★ TonniKana ★ — CS2 Stats

FI76561198016242968[U:1:55977240]Steam profile ↗✓ No bans

6,474Tracked matches40%Win rate2020Tracked since

9,559Hours in CS23Hrs last 2 wks

CSDB Rating6.3 SolidSupport

Premier CS Rating24,891Top 25% of 213,399 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)

CSDB Leaderboard#24319 of 259982 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,891 +2,231 30 Aug – 4 Nov · 19 days played

Faceit ELO: 1,857 +0 30 Aug – 21 Sept · 4 observations

25,692Peak Premier in tracked matches

1,857Highest Faceit ELO seen on CSDB

25Days played since 2026-08-30

Premier CS Rating

109 below peak (25,000)
+3,053 over 30 days · improving
Next: Red band at 25,000 — 109 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-08-30
Purple band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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	Pink band median	Red band median	vs Red band
Headshot rate	37.8%	46.9%	49.3%	11.5% short
Shot accuracy	15.9%	13.0%	13.4%	above
Kill/death ratio	1.09	1.08	1.12	0.03 short
Match win rate	48.2%	46.7%	48.5%	meets

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim75

Positioning56

Utility77

0–100 skill scores via Leetify.

Recent form

STEADY41–57–2Last 10041%Win rateLWWLLWLWLL

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · +1.0pp headshot accuracy · −59ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 18%
Avg reaction 537ms

Last 10

4–6 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 17%
Avg reaction 567ms

Last 20

6–14 · 30% win rate
Avg rating 0.01
Avg headshot accuracy 16%
Avg reaction 597ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.9 against its own average).

Aim7.5

Utility7.7

Positioning5.6

Opening Duels1.7

Clutch4.4

Effective flashesHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 73% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

Strengths

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

Reaction time. 593ms 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

Aim7.5

Positioning5.6

Utility7.7

Mechanics7.8

Opening Duels2.7

Win Impact1.7

Composite 6.3/10 (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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time593ms+20ms

first ⅓ avg 573ms → last ⅓ avg 593ms

Headshot accuracy15.5%+0.8%

first ⅓ avg 14.7% → last ⅓ avg 15.5%

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.

Personal bests

0.11Best match rating · 9–13 · mirage, 26 Oct →

36%Best headshot accuracy · 7–13 · inferno, 2 Oct →

406msFastest reaction time · 13–1 · inferno, 16 Oct →

13–0Biggest win · inferno, 18 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

8–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 59% over 22dust2Weakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	22	13–9	59%	0.02
anubis	C	15	6–9	40%	-0.00
nuke	C	13	5–8	38%	0.00
ancient	C	12	5–7	42%	0.00
cache	C	11	4–7	36%	0.01
mirage	D	10	3–7	30%	0.01
dust2	D	10	2–8	20%	0.01
rush_001	—	3	2–1	67%	0.06
vertigo	—	2	0–2	0%	-0.04
overpass	—	1	0–1	0%	0.02
train	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

252,764Lifetime kills

1.09K/D · Top 50% of Pink band

12,057Matches

48.2%Match win rate · Top 50% of Pink band

37.8%Headshot %

15.9%Shot accuracy · Top 25% of Pink band

30,688MVPs

5,785Hours (in match)

23,090Bombs planted

3,935Bombs defused

Most-used weapons

AK-4775,699

M4A4 / M4A1-S38,409

AWP38,338

Desert Eagle13,942

P2000 / USP-S11,222

Glock-188,558

FAMAS7,683

P2505,881

MP95,637

Galil AR5,589

Lifetime map wins

28,558dust2

18,914inferno

13,204nuke

8,521train

6,728vertigo

1,616office

1,238cbble

384italy

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

Faceit stats

Combat

771Matches

53%Win rate

1.12Avg K/D

81.8ADR

38%Headshot %

Clutches & streaks

42%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	108	53%	1.15	17.1
Nuke	87	59%	1.17	16.7
Anubis	75	55%	1.29	15.2
Mirage	71	49%	1.15	15.7
Inferno	49	65%	1.29	16.4
Dust2	40	50%	1.08	15.3
Vertigo	24	50%	1.17	15.5
Overpass	16	50%	1.05	14.8

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.

15.5%Headshot accuracy

37.7%Accuracy (enemy spotted)

44.7%Spray accuracy

85.0%Counter-strafing

11.3°Preaim

593msReaction time

43.1%T opening success

38.9%CT opening success

0.70Enemies flashed / flash

10.4%Flash assists

10.23HE damage / grenade

13.62Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.8593% — 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.

20% win rate across 10 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
mirage	8–13	0.04	17%	4 Nov →
inferno	13–7	0.01	18%	4 Nov →
anubis	13–9	0.04	20%	4 Nov →
vertigo	8–13	0.01	19%	31 Oct →
anubis	10–13	-0.04	14%	30 Oct →
inferno	13–8	0.06	21%	26 Oct →
mirage	9–13	0.11	16%	26 Oct →
ancient	13–6	0.03	13%	26 Oct →
cache	8–13	0.02	20%	25 Oct →
inferno	5–13	0.03	8%	25 Oct →
vertigo	2–13	-0.08	25%	23 Oct →
anubis	1–13	-0.04	11%	23 Oct →
ancient	2–13	-0.03	21%	23 Oct →
dust2	1–13	-0.05	8%	23 Oct →
nuke	13–11	-0.05	9%	23 Oct →
dust2	3–13	0.07	17%	23 Oct →
cache	3–13	0.00	16%	23 Oct →
mirage	9–13	-0.00	19%	23 Oct →
inferno	13–3	0.00	21%	23 Oct →
inferno	6–13	0.01	10%	23 Oct →
anubis	6–13	0.02	21%	23 Oct →
dust2	13–5	0.08	12%	23 Oct →
anubis	1–13	-0.04	21%	16 Oct →
mirage	13–11	0.03	15%	16 Oct →
cache	13–4	-0.04	9%	16 Oct →
inferno	13–1	0.07	0%	16 Oct →
inferno	13–9	0.03	18%	16 Oct →
nuke	1–13	-0.07	30%	16 Oct →
anubis	4–13	-0.09	0%	16 Oct →
cache	13–10	0.01	15%	16 Oct →
ancient	15–15	0.01	16%	16 Oct →
inferno	13–5	0.09	11%	16 Oct →
ancient	13–5	0.04	22%	16 Oct →
nuke	13–9	0.04	18%	16 Oct →
anubis	16–14	0.03	12%	12 Oct →
nuke	6–13	-0.00	21%	12 Oct →
anubis	13–11	0.07	19%	11 Oct →
ancient	6–13	0.06	11%	10 Oct →
overpass	9–13	0.02	13%	10 Oct →
inferno	13–6	0.06	32%	9 Oct →
train	13–9	-0.01	22%	8 Oct →
nuke	9–13	0.07	18%	8 Oct →
inferno	2–13	-0.12	7%	3 Oct →
ancient	4–13	-0.07	4%	3 Oct →
nuke	11–13	-0.04	10%	2 Oct →
anubis	8–13	-0.01	6%	2 Oct →
cache	10–13	-0.06	21%	2 Oct →
mirage	13–10	-0.02	13%	2 Oct →
inferno	12–16	-0.00	8%	2 Oct →
nuke	9–13	0.02	12%	2 Oct →
anubis	9–13	-0.04	3%	2 Oct →
ancient	16–13	0.02	12%	2 Oct →
dust2	5–13	-0.03	16%	2 Oct →
dust2	5–13	-0.04	20%	2 Oct →
inferno	7–13	0.02	36%	2 Oct →
mirage	9–13	-0.03	13%	2 Oct →
anubis	6–13	-0.01	5%	2 Oct →
rush_001	4–8	-0.01	13%	2 Oct →
rush_001	6–2	0.09	7%	2 Oct →
rush_001	6–2	0.09	33%	2 Oct →
inferno	11–13	-0.00	9%	1 Oct →
inferno	13–8	0.03	5%	27 Sept →
ancient	8–13	-0.02	17%	27 Sept →
ancient	13–11	0.05	10%	27 Sept →
nuke	9–13	0.05	20%	25 Sept →
mirage	3–13	-0.05	19%	25 Sept →
inferno	1–13	-0.07	10%	25 Sept →
inferno	13–11	0.06	15%	25 Sept →
cache	9–13	0.04	16%	25 Sept →
nuke	13–7	0.04	20%	25 Sept →
dust2	8–13	-0.01	17%	25 Sept →
mirage	13–5	-0.01	11%	25 Sept →
cache	13–7	0.02	4%	25 Sept →
ancient	13–2	0.03	9%	25 Sept →
dust2	16–13	-0.00	14%	25 Sept →
ancient	10–13	-0.04	18%	25 Sept →
nuke	11–13	-0.05	13%	24 Sept →
anubis	13–3	0.01	15%	24 Sept →
dust2	8–13	0.08	18%	23 Sept →
anubis	13–7	0.03	12%	21 Sept →
mirage	7–13	0.05	17%	21 Sept →
mirage	0–13	-0.06	25%	18 Sept →
nuke	4–13	-0.02	18%	18 Sept →
anubis	16–14	0.02	16%	18 Sept →
inferno	13–0	0.04	21%	18 Sept →
cache	11–13	0.02	15%	18 Sept →
inferno	9–13	-0.03	12%	17 Sept →
cache	16–14	0.09	24%	13 Sept →
inferno	13–4	0.10	19%	13 Sept →
inferno	5–13	-0.07	6%	12 Sept →
nuke	13–6	0.06	14%	12 Sept →
cache	11–13	0.07	16%	12 Sept →
inferno	13–6	-0.01	10%	12 Sept →
ancient	15–15	-0.07	10%	11 Sept →
dust2	11–13	-0.03	16%	11 Sept →
nuke	16–12	-0.01	19%	11 Sept →
inferno	13–9	0.07	8%	11 Sept →
anubis	11–13	0.02	13%	11 Sept →
cache	2–13	-0.07	9%	11 Sept →
dust2	13–16	0.00	16%	11 Sept →