Tin — CS2 Stats

76561198970408972[U:1:1010143244]✓ No bans

1,339Tracked matches54%Win rate2021Tracked since
773Hours in CS
CSDB Rating5.8 SolidAggressive Rifler
FaceitLevel 5 · 1,090 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate61.4%44.2%44.9%above
Shot accuracy3.3%11.2%11.8%8.5% short
Kill/death ratio0.971.041.040.07 short
Match win rate39.3%45.3%45.3%6.0% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGTinFACEITLevel 5 · 1,090 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning59
Utility49

0–100 skill scores via Leetify.

Recent form

COLD464311Last 10046%Win rateLLWLLWTWLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.3
Aggression6.5
Utility4.9
Positioning5.9
Opening Duels2.5
Clutch3.8

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 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

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

Reaction time. 672ms 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

Aim8.3
Positioning5.9
Utility4.9
Mechanics8.0
Opening Duels2.5
Win Impact6.3

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time667ms−0ms
first ⅓ avg 667ms → last ⅓ avg 667ms
Headshot accuracy30.4%+3.2%
first ⅓ avg 27.2% → last ⅓ avg 30.4%

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

0.22Best rating — cache 13–10
131Biggest win — anubis
5Longest win streak
L2Current streak
47In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 60% over 5infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB27131448%0.03
vertigoB168850%0.01
dust2C125742%0.03
anubisB105550%0.02
nukeB84450%0.01
mirageA74357%0.02
infernoD51420%-0.03
ancientA53260%0.07
train41325%0.03
shelter2020%0.03
fachwerk1010%0.03
boulder110100%0.12
overpass110100%0.04
italy1010%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,227Lifetime kills
0.97K/D
2,342Matches
39.3%Match win rate
61.4%Headshot % · Top 5% of Level 5 players
3.3%Shot accuracy
4,084MVPs
773Hours (in match)
1,789Bombs planted
329Bombs defused

Most-used weapons

AK-4720,207
AWP1,749
MP9599
Knife239

Lifetime map wins

3,418dust2
1,680nuke
1,521inferno
1,294train
1,166vertigo
70office
20italy
16lake

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

Faceit stats

Combat

262Matches
49%Win rate
1.01Avg K/D
73.7ADR
57%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage9747%1.0315.1
Dust25638%0.8713.0
Inferno3155%0.9313.6
Anubis2952%1.1415.1
Nuke2152%1.0215.4
Ancient2065%1.1216.6
Train757%0.9714.7
Overpass1100%2.0827.0

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.

29.8%Headshot accuracy
35.9%Accuracy (enemy spotted)
36.3%Spray accuracy
86.1%Counter-strafing
8.8°Preaim
672msReaction time
40.8%T opening success
39.6%CT opening success
0.49Enemies flashed / flash
3.0%Flash assists
7.40HE damage / grenade
11.74Flashes / 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. 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 0.4938 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.6001% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
fachwerk11–130.0329%16 Jul
shelter5–13-0.0452%16 Jul
boulder13–80.1232%14 Jul
mirage4–130.0630%14 Jul
shelter9–130.1027%9 Jul
cache13–10-0.0043%30 Jun
nuke12–12-0.0026%26 Jun
nuke13–10-0.0227%26 Jun
vertigo5–13-0.0432%25 Jun
cache3–13-0.0348%2 Jun
cache10–4-0.0015%2 Jun
cache11–13-0.0120%22 May
nuke16–130.0219%18 May
cache9–13-0.0127%16 May
cache12–12-0.0122%14 May
cache12–12-0.0320%12 May
cache13–30.0534%9 May
mirage6–13-0.0232%8 May
cache13–30.0729%8 May
cache13–100.2229%7 May
anubis13–10.0322%7 May
dust29–13-0.0643%6 May
cache9–13-0.0120%6 May
cache12–12-0.0124%6 May
cache13–70.1139%6 May
cache13–110.0435%5 May
cache13–40.1228%3 May
cache13–70.0640%3 May
vertigo13–100.0130%2 May
cache9–130.0130%2 May
cache12–120.0121%2 May
cache9–13-0.0035%2 May
cache8–130.0142%30 Apr
cache13–60.0935%30 Apr
cache12–120.0222%29 Apr
cache5–130.0528%29 Apr
cache8–130.0148%29 Apr
cache13–70.0343%29 Apr
cache13–100.1045%28 Apr
cache13–8-0.0115%28 Apr
dust213–60.0535%28 Apr
dust213–100.0333%26 Apr
vertigo12–120.0528%26 Apr
train13–90.0220%25 Apr
vertigo13–60.0743%25 Apr
anubis3–13-0.0731%25 Apr
vertigo11–13-0.0529%25 Apr
train6–130.0327%24 Apr
vertigo13–40.0323%24 Apr
anubis12–120.0430%24 Apr
vertigo7–130.0529%24 Apr
dust25–13-0.0413%22 Apr
anubis11–130.0437%21 Apr
vertigo12–12-0.0028%21 Apr
vertigo13–6-0.0419%18 Apr
vertigo13–10.0828%18 Apr
inferno4–13-0.0419%17 Apr
mirage4–13-0.0114%17 Apr
mirage13–110.0520%12 Apr
anubis16–130.0128%12 Apr
nuke7–13-0.0323%11 Apr
mirage13–40.0827%11 Apr
dust213–80.1527%11 Apr
anubis10–130.0423%9 Apr
train12–120.0237%8 Apr
vertigo13–10-0.0223%8 Apr
nuke13–110.0330%7 Apr
dust27–13-0.0116%7 Apr
dust26–13-0.0134%6 Apr
vertigo7–40.0430%6 Apr
anubis13–70.1017%6 Apr
vertigo2–13-0.0918%6 Apr
mirage13–7-0.0117%6 Apr
nuke9–130.0438%5 Apr
dust213–50.0736%5 Apr
ancient10–13-0.0823%4 Apr
ancient13–20.1436%4 Apr
anubis9–13-0.0724%4 Apr
vertigo12–120.0623%4 Apr
inferno8–13-0.0528%4 Apr
ancient13–30.1441%4 Apr
dust213–30.0824%1 Apr
inferno13–11-0.0119%31 Mar
dust27–130.0333%31 Mar
inferno11–13-0.0833%31 Mar
nuke16–120.0120%30 Mar
mirage13–10-0.0410%29 Mar
overpass13–80.0424%29 Mar
dust210–130.0123%28 Mar
vertigo7–30.0929%28 Mar
italy9–130.0326%28 Mar
train8–130.0545%28 Mar
anubis13–60.0229%28 Mar
dust213–160.0333%26 Mar
inferno11–130.0332%25 Mar
ancient11–130.0436%25 Mar
nuke10–130.0224%25 Mar
vertigo3–9-0.0622%25 Mar
ancient13–30.1233%24 Mar
anubis13–50.0822%24 Mar

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 →