KingsChip2084 — CS2 Stats

US76561198172281865[U:1:212016137]Steam profile ↗

741Tracked matches40%Win rate2020Tracked since

1,383Hours in CS

CSDB Rating5.9 SolidAggressive Rifler

Premier CS Rating22,991Top 50% of 819 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)

CSDB Leaderboard#2398 of 8535 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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	Pink band median
Headshot rate	38.1%	48.1%
Shot accuracy	16.5%	12.9%
Kill/death ratio	1.21	1.08
Match win rate	52.6%	46.5%

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Performance scores

Aim71

Positioning59

Utility67

0–100 skill scores via Leetify.

Recent form

COLD46–49–5Last 10046%Win rateLLLLLWLLLW

Last 10 vs previous 10: -50pp win rate · +0.01 avg rating

Player DNA

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

Aim7.1

Aggression7.9

Utility6.7

Positioning5.9

Opening Duels3.2

Clutch10.0

Strong CT-side openerEffective flashesReliable in 1v1s

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 b1t 92% playstyle similarity

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

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

Strengths

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 54% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms 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

Aim7.1

Positioning5.9

Utility6.7

Mechanics6.4

Opening Duels3.2

Win Impact1.7

Composite 5.9/10 (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 rating0.02−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.02

Reaction time626ms−13ms

first ⅓ avg 639ms → last ⅓ avg 626ms

Headshot accuracy18.0%−0.1%

first ⅓ avg 18.2% → last ⅓ avg 18.0%

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

0.22Best rating — mirage 13–5

13–0Biggest win — cache

4Longest win streak

L5Current streak

7–11In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 60% over 10infernoWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	41	18–23	44%	0.04
mirage	B	25	12–13	48%	0.03
inferno	D	15	5–10	33%	0.02
anubis	A	10	6–4	60%	0.01
ancient	—	4	2–2	50%	0.01
cache	—	2	1–1	50%	0.01
overpass	—	1	1–0	100%	0.11
office	—	1	1–0	100%	0.08
nuke	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,238Lifetime kills

1.21K/D · Top 50% of Pink band

3,230Matches

52.6%Match win rate · Top 25% of Pink band

38.1%Headshot %

16.5%Shot accuracy · Top 25% of Pink band

11,003MVPs

1,383Hours (in match)

4,908Bombs planted

1,121Bombs defused

Most-used weapons

AK-4716,657

AWP13,408

M4A4 / M4A1-S11,431

Desert Eagle5,733

P2000 / USP-S4,916

Glock-182,630

P2502,250

SSG 081,942

P901,367

Five-SeveN1,277

Lifetime map wins

18,917dust2

5,473inferno

1,383office

1,216nuke

283cbble

237vertigo

193train

66militia

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

Faceit stats

Combat

22Matches

55%Win rate

1.18Avg K/D

87.6ADR

33%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	2	0%	0.73	16.0
Anubis	1	0%	1.24	21.0
Mirage	1	0%	1.21	29.0

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.

18.0%Headshot accuracy

37.3%Accuracy (enemy spotted)

37.1%Spray accuracy

79.0%Counter-strafing

9.2°Preaim

629msReaction time

31.7%T opening success

53.6%CT opening success

0.85Enemies flashed / flash

10.9%Flash assists

11.56HE damage / grenade

10.37Flashes / 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 31.6942% — 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.

33% win rate across 15 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
inferno	11–13	0.00	17%	25 May →
dust2	8–13	0.08	16%	25 May →
dust2	17–19	-0.02	22%	22 May →
inferno	11–13	-0.02	22%	22 May →
dust2	10–13	0.04	18%	15 May →
mirage	13–5	0.11	15%	14 May →
dust2	7–13	0.01	24%	14 May →
inferno	5–13	-0.01	11%	13 May →
mirage	9–13	-0.01	16%	13 May →
mirage	13–11	0.03	14%	6 May →
dust2	13–11	0.02	21%	6 May →
dust2	13–5	0.01	23%	5 May →
mirage	9–13	0.07	25%	5 May →
anubis	9–13	-0.00	12%	5 May →
inferno	13–9	-0.02	21%	4 May →
mirage	13–10	-0.02	14%	4 May →
mirage	13–6	0.10	19%	2 May →
anubis	13–7	0.05	16%	2 May →
dust2	10–13	-0.01	10%	2 May →
mirage	13–7	-0.04	18%	2 May →
dust2	13–6	0.06	18%	29 Apr →
cache	5–13	-0.04	16%	29 Apr →
inferno	10–13	0.04	31%	29 Apr →
ancient	16–14	0.01	19%	29 Apr →
cache	13–0	0.05	20%	29 Apr →
mirage	14–16	-0.06	12%	28 Apr →
mirage	9–13	0.02	18%	25 Apr →
dust2	7–13	-0.03	18%	25 Apr →
anubis	11–13	0.01	17%	23 Apr →
dust2	11–13	0.00	19%	21 Apr →
dust2	12–12	0.10	21%	14 Apr →
dust2	9–13	0.04	19%	12 Apr →
mirage	11–13	-0.03	15%	12 Apr →
dust2	0–6	-0.09	0%	10 Apr →
dust2	13–6	0.04	22%	9 Apr →
mirage	4–13	0.02	23%	9 Apr →
ancient	10–13	0.02	14%	8 Apr →
dust2	13–2	0.05	29%	8 Apr →
mirage	6–13	0.05	12%	8 Apr →
overpass	13–11	0.11	25%	8 Apr →
inferno	13–4	0.12	7%	6 Apr →
dust2	13–3	0.06	18%	6 Apr →
dust2	4–13	0.06	27%	1 Apr →
inferno	16–14	0.01	12%	22 Mar →
dust2	12–12	0.06	10%	21 Mar →
inferno	8–13	0.03	14%	21 Mar →
inferno	13–4	0.05	17%	20 Mar →
dust2	12–16	0.02	18%	20 Mar →
mirage	13–9	0.03	14%	20 Mar →
anubis	11–13	-0.06	13%	20 Mar →
anubis	13–10	-0.01	9%	18 Mar →
dust2	13–1	0.08	22%	18 Mar →
office	13–9	0.08	0%	18 Mar →
inferno	4–13	0.03	21%	17 Mar →
dust2	13–16	0.04	17%	16 Mar →
mirage	13–11	0.00	16%	16 Mar →
mirage	7–13	0.07	30%	16 Mar →
ancient	13–10	-0.04	25%	15 Mar →
mirage	0–13	-0.04	40%	13 Mar →
inferno	5–13	-0.05	14%	11 Mar →
mirage	5–2	-0.02	29%	11 Mar →
anubis	13–7	0.07	31%	11 Mar →
dust2	13–9	0.03	27%	11 Mar →
mirage	6–13	-0.04	8%	9 Mar →
anubis	13–10	0.05	12%	9 Mar →
dust2	13–6	0.08	18%	6 Mar →
inferno	7–13	-0.00	14%	5 Mar →
dust2	6–13	0.04	18%	21 Feb →
mirage	5–13	-0.04	19%	20 Feb →
dust2	13–5	0.04	21%	20 Feb →
nuke	5–13	0.06	18%	20 Feb →
mirage	13–8	0.10	9%	19 Feb →
dust2	13–9	-0.02	27%	19 Feb →
inferno	8–13	0.06	31%	19 Feb →
mirage	13–5	0.10	12%	19 Feb →
dust2	13–10	0.06	21%	19 Feb →
dust2	11–13	0.07	15%	17 Feb →
anubis	13–7	0.09	16%	17 Feb →
mirage	13–5	0.22	19%	17 Feb →
dust2	5–13	0.01	21%	16 Feb →
mirage	0–13	-0.03	25%	13 Feb →
anubis	1–13	-0.04	17%	13 Feb →
dust2	2–13	-0.02	27%	12 Feb →
dust2	11–13	0.06	14%	6 Feb →
dust2	13–11	0.02	16%	5 Feb →
mirage	13–10	0.03	22%	4 Feb →
anubis	13–7	-0.02	13%	4 Feb →
dust2	12–12	0.06	19%	4 Feb →
inferno	11–13	-0.03	20%	3 Feb →
dust2	13–10	0.06	11%	3 Feb →
dust2	13–10	0.08	13%	30 Jan →
dust2	9–13	0.01	13%	29 Jan →
dust2	12–12	0.07	24%	28 Jan →
dust2	13–8	0.07	17%	28 Jan →
dust2	4–13	0.03	16%	23 Jan →
dust2	13–6	0.04	19%	16 Jan →
dust2	13–10	0.08	8%	10 Jan →
inferno	13–5	0.14	17%	10 Nov →
mirage	10–13	0.05	23%	10 Nov →
ancient	12–12	0.06	22%	10 Nov →