Tonts2

Tonts2 — CS2 Stats

AL76561199004676142[U:1:1044410414]Steam profile ↗✓ No bans

450Tracked matches61%Win rate2020Tracked since
922Hours in CS42Hrs last 2 wks
CSDB Rating3.5 LearningPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim31
Positioning37
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY50–38–12Last 10050%Win rateTWWLLWTLWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +2.5pp headshot accuracy · −17ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 12%
  • Avg reaction 670ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 631ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 640ms

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: Positional Player — Positioning stands above the rest of this profile (+2.2 against its own average).

Aim3.1
Utility2.4
Positioning3.7
Opening Duels0.0
Clutch0.0

Limited utility dependence

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 79% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 619ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.1
Positioning3.7
Utility2.4
Mechanics3.6
Opening Duels0.2
Win Impact8.6

Composite 3.5/10 (Learning), 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-0.02+0.03
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time591ms−70ms
first ⅓ avg 661ms → last ⅓ avg 591ms
Headshot accuracy9.4%−3.6%
first ⅓ avg 12.9% → last ⅓ avg 9.4%

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.

Personal bests

0.23Best match rating · 13–5 · anubis, 6 Nov →
75%Best headshot accuracy · 9–1 · inferno, 19 Oct →
438msFastest reaction time · 13–4 · dust2, 11 Nov →
13–0Biggest win · dust2, 5 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–4In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 64% over 11anubisWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC2711–1641%-0.04
mirageA2011–955%-0.04
nukeB178–947%-0.04
cacheA117–464%-0.04
dust2A116–555%-0.04
anubisC52–340%0.01
vertigo—42–250%-0.02
ancient—33–0100%-0.00
overpass—20–20%-0.16

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,819Lifetime kills
0.90K/D
1,640Matches
37.6%Match win rate
33.8%Headshot %
12.4%Shot accuracy
2,520MVPs
484Hours (in match)
1,376Bombs planted
286Bombs defused

Most-used weapons

Lifetime map wins

1,512inferno
1,507nuke
655vertigo
565dust2
255cbble
73lake
22ar_shoots
15safehouse

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

Faceit stats

Combat

3Matches
33%Win rate
0.60Avg K/D
63.0ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.7010.5
Nuke10%0.408.0

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.

9.1%Headshot accuracy
29.7%Accuracy (enemy spotted)
29.2%Spray accuracy
66.4%Counter-strafing
9.8°Preaim
619msReaction time
31.3%T opening success
24.1%CT opening success
0.46Enemies flashed / flash
6.0%Flash assists
4.71HE damage / grenade
3.08Flashes / 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 9.0533% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4583 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 31.2839% — below the 40% mark we flag

Spend your practice time on Anubis

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno12–12-0.0620%14 Nov →
nuke13–8-0.080%14 Nov →
cache13–11-0.057%12 Nov →
inferno4–13-0.1223%12 Nov →
dust25–13-0.069%12 Nov →
dust213–4-0.0514%11 Nov →
anubis12–12-0.082%11 Nov →
nuke10–130.109%11 Nov →
cache13–50.0113%10 Nov →
ancient13–70.059%10 Nov →
mirage8–1-0.0110%10 Nov →
dust28–2-0.0316%10 Nov →
nuke13–80.039%10 Nov →
inferno6–13-0.035%9 Nov →
mirage10–00.010%9 Nov →
dust211–13-0.010%9 Nov →
nuke6–13-0.124%9 Nov →
mirage13–50.016%9 Nov →
mirage6–13-0.0719%9 Nov →
nuke5–13-0.1313%9 Nov →
inferno0–2-0.080%9 Nov →
inferno13–7-0.0210%9 Nov →
anubis6–13-0.0214%9 Nov →
inferno1–9-0.1231%9 Nov →
nuke13–5-0.025%8 Nov →
ancient8–1-0.0210%8 Nov →
mirage9–13-0.0610%7 Nov →
inferno13–100.0012%7 Nov →
nuke13–80.006%7 Nov →
inferno13–10-0.028%6 Nov →
inferno9–30.125%6 Nov →
dust213–10-0.109%6 Nov →
anubis13–50.236%6 Nov →
anubis11–13-0.056%5 Nov →
dust213–00.0114%5 Nov →
anubis13–4-0.0510%5 Nov →
mirage13–11-0.113%5 Nov →
nuke13–30.0611%5 Nov →
inferno6–20.1612%5 Nov →
cache2–13-0.087%4 Nov →
mirage12–12-0.019%4 Nov →
mirage0–6-0.036%4 Nov →
inferno12–120.0417%4 Nov →
cache13–8-0.054%3 Nov →
mirage8–13-0.0610%2 Nov →
inferno13–11-0.069%29 Oct →
mirage13–4-0.070%29 Oct →
inferno5–13-0.1114%28 Oct →
vertigo0–13-0.065%28 Oct →
mirage13–9-0.0117%28 Oct →
cache13–7-0.064%27 Oct →
inferno9–13-0.056%27 Oct →
dust212–12-0.0216%27 Oct →
nuke9–13-0.0312%27 Oct →
nuke7–9-0.147%27 Oct →
inferno3–9-0.0710%27 Oct →
cache9–130.016%27 Oct →
inferno12–120.099%27 Oct →
inferno13–5-0.098%26 Oct →
mirage4–13-0.0610%26 Oct →
nuke13–11-0.028%26 Oct →
mirage12–12-0.098%26 Oct →
nuke4–13-0.013%26 Oct →
inferno12–12-0.0510%25 Oct →
cache4–13-0.045%25 Oct →
vertigo12–12-0.085%24 Oct →
inferno12–120.018%24 Oct →
ancient13–5-0.0310%24 Oct →
inferno13–4-0.076%24 Oct →
dust29–13-0.028%23 Oct →
cache13–6-0.0114%23 Oct →
inferno13–6-0.0212%23 Oct →
mirage13–11-0.0813%23 Oct →
mirage13–20.0517%23 Oct →
inferno2–13-0.058%23 Oct →
mirage12–12-0.0114%22 Oct →
cache4–13-0.092%22 Oct →
nuke13–30.0615%22 Oct →
nuke13–8-0.0617%22 Oct →
overpass3–13-0.105%22 Oct →
dust212–12-0.0615%22 Oct →
dust213–2-0.0720%22 Oct →
vertigo13–10.0212%22 Oct →
cache13–5-0.0810%22 Oct →
inferno13–8-0.0011%22 Oct →
mirage4–13-0.075%21 Oct →
nuke7–13-0.105%21 Oct →
inferno4–9-0.103%20 Oct →
inferno9–1-0.0275%19 Oct →
inferno5–9-0.1716%19 Oct →
overpass4–9-0.2119%16 Oct →
inferno4–9-0.0717%15 Oct →
vertigo9–60.0413%15 Oct →
nuke2–9-0.240%14 Oct →
mirage13–8-0.0710%14 Oct →
mirage7–10-0.0919%14 Oct →
dust213–4-0.0014%14 Oct →
nuke2–11-0.010%13 Oct →
mirage13–5-0.0310%13 Oct →
cache13–00.0513%13 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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