Chimod — CS2 Stats

US76561198210741896[U:1:250476168]Steam profile ↗✓ No bans

2,584Tracked matches38%Win rate2021Tracked since

2,365Hours in CS

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating25,340Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#1217 of 8284 tracked

FaceitLevel 8 · 1,516 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning61

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLLLLWWWWLT

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim8.6

Aggression9.3

Utility7.0

Positioning6.1

Opening Duels5.1

Clutch5.0

Sharp aimerStrong CT-side openerEffective flashes

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 device 94% playstyle similarity

Most alike: positioning profile, 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 86 — the mechanical foundation is a clear strength.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 37% 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

Aim8.6

Positioning6.1

Utility7.0

Mechanics7.3

Opening Duels5.1

Win Impact1.0

Composite 6.9/10 (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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time521ms−12ms

first ⅓ avg 533ms → last ⅓ avg 521ms

Headshot accuracy17.8%+0.0%

first ⅓ avg 17.7% → last ⅓ avg 17.8%

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

0.19Best rating — vertigo 13–8

13–0Biggest win — mirage

4Longest win streak

L4Current streak

13–9In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 57% over 14anubisWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	11–13	46%	0.03
cache	C	17	7–10	41%	0.02
inferno	A	14	8–6	57%	0.03
ancient	B	14	7–7	50%	0.02
anubis	D	10	3–7	30%	0.01
dust2	C	8	3–5	38%	-0.01
nuke	A	7	4–3	57%	0.02
train	—	3	1–2	33%	0.09
vertigo	—	2	1–1	50%	0.14
debris	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,158Lifetime kills

1.12K/D · Top 50% of tracked players

10,478Matches

67.5%Match win rate · Top 5% of tracked players

43.0%Headshot %

9.2%Shot accuracy

15,254MVPs

2,365Hours (in match)

6,509Bombs planted

1,555Bombs defused

Most-used weapons

AK-4737,165

M4A4 / M4A1-S22,425

AWP14,925

Desert Eagle6,723

P2000 / USP-S6,463

Glock-184,957

P2503,500

MP93,123

MAC-102,683

Galil AR2,616

Lifetime map wins

7,956dust2

6,570inferno

5,715nuke

2,511train

2,436vertigo

898cbble

410office

189italy

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

Faceit stats

Combat

168Matches

55%Win rate

1.48Avg K/D

98.6ADR

46%Headshot %

Clutches & streaks

45%1v1 clutch win

33%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	33	61%	1.48	18.9
Ancient	17	53%	1.54	19.9
Dust2	16	69%	1.56	20.2
Inferno	15	60%	2.45	19.3
Vertigo	13	62%	1.69	20.6
Nuke	10	60%	1.53	18.3
Anubis	8	38%	1.15	17.9
Overpass	6	50%	1.81	16.3

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.

17.6%Headshot accuracy

39.6%Accuracy (enemy spotted)

45.5%Spray accuracy

82.7%Counter-strafing

9.7°Preaim

531msReaction time

37.0%T opening success

64.1%CT opening success

0.78Enemies flashed / flash

8.9%Flash assists

10.99HE damage / grenade

16.33Flashes / 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 37.026% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–16	0.00	24%	28 Aug →
mirage	4–13	0.02	29%	27 Aug →
inferno	1–13	-0.06	33%	25 Aug →
anubis	11–13	0.05	6%	24 Aug →
mirage	13–3	0.09	19%	22 Aug →
mirage	16–12	0.05	14%	22 Aug →
inferno	13–11	0.06	15%	22 Aug →
cache	13–7	0.05	20%	22 Aug →
nuke	7–13	-0.02	18%	21 Aug →
train	12–12	0.06	15%	21 Aug →
dust2	8–13	0.02	22%	21 Aug →
mirage	8–13	0.01	14%	20 Aug →
cache	13–16	0.00	15%	16 Aug →
dust2	5–13	-0.01	25%	16 Aug →
nuke	4–13	-0.01	14%	16 Aug →
anubis	2–4	-0.02	18%	15 Aug →
cache	3–13	0.00	17%	15 Aug →
cache	16–13	0.03	22%	15 Aug →
inferno	13–7	0.04	19%	15 Aug →
mirage	7–13	0.00	22%	14 Aug →
mirage	9–13	-0.02	16%	11 Aug →
mirage	10–13	0.04	10%	5 Aug →
cache	4–13	-0.01	20%	4 Aug →
ancient	13–9	0.01	20%	4 Aug →
mirage	16–14	0.06	20%	4 Aug →
ancient	6–13	-0.01	18%	3 Aug →
inferno	13–10	-0.01	18%	3 Aug →
anubis	14–16	0.01	16%	3 Aug →
cache	13–8	-0.05	11%	3 Aug →
ancient	16–13	0.01	13%	2 Aug →
nuke	13–11	0.01	24%	2 Aug →
ancient	13–11	0.08	9%	2 Aug →
inferno	1–13	-0.03	14%	1 Aug →
train	12–12	0.06	24%	1 Aug →
vertigo	13–8	0.19	23%	1 Aug →
dust2	13–7	0.04	20%	31 Jul →
nuke	13–6	0.03	27%	31 Jul →
dust2	11–13	-0.08	10%	31 Jul →
ancient	13–6	-0.05	12%	30 Jul →
anubis	12–16	0.02	11%	30 Jul →
cache	10–13	-0.03	11%	30 Jul →
mirage	13–11	0.01	14%	29 Jul →
inferno	13–4	0.01	11%	29 Jul →
dust2	4–13	0.01	13%	29 Jul →
cache	1–13	-0.02	11%	28 Jul →
dust2	13–7	0.03	15%	28 Jul →
vertigo	10–13	0.08	17%	28 Jul →
inferno	13–7	0.11	19%	28 Jul →
cache	13–11	0.05	13%	27 Jul →
mirage	15–15	-0.01	11%	27 Jul →
inferno	9–13	-0.03	20%	27 Jul →
inferno	13–3	-0.01	29%	26 Jul →
ancient	2–2	0.09	33%	25 Jul →
ancient	10–13	-0.03	21%	25 Jul →
mirage	13–10	-0.06	15%	25 Jul →
cache	16–13	0.01	21%	24 Jul →
mirage	10–13	0.03	12%	24 Jul →
anubis	13–11	0.04	8%	24 Jul →
cache	13–8	0.01	19%	23 Jul →
cache	5–13	0.03	13%	23 Jul →
mirage	3–8	0.13	14%	23 Jul →
anubis	9–13	-0.00	12%	23 Jul →
ancient	7–13	0.05	15%	22 Jul →
ancient	13–4	-0.01	19%	22 Jul →
anubis	14–16	0.01	10%	22 Jul →
debris	3–9	-0.02	24%	21 Jul →
inferno	4–13	0.10	24%	21 Jul →
inferno	13–7	0.09	19%	21 Jul →
mirage	7–13	0.07	25%	20 Jul →
cache	8–13	0.04	27%	20 Jul →
nuke	4–13	0.04	7%	20 Jul →
anubis	5–13	-0.03	22%	20 Jul →
mirage	7–13	0.03	15%	20 Jul →
ancient	13–11	0.03	13%	20 Jul →
nuke	13–10	0.05	20%	16 Jul →
mirage	4–13	0.10	23%	16 Jul →
cache	13–11	0.08	19%	16 Jul →
train	13–10	0.15	20%	16 Jul →
inferno	11–13	0.09	18%	16 Jul →
ancient	11–13	-0.01	14%	16 Jul →
mirage	13–9	0.03	21%	15 Jul →
inferno	15–15	0.08	26%	15 Jul →
anubis	13–8	0.01	13%	15 Jul →
cache	5–13	0.10	17%	14 Jul →
ancient	13–6	-0.01	23%	14 Jul →
ancient	9–13	0.02	15%	14 Jul →
mirage	13–11	-0.02	14%	13 Jul →
mirage	13–0	0.05	16%	13 Jul →
cache	14–16	0.02	17%	12 Jul →
inferno	13–7	0.01	21%	12 Jul →
anubis	13–3	-0.03	16%	12 Jul →
ancient	4–13	0.04	22%	12 Jul →
mirage	7–13	-0.05	9%	12 Jul →
nuke	13–11	0.02	21%	12 Jul →
mirage	13–9	0.08	18%	12 Jul →
dust2	13–3	0.05	8%	11 Jul →
mirage	13–11	0.02	13%	11 Jul →
dust2	1–13	-0.10	25%	11 Jul →
cache	3–13	-0.02	12%	11 Jul →
mirage	13–11	-0.02	16%	11 Jul →