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TimTam — CS2 Stats

76561198307277801[U:1:347012073]✓ No bans

547Tracked matches45%Win rate2020Tracked since
1,076Hours in CS1Hrs last 2 wks
CSDB Rating4.5 Developing
Ladder ranks via Leetify

Performance scores

Aim41
Positioning58
Utility30

0–100 skill scores via Leetify.

Recent form

COLD38–58–4Last 10038%Win rateLWLWLLWLLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim4.1
Aggression9.5
Utility3.0
Positioning5.8
Opening Duels4.1

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

device

Plays most like device 80% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 680ms 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

Aim4.1
Positioning5.8
Utility3.0
Mechanics5.8
Opening Duels4.1
Win Impact3.3

Composite 4.5/10 (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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time668ms+12ms
first ⅓ avg 656ms → last ⅓ avg 668ms
Headshot accuracy14.4%+1.0%
first ⅓ avg 13.4% → last ⅓ avg 14.4%

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.

Highlights

0.11Best rating — vertigo 13–5
13–3Biggest win — nuke
4Longest win streak
9–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 50% over 10infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C3514–2140%-0.01
mirageD237–1630%-0.02
ancientB105–550%0.00
nukeC83–538%0.01
infernoD61–517%-0.04
anubisD62–433%0.01
overpassB63–350%0.01
vertigo—41–325%0.01
cache—11–0100%0.05
train—11–0100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,551Lifetime kills
0.93K/D
1,546Matches
42.4%Match win rate
34.8%Headshot %
17.2%Shot accuracy · Top 25% of tracked players
2,772MVPs
587Hours (in match)
1,462Bombs planted
286Bombs defused

Most-used weapons

M4A4 / M4A1-S4,559
AWP4,137
AK-473,493
Desert Eagle1,551
SSG 081,539
P2000 / USP-S1,466
MP71,120
Galil AR986
Glock-18812
AUG763

Lifetime map wins

4,817dust2
1,598inferno
567vertigo
303nuke
169train
103cbble
37lake
17office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.7%Headshot accuracy
31.6%Accuracy (enemy spotted)
28.5%Spray accuracy
76.0%Counter-strafing
10.1°Preaim
680msReaction time
48.2%T opening success
44.4%CT opening success
0.60Enemies flashed / flash
3.7%Flash assists
10.10HE damage / grenade
3.05Flashes / 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 14.6676% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0537 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0410%27 Aug →
ancient16–140.0623%29 Jul →
inferno6–13-0.035%28 Jul →
ancient13–9-0.0117%28 Jul →
dust29–13-0.0523%23 Jul →
dust28–13-0.0114%23 Jul →
dust213–9-0.0414%14 Jul →
mirage4–130.047%13 Jul →
dust23–13-0.077%13 Jul →
dust22–13-0.108%13 Jul →
cache13–90.0516%12 Jul →
dust213–110.0322%12 Jul →
anubis7–13-0.0112%10 Jun →
mirage13–50.0520%10 Jun →
dust29–13-0.0316%8 Jun →
inferno13–10-0.0118%8 May →
mirage3–13-0.0732%4 May →
ancient15–15-0.028%1 May →
anubis13–100.0413%24 Apr →
dust213–9-0.089%6 Apr →
ancient13–7-0.006%6 Apr →
dust25–13-0.049%6 Apr →
mirage14–160.0014%3 Apr →
mirage13–90.0216%3 Apr →
dust213–40.0511%3 Apr →
nuke8–13-0.0514%3 Apr →
inferno8–13-0.0517%18 Mar →
dust28–13-0.0313%17 Mar →
nuke13–30.0118%17 Mar →
ancient11–13-0.0125%17 Mar →
ancient6–130.0614%31 Jan →
overpass2–13-0.0620%24 Jan →
dust23–13-0.058%24 Jan →
anubis10–130.0815%24 Jan →
mirage3–13-0.049%24 Jan →
overpass9–130.0310%18 Jan →
overpass16–12-0.028%18 Jan →
dust213–80.0313%17 Jan →
nuke15–15-0.0215%16 Jan →
dust213–80.0019%12 Jan →
dust23–13-0.0326%12 Jan →
nuke13–40.0324%12 Jan →
mirage13–110.0211%12 Jan →
overpass13–110.1015%12 Jan →
nuke13–110.0719%11 Jan →
dust28–13-0.0114%11 Jan →
dust210–130.0215%7 Jan →
dust213–30.0735%7 Jan →
nuke5–130.0816%7 Jan →
ancient2–13-0.0317%17 Dec →
mirage3–13-0.0912%11 Dec →
vertigo13–50.1123%11 Dec →
ancient11–13-0.0220%20 Sept →
mirage4–13-0.0721%17 Feb →
dust28–13-0.0141%17 Feb →
mirage5–130.0114%16 Feb →
dust213–70.1022%15 Feb →
dust26–13-0.035%12 Oct →
dust23–13-0.0626%12 Oct →
vertigo2–13-0.037%12 Oct →
dust213–7-0.0126%9 Oct →
dust213–60.015%9 Oct →
dust20–13-0.070%18 Sept →
mirage1–13-0.0416%18 Sept →
dust28–13-0.0610%18 Sept →
mirage2–130.049%18 Sept →
dust24–13-0.0316%18 Sept →
dust213–7-0.0331%30 Aug →
dust213–11-0.0213%30 Aug →
dust213–9-0.018%29 Aug →
inferno5–13-0.0518%18 Jun →
dust26–130.0617%18 Jun →
mirage12–16-0.048%23 Mar →
anubis12–12-0.066%15 Mar →
ancient13–80.0417%15 Mar →
anubis11–130.0514%5 Mar →
overpass1–13-0.0619%5 Mar →
nuke0–13-0.045%1 Mar →
mirage3–13-0.117%29 Feb →
dust213–50.056%22 Feb →
mirage11–130.0111%22 Feb →
anubis13–11-0.0222%21 Feb →
mirage6–13-0.108%21 Feb →
mirage10–13-0.0931%21 Feb →
ancient13–11-0.034%20 Feb →
dust211–130.1118%17 Feb →
inferno5–13-0.1012%16 Feb →
dust27–13-0.0319%16 Feb →
mirage13–6-0.0230%16 Feb →
mirage13–7-0.046%15 Feb →
nuke10–13-0.0311%13 Feb →
mirage13–7-0.0113%12 Feb →
overpass13–60.0715%11 Feb →
mirage15–150.0119%11 Feb →
vertigo11–130.0222%8 Feb →
inferno11–13-0.005%17 Sept →
vertigo8–13-0.0510%12 Sept →
mirage13–10-0.049%12 Sept →
train9–70.038%31 Aug →
mirage2–90.020%31 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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