nice boy tyler

nice boy tyler — CS2 Stats

US76561198855228578[U:1:894962850]Steam profile ↗✓ No bans

2,577Tracked matches57%Win rate2020Tracked since
2,409Hours in CS9Hrs last 2 wks
CSDB Rating6.3 SolidSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 2,577
−6.7ppWin rate · 63.3% → 56.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 28 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

34Days played since 2026-06-28

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches64+2
Win rate17%0%+17pp
K/D0.670.50+0.17
Headshot %67%79%−12pp

Measured 11 Sep 202617 Sep 2026; previous 4 Sep 2026 → 11 Sep 2026.

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 8 among CSDB-tracked players (n=12,738), 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 8 medianLevel 9 medianvs Level 9
Headshot rate52.2%46.8%48.3%above
Shot accuracy10.5%13.0%13.2%2.7% short
Kill/death ratio1.051.061.07meets
Match win rate50.9%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGnice boy tylerFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning50
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY55441Last 10055%Win rateLWLLWWWLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +5.5pp headshot accuracy · +20ms reaction

Win rate +10pp 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 591ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 582ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 572ms

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: SupportUtility contribution stands above the rest of this profile (+1.8 against its own average).

Aim7.5
Utility6.2
Positioning5.0
Opening Duels2.2
Clutch4.2

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, 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. 575ms 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

Aim7.5
Positioning5.0
Utility6.2
Mechanics7.8
Opening Duels2.2
Win Impact7.2

Composite 6.3/10 (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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time578ms−31ms
first ⅓ avg 609ms → last ⅓ avg 578ms
Headshot accuracy26.0%−2.0%
first ⅓ avg 28.0% → last ⅓ avg 26.0%

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

0.18Best match rating · 9–3 · inferno, 3 Sept
50%Best headshot accuracy · 0–2 · ancient, 3 Aug
391msFastest reaction time · 9–13 · ancient, 19 Aug
13–2Biggest win · cache, 23 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
610In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 67% over 9infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2113862%0.02
cacheA1912763%0.00
anubisA1610663%0.01
mirageB115645%-0.03
infernoD103730%0.02
nukeS96367%0.03
ancient41325%-0.02
office31233%-0.03
overpass3030%0.00
vertigo220100%0.05
train110100%0.06
eldorado110100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,680Lifetime kills
1.05K/D
4,801Matches
50.9%Match win rate · Top 25% of Level 8 players
52.2%Headshot % · Top 50% of Level 8 players
10.5%Shot accuracy
15,819MVPs
1,593Hours (in match)
4,034Bombs planted
1,813Bombs defused

Most-used weapons

AK-4726,607
AWP8,187
MP92,669
MAC-101,935
Knife1,161

Lifetime map wins

6,912dust2
6,301vertigo
5,800inferno
4,536nuke
1,474train
922office
799cbble
464lake

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

Faceit stats

Combat

200Matches
58%Win rate
1.19Avg K/D
82.1ADR
56%Headshot %

Clutches & streaks

41%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2861%1.0817.7
Dust22669%1.3618.0
Anubis2250%1.0415.0
Ancient1844%1.0214.7
Nuke1771%1.6921.1
Inferno1547%1.1419.1
Cache1164%1.3214.6
Train1060%1.0818.7

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.

25.5%Headshot accuracy
31.9%Accuracy (enemy spotted)
35.2%Spray accuracy
85.3%Counter-strafing
11.0°Preaim
575msReaction time
45.1%T opening success
32.5%CT opening success
0.66Enemies flashed / flash
9.2%Flash assists
12.97HE damage / grenade
6.07Flashes / 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

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

    CT opening duels 32.4924% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–16-0.0032%14 Sept
anubis13–11-0.0522%11 Sept
anubis13–16-0.0619%11 Sept
cache10–130.0134%9 Sept
nuke13–8-0.0138%4 Sept
train13–30.0622%3 Sept
eldorado9–60.0331%3 Sept
inferno4–9-0.0613%3 Sept
inferno9–30.1844%3 Sept
mirage13–9-0.0518%2 Sept
anubis8–130.1339%2 Sept
anubis9–13-0.0118%2 Sept
ancient13–7-0.0717%1 Sept
mirage2–13-0.0133%1 Sept
mirage13–9-0.0319%31 Aug
cache10–13-0.0617%30 Aug
cache13–10-0.0723%30 Aug
nuke13–60.1121%30 Aug
inferno11–13-0.0716%30 Aug
nuke13–9-0.0115%30 Aug
cache13–40.1540%30 Aug
cache6–13-0.0316%29 Aug
dust219–160.0430%29 Aug
dust213–70.0444%29 Aug
anubis13–80.0738%29 Aug
anubis8–130.0324%27 Aug
mirage8–13-0.0515%27 Aug
anubis16–120.0327%26 Aug
anubis6–13-0.0143%26 Aug
nuke8–13-0.0415%23 Aug
cache13–20.0130%23 Aug
dust213–9-0.0317%22 Aug
cache13–110.0230%22 Aug
cache13–100.0630%22 Aug
cache13–40.0616%22 Aug
vertigo16–140.0318%22 Aug
dust213–100.0130%22 Aug
nuke13–160.0526%22 Aug
anubis13–7-0.0324%21 Aug
office11–13-0.0524%21 Aug
anubis13–60.0148%21 Aug
anubis13–9-0.0123%20 Aug
anubis10–13-0.0122%19 Aug
mirage13–100.0114%19 Aug
ancient9–130.0117%19 Aug
dust214–160.0618%19 Aug
dust213–16-0.0432%19 Aug
dust217–19-0.0128%18 Aug
dust213–40.059%18 Aug
dust213–110.0433%18 Aug
office13–70.0136%18 Aug
dust213–80.0113%17 Aug
anubis13–100.0120%17 Aug
dust213–30.0638%17 Aug
cache13–50.0618%17 Aug
dust27–13-0.0522%17 Aug
nuke5–20.0831%4 Aug
cache13–9-0.076%4 Aug
dust212–12-0.0420%4 Aug
ancient0–2-0.0350%3 Aug
inferno7–13-0.0520%3 Aug
anubis13–6-0.0621%3 Aug
office4–13-0.0515%3 Aug
mirage13–8-0.0422%2 Aug
inferno11–130.0131%2 Aug
cache13–60.0213%2 Aug
inferno2–90.0150%2 Aug
overpass1–13-0.1017%2 Aug
dust213–100.0427%2 Aug
dust29–130.0526%2 Aug
mirage4–13-0.0714%2 Aug
nuke13–4-0.0436%1 Aug
inferno7–130.0013%1 Aug
cache13–6-0.0219%1 Aug
dust213–110.0823%1 Aug
cache11–13-0.0631%1 Aug
dust213–40.0338%1 Aug
mirage13–4-0.0138%30 Jul
vertigo13–80.0744%29 Jul
dust213–30.0738%29 Jul
anubis13–30.0528%28 Jul
cache2–13-0.1033%28 Jul
ancient10–130.0024%21 Jul
cache8–13-0.0418%13 Jul
dust24–13-0.0535%13 Jul
mirage8–13-0.0537%13 Jul
cache5–130.0622%12 Jul
cache8–30.0539%12 Jul
cache13–6-0.0245%12 Jul
nuke16–140.1024%11 Jul
dust213–40.0821%11 Jul
anubis13–70.0831%11 Jul
inferno13–70.0327%11 Jul
mirage2–11-0.0625%4 Jul
overpass11–130.0523%4 Jul
dust27–13-0.0224%3 Jul
inferno13–90.0521%3 Jul
nuke10–130.0523%3 Jul
overpass14–160.0623%2 Jul
inferno7–90.0538%28 Jun

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 →