kibmaj666 — CS2 Stats

76561199066134199[U:1:1105868471]✓ No bans

1,167Tracked matches38%Win rate2020Tracked since

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating21,763Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)

CSDB Leaderboard#13297 of 46073 tracked

FaceitLevel 8 · 1,381 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning57

Utility55

0–100 skill scores via Leetify.

Recent form

COLD41–53–6Last 10041%Win rateLLTWLWLLLT

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

Player DNA

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

Aim8.8

Aggression7.8

Utility5.5

Positioning5.7

Opening Duels3.0

Clutch3.6

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 b1t 95% playstyle similarity

Most alike: opening-duel success, 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 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 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 53% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim8.8

Positioning5.7

Utility5.5

Mechanics8.0

Opening Duels3.0

Win Impact1.2

Composite 6.3/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time609ms+29ms

first ⅓ avg 580ms → last ⅓ avg 609ms

Headshot accuracy27.1%+4.5%

first ⅓ avg 22.5% → last ⅓ avg 27.1%

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 — inferno 9–2

13–2Biggest win — ancient

6Longest win streak

L2Current streak

8–4In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 57% over 7nukeWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	28	11–17	39%	0.01
dust2	C	22	8–14	36%	0.02
cache	C	12	5–7	42%	0.01
ancient	B	11	5–6	45%	0.01
anubis	B	10	5–5	50%	0.00
nuke	D	9	2–7	22%	-0.01
inferno	A	7	4–3	57%	0.03
vertigo	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

213Matches

55%Win rate

1.25Avg K/D

85.0ADR

53%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	61	54%	1.30	17.8
Dust2	54	57%	1.21	15.8
Ancient	19	47%	1.21	19.4
Anubis	16	62%	1.20	17.0
Nuke	14	50%	1.08	16.9
Inferno	10	60%	1.08	17.4
Overpass	6	67%	1.40	20.0
Cache	5	80%	1.47	19.8

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.

25.4%Headshot accuracy

36.6%Accuracy (enemy spotted)

41.4%Spray accuracy

86.0%Counter-strafing

8.0°Preaim

593msReaction time

30.9%T opening success

53.2%CT opening success

0.51Enemies flashed / flash

3.8%Flash assists

10.47HE damage / grenade

11.83Flashes / 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 30.9398% — 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.

22% win rate across 9 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
ancient	9–13	-0.03	13%	29 Aug →
mirage	11–13	0.02	29%	28 Aug →
cache	12–12	0.06	24%	27 Aug →
cache	13–9	0.01	33%	27 Aug →
nuke	2–5	-0.01	20%	27 Aug →
anubis	13–8	0.01	29%	24 Aug →
ancient	8–13	-0.04	14%	20 Aug →
nuke	10–13	0.04	38%	20 Aug →
anubis	9–13	-0.04	19%	17 Aug →
mirage	15–15	-0.01	13%	16 Aug →
nuke	15–15	0.03	21%	16 Aug →
mirage	9–13	0.04	21%	16 Aug →
mirage	9–13	0.03	32%	14 Aug →
mirage	13–8	-0.02	21%	14 Aug →
dust2	6–13	0.08	37%	13 Aug →
mirage	13–11	-0.01	36%	13 Aug →
anubis	8–13	0.05	26%	10 Aug →
dust2	13–6	-0.11	50%	8 Aug →
ancient	15–15	-0.00	23%	6 Aug →
mirage	10–13	0.05	18%	6 Aug →
mirage	13–9	0.03	19%	2 Aug →
mirage	11–13	-0.02	37%	2 Aug →
inferno	13–9	-0.02	16%	2 Aug →
dust2	7–13	0.00	20%	1 Aug →
inferno	1–9	-0.08	75%	31 Jul →
dust2	7–13	0.11	27%	31 Jul →
inferno	9–2	0.15	20%	30 Jul →
vertigo	13–7	0.05	38%	30 Jul →
ancient	13–8	0.00	26%	25 Jul →
anubis	13–5	0.09	28%	25 Jul →
nuke	6–13	-0.04	32%	24 Jul →
cache	10–13	0.00	22%	23 Jul →
nuke	2–13	-0.05	19%	23 Jul →
mirage	6–13	0.06	58%	23 Jul →
anubis	2–13	-0.10	29%	22 Jul →
mirage	10–13	0.06	26%	22 Jul →
dust2	16–14	-0.00	41%	22 Jul →
mirage	8–13	-0.04	17%	21 Jul →
dust2	13–10	-0.05	19%	20 Jul →
inferno	4–9	0.07	30%	18 Jul →
cache	6–13	-0.05	36%	18 Jul →
mirage	2–1	0.11	100%	18 Jul →
ancient	10–13	0.12	24%	17 Jul →
dust2	5–13	0.02	39%	15 Jul →
cache	13–7	0.01	19%	14 Jul →
dust2	13–3	0.04	25%	14 Jul →
anubis	9–13	0.02	21%	14 Jul →
cache	4–13	0.01	30%	13 Jul →
nuke	12–16	-0.03	24%	12 Jul →
mirage	5–13	0.02	23%	12 Jul →
ancient	13–2	-0.07	8%	11 Jul →
inferno	13–11	0.01	18%	11 Jul →
dust2	4–13	-0.03	31%	11 Jul →
mirage	3–13	-0.08	29%	11 Jul →
nuke	13–10	0.02	36%	11 Jul →
ancient	8–13	0.08	31%	11 Jul →
ancient	13–10	-0.02	33%	11 Jul →
mirage	5–13	-0.05	20%	11 Jul →
inferno	13–7	0.08	30%	11 Jul →
dust2	13–9	-0.03	35%	10 Jul →
anubis	13–11	-0.02	28%	10 Jul →
cache	13–9	0.02	32%	10 Jul →
mirage	13–11	0.07	35%	9 Jul →
dust2	13–9	0.08	22%	9 Jul →
cache	5–13	0.08	28%	9 Jul →
mirage	13–7	0.12	29%	9 Jul →
dust2	8–13	-0.02	23%	4 Jul →
dust2	10–13	-0.00	33%	3 Jul →
dust2	5–13	0.10	27%	3 Jul →
mirage	5–13	0.00	20%	3 Jul →
mirage	13–10	-0.00	30%	3 Jul →
nuke	13–10	-0.01	26%	3 Jul →
mirage	10–13	-0.03	19%	2 Jul →
dust2	15–15	0.01	26%	1 Jul →
anubis	13–10	0.08	21%	1 Jul →
mirage	1–13	-0.12	14%	1 Jul →
dust2	11–13	0.04	23%	1 Jul →
inferno	9–13	-0.03	35%	1 Jul →
cache	13–5	0.03	32%	1 Jul →
dust2	13–5	0.13	25%	1 Jul →
mirage	6–13	-0.01	9%	1 Jul →
ancient	13–8	0.03	23%	1 Jul →
ancient	13–16	-0.04	14%	1 Jul →
mirage	10–13	-0.04	26%	30 Jun →
cache	9–13	-0.02	21%	30 Jun →
mirage	13–5	0.01	16%	26 Jun →
mirage	10–1	-0.04	20%	26 Jun →
cache	5–9	-0.04	47%	26 Jun →
dust2	15–15	-0.00	27%	26 Jun →
dust2	4–13	-0.03	14%	26 Jun →
dust2	13–3	0.12	16%	25 Jun →
anubis	13–11	0.01	24%	25 Jun →
mirage	16–14	0.05	24%	25 Jun →
dust2	6–13	-0.09	14%	24 Jun →
mirage	13–6	0.04	26%	24 Jun →
ancient	13–4	0.06	13%	21 Jun →
anubis	7–13	-0.05	6%	20 Jun →
nuke	5–13	-0.06	29%	20 Jun →
cache	13–9	0.04	21%	19 Jun →
dust2	11–13	0.11	24%	17 Jun →