Tonimo

Tonimo — CS2 Stats

FI76561197985727755[U:1:25462027]Steam profile ↗✓ No bans

1,541Tracked matches31%Win rate2020Tracked since
CSDB Rating5.3 DevelopingSupport
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,737 -294 10 Mar – 24 Jun · 13 days played
14,64418,071peak 18,07110 Mar24 Jun
18,071Peak Premier in tracked matches
36Days played since 2026-03-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGTonimoFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning66
Utility70

0–100 skill scores via Leetify.

Recent form

COLD42–57–1Last 10042%Win rateLLLLLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −0.6pp headshot accuracy · −77ms reaction

Win rate down 30pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 573ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 574ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 613ms

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 (+1.5 against its own average).

Aim5.8
Utility7.0
Positioning6.6
Opening Duels3.7
Clutch4.6

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

ZywOo

Plays most like ZywOo 70% 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

Reaction time. 596ms 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

Aim5.8
Positioning6.6
Utility7.0
Mechanics4.5
Opening Duels5.1
Win Impact0.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time601ms−55ms
first ⅓ avg 656ms → last ⅓ avg 601ms
Headshot accuracy13.7%−0.8%
first ⅓ avg 14.5% → last ⅓ avg 13.7%

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

0.13Best match rating · 13–7 · inferno, 5 Jun →
29%Best headshot accuracy · 10–13 · dust2, 16 Apr →
453msFastest reaction time · 9–13 · inferno, 13 Sept →
13–3Biggest win · inferno, 3 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L9Current streak
6–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 60% over 5ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoC2611–1542%0.00
nukeD196–1332%-0.01
dust2C188–1044%-0.02
mirageB147–750%-0.02
ancientD134–931%-0.02
cacheA53–260%-0.01
anubis—31–233%-0.04
overpass—22–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

273Matches
51%Win rate
1.08Avg K/D
80.5ADR
39%Headshot %

Clutches & streaks

43%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno5050%1.1615.7
Nuke4751%1.1116.2
Dust23361%1.0815.3
Ancient3352%1.0817.5
Mirage2167%1.0915.1
Overpass1338%1.0014.1
Anubis838%1.0416.0
Cache633%0.9811.8

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.

12.9%Headshot accuracy
37.1%Accuracy (enemy spotted)
38.3%Spray accuracy
70.4%Counter-strafing
10.4°Preaim
596msReaction time
53.9%T opening success
47.2%CT opening success
0.60Enemies flashed / flash
12.2%Flash assists
8.62HE damage / grenade
14.92Flashes / 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.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.9041% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.065%11 Oct →
inferno5–130.049%11 Oct →
cache7–13-0.058%11 Oct →
dust28–130.0020%7 Oct →
ancient4–13-0.0113%7 Oct →
nuke6–13-0.0220%7 Oct →
inferno9–13-0.0014%4 Oct →
ancient16–19-0.045%4 Oct →
nuke5–130.0412%4 Oct →
mirage13–90.0418%4 Oct →
ancient15–150.0312%4 Oct →
nuke6–130.0917%4 Oct →
inferno13–70.0319%4 Oct →
nuke13–90.0110%29 Sept →
dust213–90.0216%29 Sept →
nuke5–13-0.0515%29 Sept →
ancient2–13-0.048%29 Sept →
ancient7–13-0.028%27 Sept →
nuke9–130.0213%27 Sept →
nuke13–4-0.0215%27 Sept →
inferno6–13-0.0621%24 Sept →
inferno16–14-0.0111%15 Sept →
cache13–110.0515%15 Sept →
inferno9–130.0320%13 Sept →
mirage14–16-0.0213%13 Sept →
ancient14–160.0314%13 Sept →
ancient13–10-0.021%2 Sept →
inferno6–130.0314%2 Sept →
mirage10–13-0.059%2 Sept →
inferno13–8-0.0219%2 Sept →
cache4–13-0.0224%30 Aug →
mirage6–13-0.0427%30 Aug →
ancient13–9-0.038%30 Aug →
cache13–100.0016%30 Aug →
inferno13–50.0912%18 Aug →
dust213–90.0519%18 Aug →
inferno13–10-0.0120%18 Aug →
inferno10–13-0.0212%18 Aug →
dust22–13-0.0813%16 Aug →
dust28–13-0.0517%16 Aug →
inferno13–30.0117%3 Aug →
inferno13–11-0.0014%29 Jul →
nuke6–13-0.0323%29 Jul →
dust210–130.0013%29 Jul →
cache13–8-0.0216%29 Jul →
dust26–13-0.079%29 Jul →
nuke9–13-0.0414%28 Jul →
dust29–13-0.0621%28 Jul →
nuke13–30.0113%27 Jul →
mirage13–9-0.0421%27 Jul →
nuke13–6-0.0126%26 Jul →
nuke10–13-0.0911%22 Jul →
mirage13–100.0117%15 Jul →
inferno0–4-0.010%15 Jul →
anubis6–13-0.0811%15 Jul →
ancient6–13-0.0615%24 Jun →
anubis13–7-0.0115%24 Jun →
dust213–5-0.047%24 Jun →
nuke13–10-0.035%24 Jun →
inferno9–13-0.0513%17 Jun →
mirage13–80.0413%17 Jun →
mirage13–10-0.0413%16 Jun →
overpass13–5-0.0215%16 Jun →
ancient13–60.0411%16 Jun →
dust216–14-0.0215%16 Jun →
inferno13–70.1327%5 Jun →
mirage4–13-0.0221%5 Jun →
nuke11–130.0615%5 Jun →
inferno13–10-0.0518%4 Jun →
mirage13–8-0.0116%4 Jun →
ancient13–11-0.0022%4 Jun →
nuke8–13-0.0415%13 May →
inferno8–13-0.0621%13 May →
inferno7–130.0216%10 May →
mirage9–13-0.033%10 May →
mirage2–13-0.0618%10 May →
mirage7–13-0.0316%3 May →
anubis11–13-0.0413%3 May →
dust211–130.0125%2 May →
inferno9–130.089%2 May →
nuke8–13-0.0313%2 May →
inferno11–13-0.0210%16 Apr →
dust210–13-0.0229%16 Apr →
overpass13–80.0320%5 Apr →
inferno13–110.0117%5 Apr →
nuke6–13-0.045%5 Apr →
inferno3–130.0117%4 Apr →
dust213–10-0.0314%4 Apr →
inferno9–13-0.080%3 Apr →
dust213–80.0316%3 Apr →
nuke1–13-0.0815%3 Apr →
mirage13–8-0.0218%20 Mar →
dust213–9-0.0012%20 Mar →
inferno14–160.0315%20 Mar →
dust24–130.0318%17 Mar →
inferno13–9-0.0016%17 Mar →
ancient10–13-0.067%17 Mar →
nuke13–60.0612%17 Mar →
dust29–13-0.068%15 Mar →
dust213–10-0.0110%10 Mar →

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 →

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