tone — CS2 Stats

76561199153240259[U:1:1192974531]

1,655Tracked matches76%Win rate2021Tracked since

CSDB Rating7.1 StrongAggressive Rifler

FaceitLevel 8 · 1,574 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning64

Utility57

0–100 skill scores via Leetify.

Recent form

HOT61–35–4Last 10061%Win rateLWWLWWWWWW

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.

Aim8.7

Aggression9.7

Utility5.7

Positioning6.4

Opening Duels4.3

Clutch4.8

Sharp aimerExcellent counter-strafingStrong 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 device 96% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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 65% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 553ms 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

Aim8.7

Positioning6.4

Utility5.7

Mechanics8.8

Opening Duels4.4

Win Impact10.0

Composite 7.1/10 (Strong), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time550ms+2ms

first ⅓ avg 549ms → last ⅓ avg 550ms

Headshot accuracy21.7%−6.6%

first ⅓ avg 28.4% → last ⅓ avg 21.7%

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 — dust2 13–6

13–0Biggest win — mirage

9Longest win streak

7–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

overpassBest map · 100% over 6infernoWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	38	24–14	63%	0.02
dust2	B	26	14–12	54%	0.01
ancient	A	16	10–6	63%	0.02
overpass	S	6	6–0	100%	0.02
inferno	C	5	2–3	40%	-0.00
nuke	—	4	1–3	25%	0.01
anubis	—	3	3–0	100%	0.02
train	—	2	1–1	50%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

368Matches

48%Win rate

1.09Avg K/D

76.7ADR

47%Headshot %

Clutches & streaks

44%1v1 clutch win

19%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	98	47%	1.16	15.0
Dust2	54	54%	1.16	16.7
Ancient	40	40%	1.32	15.5
Inferno	25	48%	0.97	13.9
Anubis	21	57%	1.17	15.7
Overpass	6	50%	1.09	16.0
Nuke	5	0%	0.83	12.4
Vertigo	5	60%	1.02	15.0

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.

21.4%Headshot accuracy

35.3%Accuracy (enemy spotted)

38.8%Spray accuracy

89.5%Counter-strafing

7.7°Preaim

553msReaction time

28.8%T opening success

65.3%CT opening success

0.66Enemies flashed / flash

6.3%Flash assists

6.98HE damage / grenade

15.66Flashes / 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 28.7629% — 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.

40% win rate across 5 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
ancient	10–13	0.03	16%	23 Jan →
mirage	13–4	0.07	19%	23 Jan →
mirage	13–9	-0.03	17%	23 Jan →
dust2	10–13	-0.04	16%	22 Jan →
anubis	13–7	0.09	19%	22 Jan →
anubis	13–1	0.03	8%	22 Jan →
mirage	13–3	0.02	21%	22 Jan →
anubis	13–3	-0.06	13%	22 Jan →
mirage	13–3	0.08	19%	20 Jan →
overpass	13–10	0.12	30%	19 Jan →
dust2	13–11	0.08	22%	19 Jan →
dust2	13–3	-0.05	13%	10 Jan →
mirage	13–7	0.02	11%	5 Jan →
mirage	6–13	-0.07	28%	2 Jan →
dust2	13–6	0.22	35%	30 Dec →
mirage	13–7	0.06	30%	30 Dec →
dust2	10–13	-0.04	16%	29 Dec →
dust2	13–5	0.03	20%	29 Dec →
dust2	13–1	0.01	33%	29 Dec →
mirage	13–16	0.00	34%	29 Dec →
mirage	13–10	0.04	19%	29 Dec →
nuke	11–13	-0.04	18%	28 Dec →
dust2	13–8	-0.03	22%	28 Dec →
dust2	15–15	-0.02	17%	28 Dec →
ancient	7–2	0.01	23%	28 Dec →
ancient	13–7	-0.02	20%	27 Dec →
mirage	13–11	0.15	24%	27 Dec →
dust2	6–13	-0.06	32%	26 Dec →
mirage	13–6	0.00	29%	26 Dec →
dust2	13–8	0.09	19%	24 Dec →
inferno	13–7	-0.06	21%	24 Dec →
mirage	13–1	0.05	27%	24 Dec →
mirage	13–11	-0.00	30%	22 Dec →
mirage	13–5	0.10	24%	22 Dec →
inferno	11–13	0.03	28%	22 Dec →
mirage	13–6	0.07	38%	22 Dec →
dust2	15–15	0.09	27%	21 Dec →
overpass	13–10	-0.00	27%	12 Dec →
dust2	7–13	-0.02	19%	12 Dec →
train	7–13	0.12	30%	11 Dec →
dust2	13–6	0.01	19%	7 Dec →
overpass	13–11	-0.03	19%	7 Dec →
mirage	15–15	-0.01	36%	2 Dec →
dust2	13–9	-0.01	22%	1 Dec →
ancient	7–13	0.01	22%	1 Dec →
ancient	13–9	-0.03	35%	1 Dec →
inferno	10–13	0.04	21%	29 Nov →
mirage	7–13	-0.01	29%	29 Nov →
dust2	13–8	-0.01	33%	29 Nov →
ancient	12–16	-0.02	30%	28 Nov →
dust2	6–13	-0.03	47%	27 Nov →
mirage	13–10	-0.04	23%	27 Nov →
mirage	13–3	0.05	14%	27 Nov →
overpass	13–7	-0.01	30%	27 Nov →
ancient	13–9	0.03	26%	25 Nov →
overpass	13–3	0.05	28%	25 Nov →
mirage	12–16	-0.03	11%	25 Nov →
ancient	5–13	0.07	27%	24 Nov →
dust2	11–13	-0.01	26%	24 Nov →
ancient	13–8	0.02	26%	24 Nov →
mirage	11–13	0.02	28%	24 Nov →
mirage	13–11	0.01	14%	23 Nov →
mirage	13–4	0.05	31%	23 Nov →
train	13–5	-0.02	31%	23 Nov →
ancient	13–4	0.06	33%	22 Nov →
mirage	13–10	0.02	28%	21 Nov →
ancient	13–4	-0.01	38%	20 Nov →
nuke	10–13	-0.01	20%	19 Nov →
mirage	13–4	0.07	17%	19 Nov →
nuke	6–13	-0.07	37%	18 Nov →
ancient	13–8	0.04	22%	18 Nov →
dust2	11–13	-0.03	23%	17 Nov →
nuke	13–1	0.16	29%	17 Nov →
mirage	8–13	-0.04	24%	17 Nov →
mirage	13–3	0.06	38%	13 Nov →
mirage	16–14	-0.02	33%	13 Nov →
mirage	4–13	-0.07	31%	11 Nov →
mirage	7–13	-0.03	23%	9 Nov →
mirage	11–13	0.04	24%	6 Nov →
mirage	10–13	0.02	32%	5 Nov →
mirage	9–13	0.03	36%	4 Nov →
dust2	2–13	0.04	26%	4 Nov →
ancient	11–13	0.00	31%	4 Nov →
mirage	13–0	0.01	30%	4 Nov →
dust2	1–13	-0.08	45%	4 Nov →
dust2	5–13	0.03	30%	3 Nov →
mirage	13–10	0.01	26%	3 Nov →
ancient	11–13	-0.02	52%	3 Nov →
mirage	11–13	-0.01	15%	29 Oct →
inferno	13–8	0.02	26%	29 Oct →
ancient	13–0	0.09	29%	29 Oct →
dust2	13–7	0.01	15%	28 Oct →
dust2	13–11	0.00	35%	28 Oct →
inferno	12–12	-0.03	37%	27 Oct →
dust2	13–6	-0.02	23%	27 Oct →
overpass	13–2	-0.01	17%	26 Oct →
dust2	13–9	0.04	35%	22 Oct →
mirage	13–9	-0.01	33%	20 Oct →
mirage	11–13	0.05	25%	20 Oct →
ancient	13–3	0.05	18%	20 Oct →