Chris Benoit — CS2 Stats

IR76561198290723085[U:1:330457357]Steam profile ↗✓ No bans

2,313Tracked matches55%Win rate2024Tracked since

2,882Hours in CS24Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating22,043Top 50% of 819 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)

CSDB Leaderboard#5704 of 17841 tracked

FaceitLevel 5 · 1,267 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning58

Utility53

0–100 skill scores via Leetify.

Recent form

COLD54–42–4Last 10054%Win rateLLWLTLWLLW

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

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

Aim7.9

Aggression7.9

Utility5.3

Positioning5.8

Opening Duels3.3

Clutch3.8

Strong T-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 94% playstyle similarity

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

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

CT openings. Opening success drops from 51% on T to 35% on CT — first contacts on the defending side are being lost.

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

Aim7.9

Positioning5.8

Utility5.3

Mechanics6.8

Opening Duels3.3

Win Impact6.7

Composite 6.5/10 (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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time551ms−90ms

first ⅓ avg 641ms → last ⅓ avg 551ms

Headshot accuracy13.8%−0.2%

first ⅓ avg 14.0% → last ⅓ avg 13.8%

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

0.12Best rating — cache 13–4

13–1Biggest win — mirage

4Longest win streak

L2Current streak

10–4In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 75% over 12ancientWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	21	12–9	57%	0.00
inferno	A	20	12–8	60%	0.00
cache	B	19	9–10	47%	0.00
ancient	D	13	4–9	31%	0.01
anubis	S	12	9–3	75%	0.01
mirage	A	8	5–3	63%	0.01
dust2	C	7	3–4	43%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,642Lifetime kills

1.31K/D · Top 25% of Pink band

3,359Matches

45.0%Match win rate

52.6%Headshot % · Top 50% of Pink band

5.5%Shot accuracy

7,012MVPs

1,336Hours (in match)

1,455Bombs planted

837Bombs defused

Most-used weapons

AK-4736,152

M4A4 / M4A1-S12,319

AWP3,577

P2000 / USP-S3,366

Desert Eagle2,659

MP92,559

Galil AR2,496

Glock-182,218

MAC-102,010

SG 5531,735

Lifetime map wins

5,497nuke

4,693inferno

3,312dust2

2,272vertigo

1,270train

355office

70cbble

44lake

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

Faceit stats

Combat

804Matches

48%Win rate

1.04Avg K/D

80.0ADR

40%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	175	45%	1.02	15.2
Inferno	148	45%	1.03	16.2
Nuke	139	55%	1.13	16.7
Ancient	96	45%	1.06	15.3
Anubis	79	41%	0.96	14.5
Vertigo	53	53%	1.11	16.2
Dust2	48	54%	1.00	14.6
Overpass	43	51%	0.98	13.9

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.

14.1%Headshot accuracy

39.4%Accuracy (enemy spotted)

40.1%Spray accuracy

80.8%Counter-strafing

9.0°Preaim

547msReaction time

51.0%T opening success

35.3%CT opening success

0.53Enemies flashed / flash

6.2%Flash assists

7.23HE damage / grenade

9.13Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.0661% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 35.3383% — below the 40% mark we flag

Spend your practice time on Ancient

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	10–13	0.02	15%	28 Aug →
anubis	6–13	-0.01	12%	28 Aug →
inferno	13–4	0.08	21%	28 Aug →
cache	9–13	-0.04	21%	28 Aug →
dust2	15–15	0.01	7%	27 Aug →
inferno	11–13	-0.03	16%	27 Aug →
mirage	13–6	0.02	8%	27 Aug →
ancient	7–13	-0.01	24%	26 Aug →
cache	9–13	-0.04	18%	26 Aug →
cache	13–10	-0.03	12%	24 Aug →
anubis	13–8	-0.01	13%	24 Aug →
cache	13–10	0.03	16%	23 Aug →
inferno	9–13	-0.05	18%	22 Aug →
inferno	13–3	0.03	14%	22 Aug →
mirage	13–6	0.04	12%	22 Aug →
anubis	9–13	-0.04	11%	21 Aug →
dust2	3–13	-0.05	17%	21 Aug →
anubis	13–10	0.00	12%	20 Aug →
ancient	3–13	-0.07	8%	20 Aug →
inferno	13–8	-0.01	19%	19 Aug →
inferno	13–7	0.04	15%	19 Aug →
ancient	7–13	-0.01	9%	19 Aug →
nuke	13–11	-0.00	12%	18 Aug →
inferno	13–9	0.05	18%	17 Aug →
nuke	13–7	0.06	17%	17 Aug →
nuke	9–13	-0.01	15%	15 Aug →
anubis	13–4	0.00	11%	15 Aug →
nuke	8–13	0.08	12%	15 Aug →
nuke	16–14	0.03	16%	15 Aug →
dust2	9–3	-0.03	5%	15 Aug →
ancient	9–13	0.05	8%	15 Aug →
mirage	4–13	-0.06	13%	14 Aug →
ancient	4–13	-0.05	16%	14 Aug →
cache	13–10	0.05	17%	14 Aug →
ancient	13–8	0.07	24%	13 Aug →
anubis	13–9	0.02	11%	13 Aug →
mirage	13–1	0.09	14%	13 Aug →
inferno	10–13	0.01	19%	12 Aug →
nuke	9–13	-0.01	16%	12 Aug →
cache	13–8	0.00	12%	12 Aug →
cache	13–9	0.07	10%	11 Aug →
nuke	13–8	-0.01	8%	11 Aug →
cache	11–13	-0.03	10%	10 Aug →
cache	12–16	-0.02	16%	9 Aug →
cache	13–9	0.03	22%	9 Aug →
mirage	9–13	-0.07	7%	9 Aug →
mirage	13–11	-0.02	8%	9 Aug →
nuke	13–8	0.01	8%	9 Aug →
cache	15–15	-0.02	17%	9 Aug →
ancient	10–13	0.03	10%	9 Aug →
inferno	13–5	0.05	11%	9 Aug →
ancient	13–11	-0.03	12%	9 Aug →
nuke	7–13	-0.06	8%	9 Aug →
nuke	13–9	0.02	4%	9 Aug →
anubis	13–11	-0.01	13%	8 Aug →
cache	13–9	0.01	21%	6 Aug →
nuke	9–13	-0.03	9%	6 Aug →
inferno	9–13	-0.03	15%	6 Aug →
ancient	16–12	0.01	15%	5 Aug →
nuke	13–9	0.03	8%	5 Aug →
nuke	8–13	-0.03	12%	4 Aug →
anubis	13–7	0.04	16%	4 Aug →
inferno	15–15	-0.02	14%	3 Aug →
cache	13–7	0.01	15%	2 Aug →
dust2	5–13	-0.08	9%	2 Aug →
cache	7–13	-0.03	12%	1 Aug →
inferno	13–1	-0.03	10%	1 Aug →
mirage	13–5	0.08	18%	31 Jul →
anubis	15–15	0.09	16%	31 Jul →
ancient	11–13	-0.03	15%	29 Jul →
cache	14–16	-0.01	10%	28 Jul →
inferno	13–6	0.01	9%	27 Jul →
ancient	13–11	0.11	25%	27 Jul →
nuke	13–11	-0.02	13%	27 Jul →
dust2	16–14	-0.07	5%	26 Jul →
cache	13–16	-0.05	7%	26 Jul →
inferno	1–10	-0.04	25%	26 Jul →
inferno	9–13	0.06	13%	26 Jul →
cache	13–4	0.12	14%	26 Jul →
inferno	13–5	-0.01	14%	26 Jul →
ancient	10–13	0.02	7%	26 Jul →
dust2	3–13	-0.06	17%	26 Jul →
nuke	13–5	0.01	10%	26 Jul →
dust2	16–12	0.08	24%	26 Jul →
inferno	13–6	0.08	15%	26 Jul →
cache	10–13	-0.01	15%	25 Jul →
ancient	10–13	0.03	18%	25 Jul →
inferno	13–10	-0.05	9%	24 Jul →
nuke	13–11	-0.02	19%	24 Jul →
nuke	12–16	0.03	10%	18 Jul →
anubis	13–7	0.02	15%	18 Jul →
mirage	10–13	0.00	17%	18 Jul →
cache	8–13	0.01	9%	17 Jul →
nuke	13–6	0.02	14%	17 Jul →
inferno	13–6	-0.04	16%	17 Jul →
nuke	7–13	-0.01	7%	16 Jul →
anubis	13–11	0.02	10%	16 Jul →
inferno	5–13	-0.02	10%	16 Jul →
nuke	13–1	-0.01	26%	15 Jul →
anubis	13–6	0.00	10%	15 Jul →