Tonzzie — CS2 Stats

FI76561198001263317[U:1:40997589]Steam profile ↗✓ No bans

7,337Tracked matches53%Win rate2020Tracked since

CSDB Rating6.4 SolidHybrid Rifler

Premier CS Rating24,515Top 50% of 819 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)

CSDB Leaderboard#2650 of 13842 tracked

FaceitLevel 10 · 2,782 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning47

Utility46

0–100 skill scores via Leetify.

Recent form

COLD52–46–2Last 10052%Win rateLLWWLLWLLL

Last 10 vs previous 10: -40pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim9.1

Aggression6.1

Utility4.6

Positioning4.7

Opening Duels1.8

Clutch4.0

Sharp aimerStrong 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 NiKo 90% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution.

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 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.

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 48% on CT to 26% 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

Aim9.1

Positioning4.7

Utility4.6

Mechanics7.4

Opening Duels2.3

Win Impact6.1

Composite 6.4/10 (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 rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time537ms−72ms

first ⅓ avg 610ms → last ⅓ avg 537ms

Headshot accuracy27.4%−2.5%

first ⅓ avg 29.9% → last ⅓ avg 27.4%

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

0.15Best rating — dust2 13–9

13–1Biggest win — anubis

5Longest win streak

L2Current streak

13–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 77% over 13dust2Weakest map · 36% over 22

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	22	8–14	36%	-0.00
ancient	B	16	8–8	50%	-0.00
inferno	A	16	9–7	56%	0.00
mirage	A	14	8–6	57%	-0.00
nuke	S	13	10–3	77%	0.03
cache	C	10	4–6	40%	0.00
anubis	S	7	5–2	71%	0.01
train	—	1	0–1	0%	-0.10
vertigo	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8,968Matches

50%Win rate

1.15Avg K/D

84.1ADR

57%Headshot %

Clutches & streaks

40%1v1 clutch win

20%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	670	47%	1.14	17.4
Ancient	405	51%	1.18	17.3
Dust2	354	51%	1.09	16.5
Anubis	280	44%	1.09	16.8
Nuke	261	55%	1.25	18.5
Inferno	254	54%	1.22	17.6
Overpass	110	53%	1.15	17.2
Vertigo	107	46%	1.09	17.3

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.

25.5%Headshot accuracy

37.7%Accuracy (enemy spotted)

38.1%Spray accuracy

83.1%Counter-strafing

7.5°Preaim

534msReaction time

25.9%T opening success

48.2%CT opening success

0.53Enemies flashed / flash

9.2%Flash assists

7.09HE damage / grenade

5.81Flashes / 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 25.862% — below the 40% mark we flag

Spend your practice time on Dust 2

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

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	14–16	0.01	17%	28 Aug →
ancient	9–13	0.03	22%	28 Aug →
inferno	13–7	-0.02	43%	28 Aug →
inferno	13–4	0.07	32%	28 Aug →
mirage	2–7	-0.05	22%	28 Aug →
train	14–16	-0.10	17%	28 Aug →
ancient	19–17	0.03	20%	28 Aug →
vertigo	7–13	0.04	17%	28 Aug →
inferno	7–13	-0.01	29%	28 Aug →
dust2	9–13	0.01	33%	28 Aug →
mirage	10–13	-0.07	17%	27 Aug →
nuke	16–13	0.11	39%	27 Aug →
ancient	13–2	0.02	15%	27 Aug →
dust2	11–13	0.06	33%	25 Aug →
anubis	13–1	-0.02	13%	25 Aug →
cache	13–7	-0.00	23%	24 Aug →
anubis	16–14	0.04	13%	24 Aug →
ancient	7–10	-0.10	0%	24 Aug →
dust2	13–7	-0.03	34%	24 Aug →
inferno	13–5	-0.04	22%	24 Aug →
anubis	13–9	-0.01	24%	24 Aug →
ancient	13–11	0.05	46%	18 Aug →
nuke	9–13	0.07	35%	18 Aug →
inferno	13–6	0.03	19%	18 Aug →
ancient	4–13	-0.05	26%	18 Aug →
anubis	4–13	0.04	43%	18 Aug →
cache	13–8	0.13	31%	18 Aug →
nuke	2–0	0.05	67%	18 Aug →
inferno	13–10	0.05	21%	17 Aug →
dust2	5–13	-0.05	25%	17 Aug →
mirage	13–7	0.03	18%	17 Aug →
dust2	13–5	-0.03	22%	17 Aug →
mirage	13–9	0.04	67%	17 Aug →
nuke	13–8	-0.02	27%	17 Aug →
anubis	13–11	0.03	13%	17 Aug →
inferno	3–13	-0.08	14%	17 Aug →
dust2	13–9	0.04	22%	17 Aug →
cache	13–11	-0.01	25%	17 Aug →
dust2	13–10	0.03	26%	17 Aug →
ancient	2–13	-0.07	43%	12 Aug →
inferno	11–13	0.01	26%	12 Aug →
mirage	13–11	-0.04	19%	12 Aug →
dust2	10–13	-0.03	32%	12 Aug →
ancient	9–13	-0.02	30%	12 Aug →
nuke	13–8	0.05	21%	12 Aug →
cache	9–13	-0.00	35%	29 Jul →
nuke	16–14	0.06	19%	29 Jul →
cache	8–13	-0.03	31%	29 Jul →
ancient	5–13	0.03	38%	29 Jul →
dust2	13–8	0.03	29%	28 Jul →
dust2	13–9	0.15	28%	28 Jul →
inferno	13–2	0.01	29%	28 Jul →
ancient	13–9	0.08	21%	28 Jul →
dust2	7–13	-0.01	23%	28 Jul →
dust2	2–13	-0.11	33%	28 Jul →
ancient	13–10	0.02	34%	28 Jul →
cache	4–13	-0.03	20%	28 Jul →
nuke	13–11	-0.05	0%	28 Jul →
ancient	9–13	-0.04	15%	28 Jul →
dust2	9–13	-0.07	19%	28 Jul →
inferno	13–7	0.04	31%	27 Jul →
mirage	13–9	-0.03	22%	27 Jul →
cache	16–14	0.07	35%	27 Jul →
mirage	16–13	0.02	38%	27 Jul →
dust2	9–13	0.03	26%	27 Jul →
nuke	13–10	0.14	31%	27 Jul →
anubis	16–13	0.00	32%	27 Jul →
inferno	10–13	-0.02	33%	27 Jul →
ancient	13–11	0.02	34%	27 Jul →
nuke	9–13	0.02	40%	22 Jul →
mirage	9–13	0.05	43%	22 Jul →
mirage	2–1	0.04	100%	22 Jul →
dust2	9–13	-0.00	29%	22 Jul →
inferno	12–12	0.03	23%	21 Jul →
nuke	13–10	0.01	27%	21 Jul →
nuke	9–13	-0.01	32%	21 Jul →
nuke	13–11	-0.01	16%	21 Jul →
anubis	8–13	-0.04	23%	21 Jul →
dust2	5–13	-0.00	26%	21 Jul →
dust2	13–9	0.05	35%	21 Jul →
inferno	11–13	0.04	32%	21 Jul →
dust2	3–13	-0.07	23%	13 Jul →
mirage	13–9	-0.00	19%	13 Jul →
cache	14–16	0.01	19%	13 Jul →
inferno	13–8	0.00	17%	12 Jul →
ancient	13–4	0.01	10%	12 Jul →
dust2	9–13	-0.01	19%	12 Jul →
inferno	13–6	-0.00	13%	12 Jul →
cache	8–13	-0.05	30%	12 Jul →
mirage	13–9	0.02	11%	12 Jul →
mirage	15–15	0.01	43%	10 Jul →
ancient	7–13	-0.04	38%	10 Jul →
dust2	5–13	-0.02	33%	10 Jul →
mirage	9–13	-0.03	36%	9 Jul →
nuke	16–13	-0.01	32%	9 Jul →
ancient	13–9	-0.00	26%	9 Jul →
mirage	6–13	0.01	26%	9 Jul →
cache	3–13	-0.07	35%	9 Jul →
inferno	6–13	-0.10	32%	9 Jul →
dust2	13–4	-0.05	31%	9 Jul →