tf129 FORESKINS

tf129 FORESKINS — CS2 Stats

76561198750247639[U:1:789981911]Steam profile ↗✓ No bans

214Tracked matches45%Win rate2026Tracked since
204Hours in CS2Hrs last 2 wks
CSDB Rating4.1 Developing
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 medianLevel 5 medianvs Level 5
Headshot rate36.7%42.7%44.0%7.3% short
Shot accuracy0.0%10.8%11.6%11.6% short
Kill/death ratio1.251.001.03above
Match win rate53.1%44.1%45.1%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGtf129 FORESKINSFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim39
Positioning62
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY543610Last 10054%Win rateTTWWWLWLWL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Aim3.9
Aggression8.0
Utility2.6
Positioning6.2
Opening Duels3.3
Clutch0.0

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

b1t

Plays most like b1t 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 641ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.9
Positioning6.2
Utility2.6
Mechanics4.2
Opening Duels3.3
Win Impact3.3

Composite 4.1/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time648ms+11ms
first ⅓ avg 637ms → last ⅓ avg 648ms
Headshot accuracy12.2%+0.2%
first ⅓ avg 12.0% → last ⅓ avg 12.2%

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

0.38Best rating — inferno 9–0
131Biggest win — train
6Longest win streak
96In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 60% over 10anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA29161355%0.01
nukeA28161257%-0.00
vertigoA106460%0.09
anubisD72529%0.00
overpassA53260%0.07
dust243175%0.04
mirage42250%0.00
train32167%0.06
office31233%0.07
ancient21150%-0.04
cache21150%0.02
poseidon21150%-0.02
sanctum1010%-0.04

Across the last 100 tracked matches.

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

Lifetime stats

11,020Lifetime kills
1.25K/D · Top 25% of Level 4 players
803Matches
53.1%Match win rate · Top 5% of Level 4 players
36.7%Headshot %
0.0%Shot accuracy
2,173MVPs
108Hours (in match)
243Bombs planted
378Bombs defused

Most-used weapons

Lifetime map wins

1,126inferno
801nuke
658vertigo
582dust2
194train
70office
9ar_shoots
5ar_baggage

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

Faceit stats

Combat

2Matches
50%Win rate
0.42Avg K/D
45.9ADR
46%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21100%0.502.0
Ancient10%0.357.0

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.

13.3%Headshot accuracy
31.2%Accuracy (enemy spotted)
32.8%Spray accuracy
69.1%Counter-strafing
10.4°Preaim
641msReaction time
37.2%T opening success
49.2%CT opening success
0.38Enemies flashed / flash
3.9%Flash assists
3.02HE damage / grenade
4.28Flashes / 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 13.3344% — below the 15% mark we flag

    Aim Training
  2. 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 0.3777 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 37.1523% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo8–80.0510%25 Aug
overpass8–80.0213%25 Aug
dust213–110.0010%25 Aug
mirage7–10.024%25 Aug
train13–10.0511%13 Aug
train10–130.0212%13 Aug
nuke9–7-0.063%12 Aug
ancient10–13-0.0710%6 Aug
mirage13–90.0313%6 Aug
nuke5–130.1523%6 Aug
anubis15–15-0.0412%29 Jul
ancient13–8-0.0118%28 Jul
anubis10–13-0.0214%27 Jul
anubis7–10.0538%27 Jul
dust23–13-0.0412%27 Jul
anubis11–13-0.0915%26 Jul
mirage4–13-0.1013%26 Jul
inferno10–13-0.0611%24 Jul
anubis13–100.1015%24 Jul
nuke7–90.0119%23 Jul
anubis6–13-0.036%23 Jul
cache9–13-0.0311%17 Jul
inferno6–130.0113%15 Jul
anubis9–130.0311%15 Jul
office6–130.069%15 Jul
office13–30.1512%8 Jul
office5–130.012%8 Jul
cache13–110.086%3 Jul
inferno9–70.0316%3 Jul
nuke9–30.0716%3 Jul
nuke9–10.3617%3 Jul
inferno2–9-0.225%3 Jul
inferno2–9-0.113%2 Jul
inferno4–9-0.107%23 Jun
inferno9–60.0519%23 Jun
inferno7–9-0.1113%17 Jun
train13–70.1114%17 Jun
inferno6–9-0.062%17 Jun
vertigo7–90.295%14 Jun
dust213–90.0619%11 Jun
nuke5–9-0.175%10 Jun
nuke8–8-0.0917%10 Jun
dust213–40.1411%10 Jun
mirage6–130.0713%10 Jun
nuke8–8-0.0914%6 Jun
nuke9–20.074%6 Jun
poseidon9–60.0415%6 Jun
overpass9–10.3117%6 Jun
poseidon8–8-0.073%6 Jun
vertigo9–70.0216%6 Jun
inferno9–40.148%6 Jun
inferno4–9-0.1219%6 Jun
overpass4–9-0.0413%5 Jun
sanctum8–8-0.047%5 Jun
nuke9–40.079%5 Jun
nuke9–40.068%5 Jun
nuke5–90.008%4 Jun
nuke9–30.025%4 Jun
vertigo9–30.0819%4 Jun
inferno5–9-0.103%4 Jun
inferno9–60.095%4 Jun
nuke4–9-0.113%3 Jun
overpass9–60.0222%3 Jun
inferno9–7-0.055%3 Jun
vertigo9–40.0524%3 Jun
inferno9–50.0415%3 Jun
inferno9–60.1412%3 Jun
inferno4–9-0.108%2 Jun
nuke9–40.019%2 Jun
inferno9–30.1522%2 Jun
nuke9–40.104%2 Jun
nuke7–9-0.137%2 Jun
vertigo8–80.0117%1 Jun
inferno9–50.0220%1 Jun
inferno9–70.004%1 Jun
inferno9–00.3814%31 May
nuke9–20.037%31 May
vertigo9–10.1719%31 May
nuke9–40.0213%31 May
inferno8–8-0.058%31 May
nuke9–6-0.0025%31 May
inferno9–50.066%31 May
nuke9–50.1014%30 May
overpass9–40.0321%29 May
nuke9–30.0113%29 May
inferno5–9-0.139%29 May
nuke9–7-0.047%29 May
nuke7–9-0.086%29 May
nuke4–9-0.119%29 May
inferno9–10.3518%29 May
inferno9–50.0317%29 May
vertigo3–9-0.149%29 May
nuke9–60.079%29 May
inferno9–4-0.0116%28 May
inferno4–9-0.124%28 May
nuke8–8-0.128%28 May
nuke1–9-0.1825%28 May
vertigo9–7-0.006%27 May
vertigo9–00.3613%27 May
inferno9–60.0711%27 May

Match data via Leetify.

Recent teammates

Milestones

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