chroni — CS2 Stats

76561198140073705[U:1:179807977]Steam profile ↗✓ No bans

1,035Tracked matches40%Win rate2020Tracked since

3,261Hours in CS8Hrs last 2 wks

CSDB Rating5.1 DevelopingAggressive Rifler

FaceitLevel 10 · 1,850 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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	40.6%	51.9%
Shot accuracy	15.4%	13.7%
Kill/death ratio	1.07	1.08
Match win rate	49.2%	48.7%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim71

Positioning54

Utility58

0–100 skill scores via Leetify.

Recent form

COLD47–52–1Last 10047%Win rateWLLLLWWLLL

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.

Aim7.1

Aggression8.2

Utility5.8

Positioning5.4

Opening Duels3.5

Clutch3.2

Strong CT-side openerLimited 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 b1t 90% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T-side openings. Opening success drops from 53% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms 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

Positioning5.4

Utility5.8

Mechanics4.8

Opening Duels3.5

Win Impact1.7

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time584ms−25ms

first ⅓ avg 610ms → last ⅓ avg 584ms

Headshot accuracy20.1%+0.4%

first ⅓ avg 19.7% → last ⅓ avg 20.1%

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

0.21Best rating — nuke 13–4

13–1Biggest win — nuke

6Longest win streak

8–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 59% over 17anubisWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	22	11–11	50%	0.01
nuke	A	20	11–9	55%	0.02
dust2	A	17	10–7	59%	0.02
ancient	D	13	4–9	31%	0.00
anubis	D	10	3–7	30%	-0.00
cache	C	9	4–5	44%	-0.01
mirage	C	8	3–5	38%	0.01
overpass	—	1	1–0	100%	0.07

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

86,216Lifetime kills

1.07K/D

3,579Matches

49.2%Match win rate · Top 50% of Level 10 players

40.6%Headshot %

15.4%Shot accuracy · Top 50% of Level 10 players

10,707MVPs

2,060Hours (in match)

4,303Bombs planted

1,342Bombs defused

Most-used weapons

AK-4721,668

AWP18,237

M4A4 / M4A1-S11,171

Desert Eagle5,830

P2000 / USP-S4,611

P2504,262

Glock-182,680

Knife1,991

P901,886

AUG1,581

Lifetime map wins

11,153dust2

5,961inferno

3,900nuke

2,650train

973vertigo

801cbble

63aztec

58dust

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

Faceit stats

Combat

1,338Matches

51%Win rate

1.15Avg K/D

78.8ADR

42%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	112	56%	1.21	17.1
Mirage	93	42%	0.94	15.9
Inferno	90	61%	1.11	17.0
Ancient	89	42%	1.08	16.0
Dust2	87	47%	1.13	17.4
Anubis	37	51%	1.11	16.2
Train	36	56%	1.23	16.9
Overpass	25	40%	1.05	16.4

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.

19.7%Headshot accuracy

37.4%Accuracy (enemy spotted)

40.9%Spray accuracy

71.6%Counter-strafing

10.4°Preaim

584msReaction time

35.5%T opening success

52.7%CT opening success

0.59Enemies flashed / flash

9.7%Flash assists

7.59HE damage / grenade

3.15Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1515 — below the 4 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 35.4662% — 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
inferno	13–8	0.08	22%	26 Aug →
nuke	11–13	-0.01	16%	23 Aug →
ancient	10–13	-0.06	22%	23 Aug →
anubis	7–13	-0.11	15%	19 Aug →
ancient	10–13	-0.02	22%	19 Aug →
inferno	13–6	0.09	26%	15 Aug →
cache	13–7	0.05	23%	14 Aug →
nuke	11–13	-0.00	15%	11 Aug →
cache	4–13	0.01	35%	9 Aug →
cache	10–13	0.03	37%	6 Aug →
anubis	7–13	-0.02	9%	27 Jul →
anubis	11–13	0.04	10%	26 Jul →
ancient	10–13	-0.04	13%	26 Jul →
inferno	13–5	-0.01	15%	24 Jul →
mirage	13–10	0.04	21%	24 Jul →
anubis	13–11	0.01	18%	24 Jul →
nuke	13–8	-0.00	21%	24 Jul →
inferno	3–13	-0.09	14%	24 Jul →
mirage	11–13	0.02	22%	22 Jul →
ancient	8–13	0.00	31%	22 Jul →
inferno	11–13	-0.02	10%	22 Jul →
inferno	8–13	0.01	27%	20 Jul →
dust2	13–8	0.09	32%	20 Jul →
nuke	13–11	0.01	12%	20 Jul →
dust2	13–9	0.05	10%	11 Jul →
ancient	7–13	0.01	15%	11 Jul →
dust2	13–3	0.13	20%	11 Jul →
inferno	12–16	0.03	20%	11 Jul →
nuke	13–9	0.02	18%	11 Jul →
cache	8–13	-0.05	24%	9 Jul →
inferno	13–3	0.09	27%	4 Jul →
inferno	13–10	0.06	14%	22 Jun →
dust2	13–16	-0.01	27%	22 Jun →
dust2	13–11	0.07	28%	16 Jun →
inferno	14–16	0.02	50%	13 Jun →
inferno	10–13	-0.04	15%	4 Jun →
nuke	16–13	0.01	25%	4 Jun →
nuke	13–6	-0.02	13%	3 Jun →
inferno	16–13	-0.00	22%	3 Jun →
dust2	13–10	0.04	4%	3 Jun →
dust2	13–10	0.02	24%	3 Jun →
cache	13–5	-0.02	18%	3 Jun →
dust2	7–13	0.01	24%	29 May →
inferno	8–13	-0.03	14%	29 May →
anubis	13–3	-0.02	22%	28 May →
nuke	7–13	-0.02	22%	27 May →
inferno	6–13	-0.02	20%	27 May →
mirage	10–13	0.01	12%	18 May →
cache	10–13	-0.05	4%	18 May →
nuke	9–13	-0.01	20%	17 May →
cache	10–13	-0.01	15%	16 May →
anubis	13–7	0.04	16%	16 May →
dust2	9–13	-0.05	18%	16 May →
inferno	16–19	0.01	13%	16 May →
dust2	13–9	0.05	39%	16 May →
anubis	10–13	0.03	18%	15 May →
cache	13–10	0.04	28%	15 May →
inferno	3–13	-0.00	26%	15 May →
dust2	8–13	-0.07	22%	14 May →
nuke	13–5	0.08	30%	14 May →
anubis	15–15	0.10	25%	12 May →
nuke	13–4	0.21	20%	10 May →
overpass	13–5	0.07	26%	9 May →
ancient	13–6	-0.02	25%	8 May →
dust2	13–6	-0.02	23%	8 May →
nuke	11–13	0.05	14%	6 May →
anubis	0–10	-0.06	0%	30 Apr →
ancient	13–8	0.06	18%	30 Apr →
mirage	0–13	-0.04	16%	30 Apr →
nuke	13–1	0.10	12%	30 Apr →
dust2	9–13	0.05	37%	30 Apr →
inferno	13–11	0.01	19%	30 Apr →
cache	13–11	-0.05	13%	30 Apr →
inferno	13–8	0.05	42%	23 Apr →
dust2	13–9	0.02	23%	21 Apr →
ancient	4–13	0.03	17%	21 Apr →
ancient	12–16	-0.01	11%	16 Apr →
ancient	13–3	0.08	30%	15 Apr →
ancient	11–13	-0.04	15%	15 Apr →
mirage	13–9	0.01	26%	11 Apr →
nuke	13–2	0.17	30%	11 Apr →
dust2	16–14	-0.07	13%	8 Apr →
inferno	13–11	0.05	13%	8 Apr →
nuke	7–13	-0.00	20%	8 Apr →
inferno	13–8	-0.00	10%	5 Apr →
mirage	13–7	0.06	17%	5 Apr →
ancient	13–3	0.06	21%	31 Mar →
inferno	8–13	-0.04	10%	27 Mar →
ancient	9–13	0.02	23%	25 Mar →
mirage	6–13	-0.02	26%	23 Mar →
nuke	13–9	0.02	21%	23 Mar →
mirage	14–16	-0.01	23%	21 Mar →
nuke	13–10	-0.02	23%	20 Mar →
nuke	16–19	-0.02	8%	17 Mar →
dust2	17–19	-0.01	11%	7 Mar →
anubis	7–13	-0.05	18%	6 Mar →
inferno	13–11	0.00	25%	4 Mar →
nuke	9–13	-0.03	17%	23 Feb →
dust2	14–16	-0.02	22%	21 Feb →
nuke	5–13	-0.07	24%	18 Feb →