Tonno#300 — CS2 Stats

76561198123591495[U:1:163325767]✓ No bans

768Tracked matches45%Win rate2021Tracked since

1,720Hours in CS

CSDB Rating5.7 SolidAggressive Rifler

Premier CS Rating9,145Light Blue band · top ~59% of ranked players (population est.)

CSDB Leaderboard#14044 of 18865 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning63

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY42–51–7Last 10042%Win rateLLWWLLWLWW

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.

Aim8.5

Aggression10.0

Utility5.2

Positioning6.3

Opening Duels4.7

Sharp aimer

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 sh1ro 93% playstyle similarity

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

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.5

Positioning6.3

Utility5.2

Mechanics6.4

Opening Duels4.7

Win Impact3.3

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time497ms−45ms

first ⅓ avg 541ms → last ⅓ avg 497ms

Headshot accuracy20.2%+0.4%

first ⅓ avg 19.7% → last ⅓ avg 20.2%

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

0.18Best rating — dust2 13–6

13–0Biggest win — cache

5Longest win streak

L2Current streak

2–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 53% over 15anubisWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	50	20–30	40%	0.01
mirage	C	18	8–10	44%	0.01
cache	B	15	8–7	53%	0.04
anubis	D	5	0–5	0%	-0.01
nuke	—	4	2–2	50%	0.02
inferno	—	4	1–3	25%	0.02
ancient	—	3	2–1	67%	0.02
train	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,201Lifetime kills

0.98K/D

2,996Matches

39.1%Match win rate

43.4%Headshot %

14.6%Shot accuracy · Top 50% of tracked players

6,807MVPs

1,720Hours (in match)

1,497Bombs planted

493Bombs defused

Most-used weapons

AK-4715,777

M4A4 / M4A1-S11,480

AWP9,095

Desert Eagle5,516

P2000 / USP-S3,508

Glock-181,790

SSG 081,768

P2501,018

P90864

Galil AR786

Lifetime map wins

8,686dust2

2,497inferno

1,054nuke

498train

273vertigo

179cbble

43italy

42lake

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

Faceit stats

Combat

82Matches

37%Win rate

0.79Avg K/D

—ADR

35%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLLW

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.

20.4%Headshot accuracy

39.3%Accuracy (enemy spotted)

34.3%Spray accuracy

78.9%Counter-strafing

8.9°Preaim

491msReaction time

45.5%T opening success

51.9%CT opening success

0.61Enemies flashed / flash

9.3%Flash assists

9.04HE damage / grenade

13.62Flashes / match

Recommended for you

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.

0% win rate across 5 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
dust2	7–13	-0.01	25%	28 Aug →
dust2	11–13	0.01	9%	27 Aug →
dust2	13–3	0.04	0%	26 Aug →
mirage	13–5	-0.01	6%	25 Aug →
mirage	7–13	0.00	19%	23 Aug →
dust2	1–13	-0.03	20%	23 Aug →
dust2	13–8	0.00	65%	22 Aug →
ancient	11–13	0.01	21%	22 Aug →
nuke	13–2	0.01	24%	18 Aug →
train	13–8	-0.02	54%	17 Aug →
mirage	10–13	0.05	22%	16 Aug →
dust2	8–13	0.01	15%	16 Aug →
cache	13–0	0.07	14%	16 Aug →
mirage	9–13	0.04	12%	16 Aug →
nuke	16–12	0.04	12%	15 Aug →
inferno	9–13	0.02	10%	15 Aug →
dust2	13–7	-0.03	11%	15 Aug →
nuke	10–13	-0.01	28%	15 Aug →
cache	9–13	0.06	28%	15 Aug →
mirage	10–13	-0.06	18%	14 Aug →
dust2	13–8	-0.02	16%	14 Aug →
dust2	13–6	0.00	15%	13 Aug →
mirage	11–13	0.01	18%	13 Aug →
anubis	1–13	-0.02	13%	13 Aug →
ancient	13–11	0.02	21%	13 Aug →
dust2	4–13	-0.04	15%	9 Aug →
anubis	11–13	0.00	7%	8 Aug →
cache	13–2	-0.01	23%	8 Aug →
dust2	15–15	0.04	40%	8 Aug →
ancient	13–8	0.03	19%	8 Aug →
dust2	13–9	0.03	26%	8 Aug →
dust2	10–13	0.06	25%	7 Aug →
dust2	9–13	0.03	16%	5 Aug →
dust2	4–13	0.03	22%	3 Aug →
dust2	13–9	0.00	14%	2 Aug →
dust2	12–16	0.04	15%	1 Aug →
anubis	4–13	-0.02	14%	1 Aug →
cache	5–13	-0.01	12%	1 Aug →
dust2	13–7	0.07	15%	1 Aug →
mirage	13–8	-0.02	19%	31 Jul →
mirage	13–8	-0.03	14%	31 Jul →
mirage	16–12	0.05	23%	31 Jul →
mirage	13–10	0.00	22%	26 Jul →
dust2	4–13	-0.01	24%	26 Jul →
anubis	11–13	-0.01	26%	25 Jul →
anubis	15–15	-0.02	13%	21 Jul →
inferno	13–7	0.11	27%	18 Jul →
mirage	13–2	-0.02	13%	18 Jul →
nuke	11–13	0.03	25%	18 Jul →
dust2	13–6	-0.01	20%	18 Jul →
dust2	9–13	0.08	16%	17 Jul →
cache	13–7	0.14	21%	17 Jul →
inferno	4–13	-0.02	8%	16 Jul →
dust2	1–13	-0.05	7%	16 Jul →
cache	12–12	0.06	10%	12 Jul →
dust2	7–13	0.03	37%	12 Jul →
inferno	6–13	-0.00	11%	11 Jul →
cache	13–6	0.09	13%	11 Jul →
dust2	3–13	-0.00	20%	10 Jul →
mirage	5–6	-0.01	45%	10 Jul →
dust2	8–13	-0.04	23%	8 Jul →
dust2	13–5	0.10	15%	8 Jul →
dust2	13–8	-0.00	17%	20 Jun →
dust2	13–3	-0.01	18%	20 Jun →
dust2	9–13	0.00	22%	6 Jun →
dust2	4–13	-0.07	12%	31 May →
dust2	4–13	0.00	32%	24 May →
dust2	13–8	-0.00	6%	23 May →
dust2	4–13	-0.08	26%	22 May →
dust2	7–13	0.01	30%	20 May →
dust2	13–7	-0.04	20%	19 May →
cache	13–10	0.07	11%	19 May →
dust2	12–12	0.10	27%	19 May →
dust2	13–6	0.18	19%	18 May →
dust2	12–12	0.13	22%	18 May →
mirage	13–6	0.05	8%	16 May →
dust2	4–13	-0.06	16%	16 May →
dust2	3–13	-0.02	23%	15 May →
dust2	13–6	0.04	18%	15 May →
cache	6–13	0.05	24%	14 May →
dust2	1–13	-0.01	20%	14 May →
dust2	13–11	0.00	30%	12 May →
mirage	8–13	0.01	12%	12 May →
dust2	11–13	-0.08	25%	11 May →
dust2	8–13	0.03	25%	11 May →
dust2	13–3	0.03	17%	11 May →
dust2	8–13	0.01	35%	10 May →
cache	13–10	0.03	15%	10 May →
dust2	8–13	-0.04	22%	10 May →
mirage	12–12	-0.03	25%	10 May →
mirage	13–8	0.01	13%	7 May →
cache	12–12	0.00	20%	7 May →
mirage	8–13	0.05	25%	5 May →
mirage	6–13	0.05	10%	5 May →
cache	2–13	-0.02	16%	4 May →
dust2	13–4	0.08	29%	4 May →
cache	0–13	-0.07	28%	3 May →
cache	13–2	0.05	10%	3 May →
cache	13–3	0.05	12%	3 May →
dust2	13–10	-0.03	13%	3 May →