tamsin

tamsin — CS2 Stats

CH76561198990547488[U:1:1030281760]Steam profile ↗✓ No bans

2,838Tracked matches47%Win rate2024Tracked since
1,617Hours in CS
CSDB Rating4.3 Developing
Premier CS Rating16,808Purple band · top ~21.2% of ranked players (population est.)
CSDB Leaderboard#14181 of 24814 tracked
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate34.0%44.1%47.2%13.3% short
Shot accuracy0.0%11.4%12.7%12.7% short
Kill/death ratio0.761.031.090.33 short
Match win rate43.6%45.2%46.6%3.0% short

This profile sits below the typical Pink band player on every metric we can compare.

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

Share this profile

CSDB.GGtamsinPREMIER16,808 · Purple bandcsdb.gg/stats

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Performance scores

Aim42
Positioning43
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY50446Last 10050%Win rateLLWWLWLWWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim4.2
Aggression6.2
Utility6.2
Positioning4.3
Opening Duels2.0
Clutch3.2

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

Twistzz

Plays most like Twistzz 84% playstyle similarity

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

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. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.2
Positioning4.3
Utility6.2
Mechanics4.1
Opening Duels2.0
Win Impact3.9

Composite 4.3/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time559ms−18ms
first ⅓ avg 578ms → last ⅓ avg 559ms
Headshot accuracy10.7%−1.3%
first ⅓ avg 12.1% → last ⅓ avg 10.7%

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.

Highlights

0.09Best rating — nuke 13–2
132Biggest win — ancient
6Longest win streak
L2Current streak
512In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 64% over 11mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
ancientB24121250%-0.03
cacheB157847%-0.03
dust2A159660%-0.04
infernoC146843%-0.03
anubisB147750%-0.03
nukeA117464%-0.03
mirageD72529%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,098Lifetime kills
0.76K/D
4,553Matches
43.6%Match win rate
34.0%Headshot %
0.0%Shot accuracy
5,921MVPs
1,617Hours (in match)
5,714Bombs planted
695Bombs defused

Most-used weapons

AK-4715,858
MAC-102,830
MP92,790
MP72,345
FAMAS2,210
XM10141,644

Lifetime map wins

9,449dust2
7,463inferno
4,305nuke
1,841train
638vertigo
139office
104italy
22ar_baggage

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

Faceit stats

Combat

61Matches
43%Win rate
0.69Avg K/D
65.7ADR
31%Headshot %

Clutches & streaks

36%1v1 clutch win
11%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1953%0.6810.1
Dust21631%0.6311.1
Ancient1155%0.7413.8
Inferno838%0.8113.0
Anubis367%0.9014.0
Nuke20%0.498.0
Train10%0.295.0
Cache10%0.183.0

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.

10.4%Headshot accuracy
32.1%Accuracy (enemy spotted)
34.5%Spray accuracy
68.5%Counter-strafing
11.1°Preaim
565msReaction time
30.7%T opening success
45.6%CT opening success
0.59Enemies flashed / flash
6.7%Flash assists
10.67HE damage / grenade
11.01Flashes / 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 10.3944% — below the 15% mark we flag

    Aim Training
  2. 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 30.7281% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0511%29 Aug
inferno10–13-0.056%29 Aug
inferno13–5-0.050%28 Aug
inferno13–10-0.0118%28 Aug
ancient6–13-0.058%28 Aug
nuke13–9-0.0513%28 Aug
cache14–160.019%28 Aug
ancient13–60.0610%28 Aug
dust213–6-0.0212%28 Aug
ancient13–80.0311%28 Aug
anubis13–7-0.064%28 Aug
inferno9–30.0315%28 Aug
mirage7–13-0.0414%28 Aug
mirage7–13-0.0910%28 Aug
anubis13–6-0.0311%28 Aug
dust213–5-0.0311%28 Aug
ancient9–13-0.069%27 Aug
dust213–11-0.0416%27 Aug
dust213–3-0.017%27 Aug
ancient12–16-0.047%27 Aug
ancient13–8-0.0310%27 Aug
ancient7–13-0.0922%26 Aug
nuke14–16-0.078%26 Aug
inferno9–13-0.0722%26 Aug
anubis9–13-0.060%25 Aug
nuke6–13-0.0711%25 Aug
inferno9–70.0018%25 Aug
nuke13–9-0.006%24 Aug
cache11–130.0213%24 Aug
inferno11–13-0.0313%24 Aug
cache13–40.059%24 Aug
cache7–13-0.0511%24 Aug
anubis11–13-0.0611%23 Aug
dust216–130.0014%23 Aug
ancient13–11-0.049%23 Aug
anubis13–9-0.0211%23 Aug
cache13–11-0.0615%23 Aug
nuke13–60.029%23 Aug
ancient15–15-0.0314%23 Aug
ancient13–11-0.045%23 Aug
ancient13–10-0.045%23 Aug
ancient13–2-0.0011%23 Aug
cache13–10-0.0513%23 Aug
cache6–13-0.068%22 Aug
nuke13–8-0.026%22 Aug
cache13–80.0010%22 Aug
cache15–15-0.079%22 Aug
dust20–13-0.100%22 Aug
cache10–2-0.070%22 Aug
ancient8–130.0112%22 Aug
nuke13–10-0.019%22 Aug
dust29–13-0.0518%22 Aug
ancient5–13-0.0312%22 Aug
ancient13–8-0.0312%22 Aug
anubis3–13-0.056%22 Aug
ancient13–10-0.0410%22 Aug
dust214–16-0.0319%22 Aug
nuke9–13-0.096%22 Aug
cache6–13-0.053%22 Aug
mirage5–13-0.1019%22 Aug
dust210–13-0.026%22 Aug
ancient13–7-0.015%22 Aug
cache14–16-0.057%21 Aug
dust213–6-0.0719%21 Aug
mirage5–13-0.0114%21 Aug
cache13–100.0118%21 Aug
anubis11–13-0.0613%21 Aug
dust213–9-0.0413%20 Aug
mirage13–70.0511%20 Aug
dust25–13-0.0439%20 Aug
inferno8–8-0.105%20 Aug
cache11–13-0.0614%19 Aug
anubis16–13-0.038%19 Aug
ancient2–13-0.108%19 Aug
ancient11–13-0.033%19 Aug
inferno12–12-0.049%19 Aug
nuke13–6-0.043%19 Aug
mirage13–7-0.0519%19 Aug
dust211–13-0.0515%18 Aug
inferno10–13-0.0626%18 Aug
inferno15–15-0.019%18 Aug
nuke5–13-0.0613%18 Aug
ancient5–13-0.066%17 Aug
cache16–12-0.0412%17 Aug
anubis13–60.0415%17 Aug
anubis13–70.0314%17 Aug
ancient10–13-0.006%17 Aug
nuke13–20.0911%16 Aug
anubis8–13-0.0515%16 Aug
mirage15–15-0.065%16 Aug
inferno9–10.0226%16 Aug
anubis13–16-0.0110%16 Aug
anubis6–13-0.0412%16 Aug
dust213–9-0.058%16 Aug
ancient13–50.015%16 Aug
anubis13–7-0.099%16 Aug
ancient13–7-0.0310%16 Aug
inferno9–30.0626%16 Aug
dust213–6-0.019%16 Aug
ancient14–16-0.046%16 Aug

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 →