Tawn

Tawn — CS2 Stats

76561198757314631[U:1:797048903]Steam profile ↗✓ No bans

457Tracked matches61%Win rate2026Tracked since
CSDB Rating7.3 StrongPositional Player
Premier CS Rating17,242Purple band · top ~19.5% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (2 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: 17,242 +5,975 31 Aug – 28 Oct · 37 days played
10,16017,242peak 17,24231 Aug28 Oct
17,242Peak Premier in tracked matches
37Days played since 2026-08-31

Premier CS Rating

  • At peak — 17,242
  • +6,916 over 30 days · improving
  • Next: Pink band at 20,000 — 2,758 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-06
  • Light Blue band first seen 2026-09-06

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

Share this profile

CSDB.GGTawnFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,242 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning70
Utility48

0–100 skill scores via Leetify.

Recent form

HOT46–49–5Last 10046%Win rateWWWWLLWLWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +0.7pp headshot accuracy · +39ms reaction

Win rate up 20pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 633ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 600ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 581ms

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 (+2.1 against its own average).

Aim8.2
Utility4.8
Positioning7.0
Opening Duels3.7
Clutch4.0

Excellent counter-strafing

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 93% playstyle similarity

Most alike: positioning profile, 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

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 577ms 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

Aim8.2
Positioning7.0
Utility4.8
Mechanics8.6
Opening Duels6.1
Win Impact8.6

Composite 7.3/10 (Strong), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time566ms+10ms
first ⅓ avg 557ms → last ⅓ avg 566ms
Headshot accuracy13.5%+1.2%
first ⅓ avg 12.3% → last ⅓ avg 13.5%

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

0.12Best match rating · 14–16 · mirage, 6 Oct →
26%Best headshot accuracy · 0–11 · inferno, 4 Oct →
383msFastest reaction time · 4–13 · inferno, 8 Sept →
13–2Biggest win · dust2, 1 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
5–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 55% over 11mirageWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B3519–1654%-0.00
infernoC167–944%-0.00
mirageD123–925%0.00
anubisA116–555%0.01
nukeC104–640%0.01
ancientC83–538%-0.00
cacheB84–450%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

32Matches
47%Win rate
0.88Avg K/D
75.6ADR
41%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust21560%0.9417.2
Ancient650%0.7212.3
Anubis425%0.6612.5
Mirage450%1.1016.3
Nuke30%0.8914.3

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.

13.6%Headshot accuracy
40.2%Accuracy (enemy spotted)
39.9%Spray accuracy
88.5%Counter-strafing
9.1°Preaim
577msReaction time
61.3%T opening success
47.8%CT opening success
0.57Enemies flashed / flash
8.2%Flash assists
7.25HE damage / grenade
9.44Flashes / 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 13.5697% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0412%28 Oct →
ancient13–70.0418%27 Oct →
mirage13–90.0419%27 Oct →
inferno13–11-0.0710%27 Oct →
nuke6–13-0.0613%25 Oct →
dust28–130.0417%25 Oct →
inferno13–10-0.0018%25 Oct →
inferno0–13-0.120%25 Oct →
cache13–100.0114%25 Oct →
ancient13–80.0214%25 Oct →
nuke10–130.0211%25 Oct →
mirage2–13-0.0719%25 Oct →
anubis6–130.099%24 Oct →
dust212–120.0021%23 Oct →
anubis13–70.0513%21 Oct →
dust213–9-0.0216%20 Oct →
cache13–8-0.028%20 Oct →
dust213–30.0518%20 Oct →
dust213–8-0.049%20 Oct →
nuke15–15-0.016%19 Oct →
inferno13–8-0.0214%19 Oct →
cache11–130.0413%19 Oct →
cache10–10.1213%19 Oct →
dust216–14-0.0115%18 Oct →
inferno2–70.0617%18 Oct →
dust213–70.0513%18 Oct →
inferno11–130.038%18 Oct →
dust213–100.0114%18 Oct →
mirage9–130.0016%18 Oct →
anubis10–13-0.0016%16 Oct →
mirage6–13-0.0315%16 Oct →
ancient16–140.009%16 Oct →
inferno13–60.1118%16 Oct →
anubis13–9-0.0216%15 Oct →
inferno13–80.059%14 Oct →
dust213–8-0.0113%14 Oct →
dust213–7-0.0510%11 Oct →
anubis10–13-0.0011%11 Oct →
dust28–130.0314%10 Oct →
mirage13–5-0.0023%9 Oct →
anubis7–13-0.0415%7 Oct →
nuke13–40.1116%7 Oct →
dust213–100.0416%6 Oct →
mirage14–160.1215%6 Oct →
dust213–40.0811%6 Oct →
ancient8–13-0.0015%6 Oct →
inferno11–130.0310%6 Oct →
anubis13–70.0417%5 Oct →
cache10–13-0.0323%5 Oct →
dust213–11-0.043%5 Oct →
dust213–90.049%5 Oct →
inferno0–11-0.0526%4 Oct →
dust213–10-0.0110%4 Oct →
dust213–60.0111%4 Oct →
dust28–13-0.075%3 Oct →
dust211–13-0.064%3 Oct →
anubis13–6-0.0310%3 Oct →
inferno13–30.0416%3 Oct →
ancient10–13-0.043%1 Oct →
dust213–20.029%1 Oct →
inferno7–130.027%1 Oct →
nuke16–140.019%30 Sept →
cache13–80.0721%30 Sept →
mirage10–13-0.0513%29 Sept →
dust210–13-0.046%26 Sept →
dust25–130.0018%26 Sept →
dust213–30.0619%25 Sept →
mirage7–13-0.0212%25 Sept →
dust212–12-0.0310%25 Sept →
nuke13–8-0.0016%25 Sept →
mirage15–15-0.0114%22 Sept →
ancient7–130.0215%22 Sept →
nuke7–130.0810%21 Sept →
dust28–130.0214%20 Sept →
inferno6–130.049%20 Sept →
cache4–13-0.0313%20 Sept →
mirage10–13-0.0312%20 Sept →
dust213–9-0.0510%20 Sept →
mirage13–30.055%20 Sept →
cache9–130.0111%20 Sept →
nuke11–130.047%20 Sept →
nuke13–10-0.0124%20 Sept →
dust214–16-0.037%20 Sept →
nuke15–15-0.0611%19 Sept →
ancient1–13-0.030%16 Sept →
dust27–130.013%12 Sept →
dust26–130.0112%12 Sept →
dust216–13-0.0312%12 Sept →
anubis13–8-0.0222%12 Sept →
dust210–13-0.049%9 Sept →
dust29–130.0117%9 Sept →
mirage3–130.0413%8 Sept →
inferno4–130.0110%8 Sept →
dust29–13-0.0415%8 Sept →
anubis13–30.0718%7 Sept →
anubis10–13-0.0314%6 Sept →
dust213–50.0416%6 Sept →
ancient7–13-0.0221%6 Sept →
dust214–16-0.019%2 Sept →
inferno1–13-0.1015%31 Aug →

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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