[BLINK] tonk — CS2 Stats

76561198810434075[U:1:850168347]Steam profile ↗

838Tracked matches44%Win rate2020Tracked since

CSDB Rating6.2 SolidHybrid Rifler

Premier CS Rating23,451Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)

CSDB Leaderboard#6799 of 32072 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning53

Utility50

0–100 skill scores via Leetify.

Recent form

COLD48–46–6Last 10048%Win rateLTLLWLLLLL

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.

Aim8.4

Aggression5.0

Utility5.0

Positioning5.3

Opening Duels2.1

Clutch4.0

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 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

Positioning. Positioning trails aim by 31 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.

Reaction time. 560ms 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

Aim8.4

Positioning5.3

Utility5.0

Mechanics8.3

Opening Duels2.1

Win Impact3.1

Composite 6.2/10 (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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time549ms−22ms

first ⅓ avg 571ms → last ⅓ avg 549ms

Headshot accuracy21.3%+2.8%

first ⅓ avg 18.4% → last ⅓ avg 21.3%

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 — dust2 13–11

13–1Biggest win — inferno

4Longest win streak

10–9In matches decided by ≤2 rounds

16Overtime games

Map breakdown

cacheBest map · 60% over 5dust2Weakest map · 44% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	10–11	48%	0.00
dust2	C	16	7–9	44%	0.01
inferno	C	16	7–9	44%	0.00
ancient	B	12	6–6	50%	0.00
anubis	A	11	6–5	55%	0.01
nuke	B	10	5–5	50%	-0.00
overpass	C	9	4–5	44%	0.01
cache	A	5	3–2	60%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

61Matches

59%Win rate

1.13Avg K/D

88.2ADR

49%Headshot %

Clutches & streaks

40%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	16	62%	1.09	17.2
Mirage	12	75%	1.01	17.8
Inferno	10	30%	1.09	16.8
Vertigo	9	78%	1.53	22.3
Anubis	4	50%	1.10	15.5
Train	4	75%	1.09	17.8
Nuke	3	33%	1.05	10.7
Ancient	2	0%	1.00	17.0

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.

22.2%Headshot accuracy

35.8%Accuracy (enemy spotted)

35.3%Spray accuracy

87.4%Counter-strafing

8.4°Preaim

560msReaction time

36.4%T opening success

40.4%CT opening success

0.64Enemies flashed / flash

4.1%Flash assists

11.97HE damage / grenade

5.74Flashes / 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 36.4181% — 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.

44% win rate across 16 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
anubis	5–13	0.00	15%	31 Jul →
dust2	15–15	0.03	17%	31 Jul →
mirage	10–13	-0.01	34%	31 Jul →
dust2	11–13	0.04	26%	30 Jul →
cache	16–13	0.05	29%	30 Jul →
mirage	4–13	-0.08	26%	30 Jul →
ancient	4–13	0.00	17%	30 Jul →
mirage	7–13	0.01	29%	29 Jul →
inferno	0–2	-0.09	0%	29 Jul →
ancient	6–13	-0.01	27%	29 Jul →
mirage	13–7	-0.04	19%	28 Jul →
dust2	11–13	0.07	23%	28 Jul →
mirage	15–15	0.00	15%	27 Jul →
inferno	13–7	0.04	18%	27 Jul →
mirage	13–16	-0.04	15%	27 Jul →
ancient	16–14	0.01	2%	24 Jul →
dust2	13–11	0.02	22%	24 Jul →
mirage	7–13	-0.03	17%	24 Jul →
inferno	8–13	-0.01	21%	24 Jul →
dust2	13–6	-0.03	26%	23 Jul →
cache	5–13	0.03	24%	23 Jul →
inferno	15–15	-0.01	27%	23 Jul →
nuke	13–11	-0.02	21%	16 Jul →
mirage	13–9	0.01	24%	16 Jul →
cache	9–13	0.03	30%	9 Jul →
ancient	13–10	0.07	29%	9 Jul →
cache	13–10	0.01	25%	9 Jul →
cache	13–7	0.04	37%	3 May →
overpass	13–11	-0.02	26%	6 Apr →
mirage	1–13	-0.10	6%	30 Mar →
dust2	11–13	-0.01	18%	29 Mar →
dust2	19–16	0.08	24%	29 Mar →
dust2	7–13	-0.04	11%	28 Mar →
nuke	8–13	-0.02	28%	28 Mar →
anubis	7–13	-0.04	11%	28 Mar →
inferno	15–15	0.09	13%	28 Mar →
inferno	13–6	0.01	17%	26 Mar →
ancient	10–13	-0.02	19%	26 Mar →
overpass	11–13	0.01	23%	23 Mar →
anubis	10–13	0.03	26%	23 Mar →
mirage	16–14	-0.01	17%	22 Mar →
dust2	11–13	-0.00	22%	22 Mar →
anubis	8–13	-0.03	18%	21 Mar →
inferno	16–14	0.02	22%	21 Mar →
anubis	16–12	-0.01	16%	21 Mar →
ancient	13–9	0.03	17%	20 Mar →
anubis	6–2	0.05	20%	20 Mar →
ancient	11–13	0.01	19%	19 Mar →
overpass	13–11	0.03	28%	19 Mar →
mirage	11–13	0.07	27%	19 Mar →
mirage	13–11	-0.02	24%	19 Mar →
nuke	15–15	-0.04	18%	19 Mar →
nuke	13–7	0.04	32%	11 Mar →
mirage	13–7	0.03	28%	11 Mar →
inferno	4–13	-0.10	15%	11 Mar →
dust2	13–3	-0.03	19%	4 Mar →
nuke	16–14	0.01	12%	1 Mar →
inferno	5–13	-0.05	21%	1 Mar →
dust2	13–5	0.05	23%	28 Feb →
overpass	16–12	0.02	14%	28 Feb →
mirage	13–5	0.00	23%	28 Feb →
mirage	11–13	0.04	32%	28 Feb →
mirage	13–10	0.04	23%	28 Feb →
mirage	7–13	0.06	19%	28 Feb →
mirage	13–8	0.03	16%	22 Feb →
nuke	5–13	0.04	13%	22 Feb →
dust2	13–11	0.12	26%	22 Feb →
anubis	13–8	0.00	14%	22 Feb →
inferno	9–13	-0.01	16%	22 Feb →
nuke	13–3	-0.03	19%	22 Feb →
ancient	13–3	-0.04	17%	22 Feb →
inferno	13–10	0.05	7%	22 Feb →
nuke	13–4	0.08	23%	22 Feb →
dust2	8–13	-0.02	3%	22 Feb →
ancient	8–0	0.07	9%	22 Feb →
inferno	7–13	-0.02	21%	21 Feb →
anubis	6–13	0.01	16%	21 Feb →
nuke	9–13	-0.03	24%	21 Feb →
dust2	2–13	-0.08	35%	21 Feb →
anubis	13–3	0.03	24%	21 Feb →
overpass	9–13	-0.02	15%	21 Feb →
overpass	10–13	-0.01	22%	21 Feb →
mirage	13–2	0.11	28%	20 Feb →
inferno	13–1	0.04	23%	20 Feb →
overpass	5–13	-0.00	24%	20 Feb →
dust2	13–6	0.01	13%	20 Feb →
anubis	16–13	0.02	15%	20 Feb →
ancient	3–13	-0.09	14%	19 Feb →
anubis	13–8	0.04	15%	19 Feb →
overpass	7–13	0.06	20%	19 Feb →
overpass	7–2	0.04	15%	19 Feb →
ancient	13–6	0.03	31%	19 Feb →
inferno	13–6	0.04	21%	19 Feb →
inferno	5–13	-0.03	21%	18 Feb →
ancient	10–13	-0.04	18%	18 Feb →
inferno	13–6	0.06	15%	18 Feb →
nuke	8–13	-0.04	16%	16 Feb →
mirage	13–5	0.02	12%	16 Feb →
dust2	9–13	-0.01	21%	16 Feb →
mirage	15–15	0.00	21%	16 Feb →