Tonka Jahari

Tonka Jahari — CS2 Stats

HM76561199104997621[U:1:1144731893]Steam profile ↗✓ No bans

367Tracked matches53%Win rate2023Tracked since
387Hours in CS
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating13,730Blue band · top ~35.1% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Aug 2026 (75 days ago). 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: 13,730 +1,052 8 Feb – 22 Aug · 8 days played
12,67813,730peak 13,7308 Feb22 Aug
13,730Peak Premier in tracked matches
41Days played since 2026-02-07

Premier CS Rating

  • At peak — 13,730
  • +41 over 90 days
  • Next: Purple band at 15,000 — 1,270 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate40.9%42.0%44.4%3.4% short
Shot accuracy11.9%9.6%11.9%meets
Kill/death ratio1.040.981.03meets
Match win rate38.6%43.8%45.2%6.6% short

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

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

Share this profile

CSDB.GGTonka JahariPREMIER13,730 · Blue bandcsdb.gg/stats

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Performance scores

Aim55
Positioning56
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWWWLLWLWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +4.3pp headshot accuracy · +80ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 616ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 581ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 541ms

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).

Aim5.5
Utility5.0
Positioning5.6
Opening Duels2.9
Clutch0.0

Strong CT-side opener

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

jL

Plays most like jL 79% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 55% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.5
Positioning5.6
Utility5.0
Mechanics3.8
Opening Duels3.1
Win Impact6.1

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time568ms−54ms
first ⅓ avg 622ms → last ⅓ avg 568ms
Headshot accuracy16.3%+1.4%
first ⅓ avg 14.9% → last ⅓ avg 16.3%

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.

Personal bests

0.23Best match rating · 13–4 · dust2, 17 Aug →
36%Best headshot accuracy · 13–7 · ancient, 22 Feb →
398msFastest reaction time · 5–13 · nuke, 17 Aug →
13–2Biggest win · inferno, 20 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
7–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 62% over 13overpassWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB3519–1654%0.00
infernoB2312–1152%0.02
nukeA138–562%0.02
ancientD103–730%-0.00
overpassD82–625%0.01
dust2B63–350%0.03
cache—20–20%-0.05
anubis—21–150%-0.01
poseidon—11–0100%0.07

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,561Lifetime kills
1.04K/D · Top 50% of Blue band
1,581Matches
38.6%Match win rate
40.9%Headshot %
11.9%Shot accuracy · Top 50% of Blue band
4,078MVPs
387Hours (in match)
1,001Bombs planted
237Bombs defused

Most-used weapons

Lifetime map wins

1,588inferno
847nuke
406dust2
301vertigo
252cbble
166office
162lake
26italy

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

Faceit stats

Combat

6Matches
0%Win rate
0.86Avg K/D
78.3ADR
41%Headshot %

Clutches & streaks

0%1v1 clutch win
12%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust230%0.7512.0
Ancient20%1.0616.0
Mirage10%0.7710.0

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.

15.3%Headshot accuracy
36.9%Accuracy (enemy spotted)
34.3%Spray accuracy
67.2%Counter-strafing
11.2°Preaim
570msReaction time
28.2%T opening success
55.1%CT opening success
0.59Enemies flashed / flash
1.3%Flash assists
10.48HE damage / grenade
7.55Flashes / 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. 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 28.1917% — below the 40% mark we flag

Spend your practice time on Overpass

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–60.1121%10 Sept →
nuke13–50.0515%22 Aug →
dust213–70.0119%21 Aug →
dust22–8-0.0218%21 Aug →
dust211–130.0419%21 Aug →
nuke13–90.0212%20 Aug →
cache4–13-0.0511%20 Aug →
inferno13–20.0126%20 Aug →
nuke11–130.037%20 Aug →
dust211–30.0226%20 Aug →
inferno2–13-0.0317%18 Aug →
mirage13–100.0514%18 Aug →
mirage16–13-0.0112%18 Aug →
mirage13–8-0.0315%18 Aug →
mirage10–00.0617%17 Aug →
mirage6–13-0.0214%17 Aug →
dust213–40.2321%17 Aug →
mirage7–130.086%17 Aug →
nuke5–13-0.100%17 Aug →
inferno3–13-0.0315%9 Aug →
inferno4–13-0.0616%22 Jul →
ancient4–13-0.0113%17 Jul →
ancient7–13-0.0217%20 Jun →
inferno13–60.2012%19 Jun →
inferno13–80.1018%15 Jun →
inferno13–20.0133%13 Jun →
inferno4–13-0.0313%7 Jun →
ancient8–130.0011%30 May →
mirage13–6-0.0117%30 May →
inferno6–00.1433%30 May →
inferno13–9-0.0526%23 May →
inferno1–12-0.0017%23 May →
mirage13–2-0.007%19 May →
cache7–13-0.0430%4 May →
mirage4–13-0.046%25 Apr →
ancient0–13-0.0626%20 Apr →
mirage1–130.0119%19 Apr →
inferno3–13-0.0119%19 Apr →
mirage13–110.0124%18 Apr →
mirage12–12-0.0411%16 Apr →
ancient2–13-0.0325%13 Apr →
mirage6–13-0.0622%12 Apr →
anubis13–110.036%12 Apr →
inferno5–90.0013%12 Apr →
inferno9–60.068%12 Apr →
inferno9–7-0.0114%12 Apr →
overpass9–130.0818%12 Apr →
inferno6–130.0221%12 Apr →
nuke13–30.0415%11 Apr →
mirage13–11-0.029%11 Apr →
inferno9–70.0614%9 Apr →
nuke9–50.1013%9 Apr →
mirage10–13-0.0018%6 Apr →
inferno10–13-0.0612%7 Mar →
nuke7–13-0.0626%23 Feb →
mirage13–30.048%23 Feb →
inferno7–13-0.0419%22 Feb →
ancient13–7-0.0136%22 Feb →
inferno8–80.0811%22 Feb →
mirage13–8-0.0110%22 Feb →
ancient13–70.0421%19 Feb →
mirage3–13-0.0716%18 Feb →
ancient13–100.0416%17 Feb →
mirage9–13-0.0323%17 Feb →
mirage4–13-0.055%17 Feb →
mirage11–130.0320%16 Feb →
mirage6–13-0.0925%16 Feb →
mirage9–13-0.0214%16 Feb →
nuke13–60.0515%15 Feb →
inferno13–7-0.0817%15 Feb →
mirage13–9-0.0216%15 Feb →
mirage13–40.0921%15 Feb →
mirage13–5-0.0113%15 Feb →
overpass10–13-0.032%15 Feb →
mirage13–3-0.0025%15 Feb →
mirage13–40.1518%12 Feb →
mirage8–130.0021%12 Feb →
nuke9–130.0826%12 Feb →
overpass6–9-0.059%12 Feb →
mirage13–110.0915%12 Feb →
dust210–13-0.0814%11 Feb →
mirage13–70.0516%11 Feb →
mirage13–90.079%9 Feb →
poseidon9–20.0718%8 Feb →
overpass13–80.0916%8 Feb →
ancient11–130.029%8 Feb →
nuke13–30.1719%8 Feb →
mirage13–70.0014%8 Feb →
inferno13–9-0.0214%8 Feb →
mirage6–13-0.068%8 Feb →
anubis4–13-0.0414%8 Feb →
mirage8–13-0.025%7 Feb →
overpass8–13-0.0123%7 Feb →
ancient14–16-0.0210%7 Feb →
nuke13–11-0.0415%7 Feb →
overpass13–8-0.0017%7 Feb →
overpass14–160.0017%7 Feb →
nuke2–13-0.049%7 Feb →
overpass9–13-0.0312%7 Feb →
nuke13–70.0123%7 Feb →

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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