Tagz

Tagz — CS2 Stats

US76561198167506218[U:1:207240490]Steam profile ↗✓ No bans

1,975Tracked matches57%Win rate2020Tracked since
19,010Hours in CS6Hrs last 2 wks
CSDB Rating5.6 SolidClutch Specialist
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

+8Tracked matches · now 1,975
−2.1ppWin rate · 59.3% → 57.1%

Rating over time

Premier CS Rating: 20,550 +564 9 Nov – 28 Nov · 2 days played
19,98620,550peak 20,5509 Nov28 Nov
20,550Peak Premier in tracked matches
51Days played since 2025-07-20

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches12——
Win rate33%——
K/D0.72——
Headshot %52%——

Measured 20 Sep 2026 → 18 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), 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 10 median
Headshot rate54.0%50.9%
Shot accuracy19.5%13.7%
Kill/death ratio0.851.09
Match win rate42.9%48.4%

Share this profile

CSDB.GGTagzFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim72
Positioning48
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateLLTWLLWWWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −4.1pp headshot accuracy · +12ms reaction

Win rate 0pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 673ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 622ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 616ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.4 against its own average).

Aim7.2
Utility4.1
Positioning4.8
Opening Duels2.3
Clutch5.6

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

iM

Plays most like iM 99% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower 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

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. 612ms 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

Aim7.2
Positioning4.8
Utility4.1
Mechanics6.1
Opening Duels1.7
Win Impact7.4

Composite 5.6/10 (Solid), 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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time615ms−34ms
first ⅓ avg 649ms → last ⅓ avg 615ms
Headshot accuracy20.5%−2.1%
first ⅓ avg 22.5% → last ⅓ avg 20.5%

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

0.14Best match rating · 13–6 · ancient, 23 Jul →
46%Best headshot accuracy · 2–13 · mirage, 7 Aug →
430msFastest reaction time · 13–11 · mirage, 7 Sept →
13–0Biggest win · mirage, 6 Jan →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
9–4In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 86% over 7trainWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2213–959%-0.00
dust2B209–1145%0.01
infernoA169–756%-0.02
trainC114–736%-0.03
nukeC73–443%0.02
ancientC73–443%0.00
overpassS76–186%-0.01
cache—42–250%-0.02
anubis—32–167%-0.03
vertigo—11–0100%-0.07
palacio—10–10%-0.00
grail—11–0100%-0.01

Across the last 100 tracked matches.

Lifetime stats

575,083Lifetime kills
0.85K/D
15,019Matches
42.9%Match win rate
54.0%Headshot % · Top 50% of Level 10 players
19.5%Shot accuracy · Top 10% of Level 10 players
52,340MVPs
19,512Hours (in match)
21,458Bombs planted
4,944Bombs defused

Most-used weapons

AK-47242,686
AWP76,177
Glock-1817,793
SG 55310,688
P2509,307
Knife8,443
FAMAS7,493

Lifetime map wins

45,960inferno
26,752train
20,157dust2
10,885cbble
6,939nuke
3,055vertigo
55office
25italy

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

Faceit stats

Combat

2,463Matches
51%Win rate
1.27Avg K/D
84.4ADR
46%Headshot %

Clutches & streaks

48%1v1 clutch win
16%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage8052%1.1616.7
Inferno3949%1.1217.9
Ancient2759%1.2919.0
Overpass2665%1.2519.0
Nuke1464%1.0117.1
Vertigo1331%1.1617.3
Anubis956%1.0517.7
Dust2683%0.9717.2

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.

19.6%Headshot accuracy
34.7%Accuracy (enemy spotted)
36.7%Spray accuracy
77.6%Counter-strafing
8.3°Preaim
612msReaction time
33.4%T opening success
40.6%CT opening success
0.56Enemies flashed / flash
9.0%Flash assists
6.79HE damage / grenade
8.23Flashes / 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 33.3788% — below the 40% mark we flag

Spend your practice time on Train

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0821%11 Oct →
dust29–13-0.0610%11 Oct →
cache12–12-0.0721%10 Oct →
nuke13–20.0519%4 Oct →
dust28–13-0.037%4 Oct →
inferno2–13-0.1642%4 Oct →
dust213–7-0.0133%3 Oct →
inferno13–2-0.0315%3 Oct →
dust213–80.0422%7 Sept →
cache13–11-0.016%7 Sept →
mirage13–110.0224%7 Sept →
dust28–130.0718%7 Sept →
inferno6–13-0.0523%7 Sept →
train5–13-0.0821%30 Aug →
train9–13-0.0524%23 Aug →
mirage13–8-0.0711%23 Aug →
dust213–40.0733%20 Aug →
inferno13–80.0022%16 Aug →
dust213–110.0116%16 Aug →
mirage2–13-0.0746%7 Aug →
mirage13–10-0.0215%30 Jul →
mirage6–13-0.0425%28 Jul →
inferno6–13-0.0911%28 Jul →
anubis13–7-0.0414%28 Jul →
ancient13–10-0.067%28 Jul →
mirage12–12-0.058%28 Jul →
cache5–8-0.0014%25 Jul →
dust213–50.0728%25 Jul →
mirage13–80.0723%13 Jul →
mirage13–90.0629%25 May →
inferno13–110.0416%25 May →
train5–13-0.0727%25 May →
cache13–11-0.0125%2 May →
nuke12–120.0622%19 Feb →
vertigo13–4-0.0717%18 Feb →
mirage7–130.0322%14 Feb →
ancient6–13-0.017%14 Feb →
dust212–120.0424%7 Feb →
dust22–13-0.0519%7 Feb →
train13–30.0030%7 Feb →
mirage13–100.0040%26 Jan →
overpass13–6-0.037%26 Jan →
mirage13–10-0.0521%24 Jan →
anubis13–10-0.0320%24 Jan →
nuke13–70.0024%24 Jan →
train4–13-0.0617%9 Jan →
inferno1–13-0.0321%9 Jan →
mirage13–00.0418%6 Jan →
dust213–30.0928%6 Jan →
train13–9-0.0139%6 Jan →
mirage13–2-0.059%4 Jan →
inferno13–9-0.0225%4 Jan →
nuke9–130.0323%4 Jan →
ancient6–13-0.0113%27 Dec →
ancient6–13-0.059%25 Dec →
overpass5–30.0517%21 Dec →
inferno13–5-0.0524%21 Dec →
mirage3–13-0.0323%20 Dec →
inferno10–13-0.0220%17 Dec →
inferno9–5-0.0230%14 Dec →
anubis9–13-0.0327%13 Dec →
ancient13–90.0135%13 Dec →
mirage13–70.0822%28 Nov →
dust213–20.0821%27 Nov →
inferno6–13-0.0521%27 Nov →
inferno13–60.0341%9 Nov →
train13–5-0.0818%9 Nov →
dust210–13-0.0618%9 Nov →
palacio11–13-0.0027%26 Oct →
mirage5–13-0.0642%5 Oct →
dust212–12-0.0030%5 Oct →
train6–13-0.0220%20 Sept →
mirage4–13-0.0817%30 Aug →
grail13–11-0.0134%30 Aug →
nuke13–60.0320%24 Aug →
dust27–13-0.0716%23 Aug →
overpass13–4-0.0233%20 Aug →
inferno9–130.0839%16 Aug →
ancient10–13-0.0024%4 Aug →
dust26–13-0.0113%3 Aug →
train5–130.0030%3 Aug →
nuke11–13-0.0420%2 Aug →
dust213–100.0524%27 Jul →
mirage13–90.0215%27 Jul →
mirage13–5-0.004%27 Jul →
overpass11–13-0.0317%26 Jul →
inferno13–110.0123%26 Jul →
train8–130.0438%26 Jul →
mirage9–130.0012%26 Jul →
overpass13–8-0.048%26 Jul →
ancient13–60.1427%23 Jul →
train9–20.0315%23 Jul →
dust213–8-0.0019%23 Jul →
overpass13–5-0.045%22 Jul →
mirage13–90.0929%20 Jul →
dust211–130.0125%20 Jul →
mirage3–130.0119%20 Jul →
overpass13–110.0421%20 Jul →
nuke10–13-0.0228%20 Jul →
inferno13–90.0930%20 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.