~67.5% of ranked players (population est.)

CSDB Leaderboard#179494 of 238761 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 405 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 18 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 7,362 -3,846 18 Jul – 31 Aug · 32 days played

11,315Peak Premier in tracked matches

32Days played since 2026-07-18

Premier CS Rating

3,846 below peak (11,208)
-2,637 over 30 days · declining
Next: Blue band at 10,000 — 2,638 to go
Reached: Blue band · Light Blue band
Light Blue band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,407), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 4 median	Level 5 median	vs Level 5
Headshot rate	51.0%	42.7%	43.8%	above
Shot accuracy	21.4%	11.3%	12.0%	above
Kill/death ratio	0.98	0.99	1.02	0.03 short
Match win rate	38.3%	43.9%	44.7%	6.4% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim73

Positioning37

Utility10

0–100 skill scores via Leetify.

Recent form

STEADY30–67–3Last 10030%Win rateWWLWLLLLWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +6.8pp headshot accuracy · +27ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 25%
Avg reaction 623ms

Last 10

4–6 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 26%
Avg reaction 638ms

Last 20

6–13–1 · 30% win rate
Avg rating -0.04
Avg headshot accuracy 23%
Avg reaction 624ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim7.3

Utility1.0

Positioning3.7

Opening Duels0.7

Strong 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ropz 81% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower 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

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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 41% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.3

Positioning3.7

Utility1.0

Mechanics7.9

Opening Duels1.3

Win Impact0.2

Composite 4.0/10 (Developing), 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 time622ms−71ms

first ⅓ avg 693ms → last ⅓ avg 622ms

Headshot accuracy20.5%+0.9%

first ⅓ avg 19.6% → last ⅓ avg 20.5%

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.

Personal bests

0.09Best match rating · 13–9 · ancient, 28 Jul →

33%Best headshot accuracy · 11–13 · inferno, 7 Aug →

438msFastest reaction time · 5–2 · dust2, 13 Aug →

13–0Biggest win · anubis, 31 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak

W2Current streak

6–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 67% over 6dust2Weakest map · 20% over 40

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	40	8–32	20%	-0.03
ancient	D	16	4–12	25%	-0.03
cache	C	14	6–8	43%	-0.01
inferno	D	13	4–9	31%	-0.06
nuke	D	8	2–6	25%	-0.00
anubis	S	6	4–2	67%	-0.01
italy	—	1	1–0	100%	-0.03
train	—	1	0–1	0%	-0.04
mirage	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 40). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

130,293Lifetime kills

0.98K/D

7,133Matches

38.3%Match win rate

51.0%Headshot % · Top 25% of Level 4 players

21.4%Shot accuracy · Top 5% of Level 4 players

9,850MVPs

2,312Hours (in match)

3,489Bombs planted

746Bombs defused

Most-used weapons

AK-4759,082

M4A4 / M4A1-S27,200

Desert Eagle16,925

AWP10,863

FAMAS3,611

P2000 / USP-S1,829

Galil AR1,374

MP71,180

P2501,150

Knife839

Lifetime map wins

10,470dust2

3,578inferno

2,175nuke

1,367italy

1,147cbble

1,064train

570office

569dust

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.0%Headshot accuracy

33.3%Accuracy (enemy spotted)

35.5%Spray accuracy

85.5%Counter-strafing

9.4°Preaim

623msReaction time

23.5%T opening success

40.6%CT opening success

0.02Enemies flashed / flash

0.0%Flash assists

9.22HE damage / grenade

0.52Flashes / 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 0.0198 — 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 23.4807% — 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.

20% win rate across 40 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
dust2	12–6	-0.03	15%	22 Aug →
anubis	13–11	-0.03	26%	22 Aug →
dust2	9–13	-0.02	31%	22 Aug →
italy	13–3	-0.03	27%	21 Aug →
cache	5–13	-0.02	28%	21 Aug →
ancient	9–13	-0.11	25%	21 Aug →
dust2	7–13	-0.05	27%	21 Aug →
dust2	5–13	-0.06	22%	20 Aug →
cache	13–11	-0.02	33%	20 Aug →
train	0–13	-0.04	28%	17 Aug →
ancient	4–13	-0.06	13%	17 Aug →
dust2	4–13	-0.06	29%	17 Aug →
anubis	2–13	-0.08	13%	16 Aug →
anubis	13–9	-0.02	23%	15 Aug →
dust2	7–13	-0.03	26%	15 Aug →
dust2	5–13	-0.04	16%	15 Aug →
inferno	6–13	-0.02	15%	15 Aug →
cache	12–12	-0.02	10%	15 Aug →
dust2	13–8	-0.06	26%	15 Aug →
dust2	9–13	-0.01	23%	15 Aug →
ancient	8–13	-0.11	9%	14 Aug →
dust2	5–13	-0.06	12%	14 Aug →
dust2	15–15	-0.03	28%	14 Aug →
ancient	9–13	-0.02	19%	14 Aug →
dust2	5–13	0.00	13%	14 Aug →
cache	13–10	-0.06	18%	13 Aug →
inferno	10–13	-0.08	16%	13 Aug →
dust2	5–2	-0.02	19%	13 Aug →
dust2	13–9	-0.01	21%	12 Aug →
cache	16–14	-0.01	17%	12 Aug →
ancient	5–13	-0.07	13%	11 Aug →
ancient	5–13	-0.02	8%	11 Aug →
cache	13–5	0.06	29%	11 Aug →
ancient	3–13	-0.07	15%	11 Aug →
dust2	13–8	-0.03	22%	10 Aug →
inferno	10–13	-0.06	17%	10 Aug →
mirage	13–7	-0.02	22%	9 Aug →
dust2	6–13	-0.01	17%	9 Aug →
inferno	5–13	-0.11	22%	9 Aug →
inferno	13–5	0.02	29%	8 Aug →
cache	7–13	-0.07	24%	8 Aug →
inferno	13–8	-0.06	12%	8 Aug →
dust2	10–13	-0.02	15%	8 Aug →
ancient	13–6	-0.01	14%	8 Aug →
inferno	5–13	-0.03	17%	8 Aug →
nuke	3–13	-0.09	17%	8 Aug →
inferno	11–13	-0.09	33%	7 Aug →
dust2	8–13	0.01	27%	7 Aug →
inferno	7–13	-0.07	16%	6 Aug →
ancient	13–2	-0.04	16%	6 Aug →
dust2	12–12	-0.01	18%	6 Aug →
cache	6–13	-0.05	16%	6 Aug →
inferno	6–13	-0.07	10%	5 Aug →
ancient	11–13	0.01	30%	5 Aug →
ancient	7–13	0.01	15%	5 Aug →
dust2	13–8	0.02	19%	4 Aug →
ancient	3–13	-0.11	15%	4 Aug →
anubis	8–13	0.02	20%	3 Aug →
cache	7–13	0.03	20%	3 Aug →
dust2	4–13	-0.03	7%	3 Aug →
dust2	6–13	-0.02	19%	2 Aug →
cache	16–13	0.03	21%	1 Aug →
nuke	13–6	-0.02	22%	1 Aug →
inferno	13–8	-0.02	16%	1 Aug →
cache	13–11	-0.00	22%	1 Aug →
dust2	3–13	0.04	22%	1 Aug →
dust2	13–7	0.02	24%	1 Aug →
nuke	6–13	-0.04	11%	1 Aug →
ancient	10–13	0.02	6%	31 Jul →
cache	7–13	-0.04	28%	31 Jul →
ancient	16–12	0.01	20%	31 Jul →
anubis	16–14	-0.02	26%	31 Jul →
anubis	13–0	0.06	18%	31 Jul →
inferno	11–13	-0.07	16%	30 Jul →
dust2	16–13	0.04	28%	30 Jul →
ancient	13–9	0.09	18%	28 Jul →
cache	12–16	0.01	16%	28 Jul →
dust2	10–13	0.01	19%	28 Jul →
dust2	8–13	-0.02	19%	27 Jul →
ancient	9–13	0.01	22%	27 Jul →
dust2	5–13	-0.09	14%	27 Jul →
nuke	13–9	0.08	26%	26 Jul →
dust2	5–13	-0.03	18%	26 Jul →
dust2	3–13	-0.05	12%	25 Jul →
dust2	7–13	-0.09	21%	25 Jul →
inferno	13–11	-0.08	13%	25 Jul →
dust2	8–13	-0.05	19%	24 Jul →
nuke	9–13	0.01	31%	24 Jul →
dust2	8–13	0.00	28%	24 Jul →
nuke	6–13	-0.01	22%	24 Jul →
cache	8–13	-0.01	32%	23 Jul →
dust2	11–13	-0.03	18%	23 Jul →
nuke	11–13	0.01	11%	23 Jul →
dust2	11–13	-0.07	19%	22 Jul →
dust2	11–13	0.01	28%	22 Jul →
nuke	4–13	0.04	16%	21 Jul →
dust2	5–13	-0.06	16%	21 Jul →
dust2	6–13	-0.08	24%	19 Jul →
dust2	2–13	-0.09	13%	18 Jul →
dust2	8–13	0.00	20%	18 Jul →