Toniip

Toniip — CS2 Stats

NO76561198007965980[U:1:47700252]Steam profile ↗✓ No bans

2,525Tracked matches54%Win rate2022Tracked since
3,553Hours in CS22Hrs last 2 wks
CSDB Rating5.8 SolidSupport
CSDB Leaderboard#21988 of 260012 tracked
FaceitLevel 8 · 1,319 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 25,000 -328 10 Aug – 29 Sept · 11 days played
25,00025,671peak 25,67110 Aug29 Sept
25,832Peak Premier in tracked matches
1,319Highest Faceit ELO seen on CSDB
34Days played since 2026-08-08

Faceit ELO

  • At peak — 1,319
  • Next: Level 7 at 1,351 — 32 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-03
  • Level 5 first seen 2026-09-03

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 Level 8 among CSDB-tracked players (n=15,525), 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.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate47.1%46.8%48.2%1.1% short
Shot accuracy5.6%13.0%13.2%7.6% short
Kill/death ratio1.141.061.07above
Match win rate45.9%46.3%46.9%1.0% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGToniipFACEITLevel 8 · 1,319 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,319csdb.gg/stats

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Performance scores

Aim81
Positioning64
Utility71

0–100 skill scores via Leetify.

Recent form

COLD52–44–4Last 10052%Win rateWLLLLLLWWL

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · +1.0pp headshot accuracy · +4ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 17%
  • Avg reaction 447ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 505ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 502ms

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 (+1.6 against its own average).

Aim8.1
Utility7.1
Positioning6.4
Opening Duels4.1
Clutch4.4

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Areas to improve

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim8.1
Positioning6.4
Utility7.1
Mechanics4.0
Opening Duels4.4
Win Impact6.2

Composite 5.8/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time496ms−34ms
first ⅓ avg 530ms → last ⅓ avg 496ms
Headshot accuracy14.7%−5.0%
first ⅓ avg 19.7% → last ⅓ avg 14.7%

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.

Personal bests

0.21Best match rating · 13–2 · anubis, 4 Sept →
38%Best headshot accuracy · 13–9 · cache, 13 Aug →
367msFastest reaction time · 3–13 · inferno, 26 Aug →
13–1Biggest win · inferno, 31 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–3In matches decided by ≤2 rounds
10Overtime games

Map breakdown

vertigoBest map · 80% over 5dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA3723–1462%0.01
mirageB179–853%0.03
nukeB157–847%0.01
anubisB84–450%0.07
dust2D51–420%0.02
vertigoS54–180%0.01
cacheC52–340%0.00
train—31–233%0.00
overpass—30–30%-0.08
ancient—21–150%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

100,564Lifetime kills
1.14K/D · Top 50% of Level 8 players
5,114Matches
45.9%Match win rate
47.1%Headshot % · Top 50% of Level 8 players
5.6%Shot accuracy
13,236MVPs
1,733Hours (in match)
3,834Bombs planted
1,385Bombs defused

Most-used weapons

AK-4724,545
AWP15,380
MP92,569
FAMAS2,511
MAC-101,972

Lifetime map wins

11,639inferno
4,805nuke
3,121vertigo
2,524dust2
1,254train
279lake
278cbble
197office

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

Faceit stats

Combat

274Matches
53%Win rate
1.19Avg K/D
87.6ADR
46%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5866%1.1716.5
Inferno5456%1.4717.6
Nuke3863%1.2317.1
Anubis3339%1.1116.2
Ancient3345%1.1016.1
Dust21828%0.9815.4
Cache862%0.9115.4
Vertigo862%1.2618.1

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.

15.2%Headshot accuracy
41.4%Accuracy (enemy spotted)
42.1%Spray accuracy
67.9%Counter-strafing
8.6°Preaim
497msReaction time
50.3%T opening success
45.1%CT opening success
0.58Enemies flashed / flash
7.7%Flash assists
12.16HE damage / grenade
14.90Flashes / match

Recommended for you

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 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–100.1115%3 Nov →
inferno8–13-0.0018%3 Nov →
inferno3–130.036%3 Nov →
ancient4–130.0128%2 Nov →
mirage8–130.0819%2 Nov →
nuke4–130.0115%2 Nov →
dust28–130.0128%2 Nov →
mirage13–80.0614%1 Nov →
nuke13–60.0115%1 Nov →
inferno3–13-0.046%1 Nov →
inferno11–130.0025%1 Nov →
inferno13–100.0022%31 Oct →
inferno13–10.0216%31 Oct →
inferno13–11-0.010%31 Oct →
inferno13–80.0811%31 Oct →
inferno13–60.0311%31 Oct →
inferno12–120.0121%31 Oct →
inferno13–110.0419%31 Oct →
inferno13–70.0715%31 Oct →
train9–13-0.0313%30 Oct →
vertigo19–160.0412%19 Oct →
inferno9–13-0.074%19 Oct →
anubis11–13-0.0123%19 Oct →
inferno2–9-0.210%19 Oct →
inferno9–40.0422%19 Oct →
inferno13–100.0816%18 Oct →
mirage12–120.0213%18 Oct →
anubis13–50.1919%18 Oct →
mirage7–13-0.0518%17 Oct →
cache13–5-0.0113%17 Oct →
overpass8–8-0.200%17 Oct →
inferno9–40.0217%17 Oct →
inferno9–50.0716%17 Oct →
nuke8–80.0121%17 Oct →
inferno9–6-0.0317%17 Oct →
vertigo9–7-0.0421%17 Oct →
inferno9–4-0.0425%17 Oct →
inferno13–80.029%13 Oct →
mirage4–13-0.0313%13 Oct →
inferno13–90.0616%11 Oct →
dust210–130.0317%5 Oct →
inferno8–13-0.019%1 Oct →
nuke13–110.0723%1 Oct →
anubis6–13-0.0214%29 Sept →
nuke13–160.0214%27 Sept →
inferno13–7-0.0426%27 Sept →
mirage9–130.0936%26 Sept →
nuke3–130.0411%26 Sept →
mirage5–130.0320%25 Sept →
inferno13–100.0727%25 Sept →
nuke8–130.0418%25 Sept →
mirage9–130.1117%25 Sept →
dust210–130.0117%19 Sept →
mirage13–90.1425%19 Sept →
nuke5–13-0.0637%19 Sept →
vertigo13–50.1018%19 Sept →
cache2–13-0.0913%13 Sept →
nuke13–30.0019%13 Sept →
nuke13–100.0222%12 Sept →
anubis13–50.1433%12 Sept →
inferno10–130.0430%12 Sept →
train13–110.0733%12 Sept →
nuke4–13-0.0812%11 Sept →
mirage13–10-0.0220%11 Sept →
inferno10–130.0117%11 Sept →
inferno13–110.0219%10 Sept →
dust211–13-0.0419%10 Sept →
overpass5–13-0.0413%6 Sept →
mirage19–170.0316%6 Sept →
nuke13–110.0116%6 Sept →
mirage0–13-0.0520%4 Sept →
anubis13–20.215%4 Sept →
inferno13–20.0119%4 Sept →
inferno13–90.0512%1 Sept →
nuke16–14-0.0217%1 Sept →
anubis6–130.0223%31 Aug →
mirage16–130.0720%26 Aug →
inferno3–13-0.0418%26 Aug →
cache4–130.0517%24 Aug →
mirage16–130.0016%24 Aug →
nuke10–130.0425%23 Aug →
mirage13–50.0615%23 Aug →
anubis16–130.0118%23 Aug →
train4–13-0.0413%23 Aug →
cache8–130.0416%23 Aug →
nuke13–90.0833%21 Aug →
vertigo19–17-0.0220%21 Aug →
dust213–90.0819%21 Aug →
mirage13–80.0020%21 Aug →
overpass13–16-0.0116%15 Aug →
inferno13–70.0032%15 Aug →
mirage13–110.0324%15 Aug →
cache13–90.0238%13 Aug →
inferno6–13-0.0217%13 Aug →
anubis13–160.0219%10 Aug →
inferno2–13-0.0718%10 Aug →
ancient13–70.0014%9 Aug →
inferno6–90.0125%8 Aug →
inferno9–4-0.0426%8 Aug →
vertigo6–9-0.0132%8 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.