kempsu — CS2 Stats

76561198330985321[U:1:370719593]✓ No bans

1,293Tracked matches52%Win rate2020Tracked since

2,572Hours in CS22Hrs last 2 wks

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating25,702Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

CSDB Leaderboard#2530 of 23538 tracked

FaceitLevel 10 · 1,940 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate	66.5%	52.0%
Shot accuracy	8.1%	13.7%
Kill/death ratio	1.79	1.08
Match win rate	43.8%	48.8%

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Performance scores

Aim70

Positioning52

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateLLWLWWWWLL

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.0

Aggression6.1

Utility4.9

Positioning5.2

Opening Duels1.1

Clutch2.8

Limited 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 NiKo 86% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Areas to improve

Reaction time. 590ms 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

Aim7.0

Positioning5.2

Utility4.9

Mechanics6.1

Opening Duels1.1

Win Impact5.6

Composite 5.7/10 (Solid), 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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time616ms−13ms

first ⅓ avg 629ms → last ⅓ avg 616ms

Headshot accuracy20.0%−0.2%

first ⅓ avg 20.2% → last ⅓ avg 20.0%

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

0.14Best rating — ancient 13–1

13–1Biggest win — train

8Longest win streak

L2Current streak

7–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 71% over 14nukeWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	10–11	48%	-0.01
cache	C	18	8–10	44%	0.01
inferno	A	17	10–7	59%	0.00
anubis	S	14	10–4	71%	0.02
train	B	10	5–5	50%	-0.00
nuke	C	8	3–5	38%	0.03
ancient	S	6	4–2	67%	0.02
overpass	—	3	2–1	67%	0.04
dust2	—	3	2–1	67%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

146,945Lifetime kills

1.79K/D · Top 5% of Level 10 players

3,446Matches

43.8%Match win rate

66.5%Headshot % · Top 10% of Level 10 players

8.1%Shot accuracy

7,856MVPs

1,606Hours (in match)

1,799Bombs planted

713Bombs defused

Most-used weapons

AK-4760,317

Desert Eagle24,044

M4A4 / M4A1-S13,041

AWP10,686

P2000 / USP-S7,868

Glock-183,474

SSG 083,372

SG 5532,912

Galil AR2,850

MP91,842

Lifetime map wins

5,016inferno

4,075dust2

3,149nuke

1,602vertigo

1,415train

64cbble

54lake

52office

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

Faceit stats

Combat

570Matches

54%Win rate

1.24Avg K/D

84.5ADR

44%Headshot %

Clutches & streaks

34%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	126	53%	1.05	16.1
Inferno	82	56%	1.11	15.2
Nuke	47	47%	1.33	17.9
Anubis	47	57%	1.17	17.2
Dust2	34	56%	1.06	16.4
Ancient	27	52%	1.01	17.3
Train	14	57%	0.98	13.7
Cache	10	50%	1.38	17.4

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.

19.8%Headshot accuracy

35.1%Accuracy (enemy spotted)

41.5%Spray accuracy

77.3%Counter-strafing

11.0°Preaim

590msReaction time

36.8%T opening success

31.8%CT opening success

0.41Enemies flashed / flash

4.7%Flash assists

10.97HE damage / grenade

4.78Flashes / 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 0.4147 — 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 36.8104% — below the 40% mark we flag

Spend your practice time on Nuke

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 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	0.03	19%	26 Aug →
cache	4–13	-0.01	12%	26 Aug →
inferno	13–8	0.01	30%	25 Aug →
cache	10–13	-0.01	17%	22 Aug →
anubis	13–4	0.01	32%	22 Aug →
nuke	19–16	0.02	21%	21 Aug →
mirage	13–11	-0.03	14%	21 Aug →
anubis	13–6	0.00	31%	21 Aug →
mirage	9–13	-0.00	24%	21 Aug →
train	1–13	0.02	22%	21 Aug →
inferno	8–13	-0.02	21%	21 Aug →
train	13–1	0.10	33%	20 Aug →
inferno	13–4	0.09	16%	20 Aug →
anubis	16–13	0.04	26%	19 Aug →
inferno	4–13	-0.03	29%	19 Aug →
mirage	13–11	0.09	12%	18 Aug →
overpass	12–12	-0.02	20%	17 Aug →
inferno	16–12	0.06	18%	17 Aug →
anubis	6–13	0.04	24%	17 Aug →
inferno	13–11	0.07	16%	17 Aug →
train	11–13	-0.06	9%	15 Aug →
train	2–13	-0.09	23%	15 Aug →
inferno	2–5	-0.06	5%	14 Aug →
inferno	9–13	-0.03	16%	14 Aug →
nuke	13–10	0.09	22%	12 Aug →
mirage	11–13	-0.02	23%	10 Aug →
mirage	6–13	0.01	11%	5 Aug →
mirage	13–11	0.03	17%	3 Aug →
anubis	13–8	0.01	17%	3 Aug →
inferno	13–8	-0.01	15%	3 Aug →
mirage	13–4	0.01	23%	2 Aug →
overpass	13–8	0.13	22%	1 Aug →
cache	13–5	-0.01	21%	1 Aug →
ancient	16–14	0.06	16%	1 Aug →
mirage	13–5	-0.04	21%	1 Aug →
ancient	11–13	-0.01	18%	1 Aug →
inferno	6–13	-0.05	24%	1 Aug →
dust2	13–3	0.03	25%	31 Jul →
anubis	13–5	0.06	13%	31 Jul →
cache	15–19	0.02	27%	31 Jul →
inferno	13–1	-0.07	22%	31 Jul →
mirage	0–13	-0.12	8%	31 Jul →
dust2	13–11	0.01	19%	30 Jul →
anubis	13–9	0.04	19%	30 Jul →
mirage	10–13	0.02	14%	30 Jul →
nuke	16–12	0.08	23%	28 Jul →
cache	13–8	0.10	21%	28 Jul →
inferno	11–13	-0.07	20%	28 Jul →
mirage	2–13	-0.07	21%	27 Jul →
mirage	13–8	-0.05	21%	27 Jul →
mirage	16–12	-0.03	15%	21 Jul →
ancient	13–1	0.14	28%	21 Jul →
mirage	13–11	0.05	13%	21 Jul →
anubis	13–9	-0.05	17%	9 Jul →
cache	11–13	-0.03	16%	9 Jul →
mirage	11–13	-0.02	15%	9 Jul →
anubis	13–6	0.04	10%	9 Jul →
mirage	10–13	-0.03	19%	6 Jul →
dust2	11–13	0.02	16%	4 Jul →
cache	12–12	-0.02	11%	1 Jul →
anubis	13–6	-0.07	21%	26 Jun →
ancient	13–9	0.03	9%	26 Jun →
anubis	11–13	0.04	20%	23 Jun →
train	13–7	0.00	24%	23 Jun →
inferno	13–9	0.04	15%	23 Jun →
cache	2–13	-0.07	0%	22 Jun →
train	13–10	0.01	21%	22 Jun →
mirage	13–6	-0.04	20%	15 Jun →
ancient	13–9	-0.07	14%	15 Jun →
anubis	13–6	0.14	16%	10 Jun →
train	13–5	0.04	19%	10 Jun →
cache	13–4	0.09	21%	9 Jun →
train	13–10	-0.02	19%	9 Jun →
cache	5–0	0.07	17%	9 Jun →
nuke	2–13	-0.02	33%	8 Jun →
cache	6–13	-0.01	13%	8 Jun →
cache	13–7	-0.01	11%	4 Jun →
nuke	12–12	0.00	17%	4 Jun →
nuke	13–16	0.06	23%	3 Jun →
cache	13–7	0.10	33%	2 Jun →
mirage	13–7	0.05	22%	1 Jun →
cache	6–13	-0.04	17%	28 May →
inferno	13–7	-0.00	18%	28 May →
inferno	13–6	0.04	20%	27 May →
inferno	9–13	0.04	14%	26 May →
nuke	6–13	0.01	22%	26 May →
train	12–12	-0.06	10%	24 May →
overpass	13–8	-0.00	14%	23 May →
cache	13–4	0.08	32%	23 May →
mirage	12–12	0.04	24%	23 May →
cache	10–13	-0.02	11%	23 May →
cache	4–13	-0.06	29%	22 May →
anubis	7–13	0.04	8%	22 May →
inferno	13–10	0.01	20%	22 May →
train	8–13	0.02	24%	22 May →
anubis	8–13	-0.01	26%	21 May →
mirage	9–13	-0.04	36%	21 May →
cache	13–5	0.04	16%	21 May →
ancient	7–13	-0.00	18%	20 May →
nuke	9–13	-0.03	30%	20 May →